AI‑Enabled Dashboards for Seasonal Visibility The global kiwifruit industry is under pressure like never before.  Growers are dealing with climate volatility, exporters are navigating longer and riskier supply chains, and marketers are expected to deliver consistent quality and returns across a highly seasonal, biology‑driven business . For grower‑owned organizations such as Zespri, these challenges come with an added responsibility: ensuring fairness, transparency, and confidence for every grower, not just market success.  In this context, fragmented reports and backward‑looking spreadsheets are no longer enough. What’s needed is a connected, insight‑driven view of the entire season-from orchard to market.  This blog walks through a two‑page Power BI dashboard designed for the kiwifruit industry, illustrating how modern analytics helps answer three critical business questions:  How is the kiwi season tracking right now?  What risks and opportunities are emerging early?  Are growers being rewarded fairly and transparently?    Business Context: Why Seasonal Visibility Matters in Kiwifruit   The kiwifruit industry operates within a tightly constrained seasonal window, where biological limits, logistics complexity, and market expectations must align precisely. Success depends not just on execution, but on timely visibility across the entire value chain. Key realities shaping the kiwifruit business: Harvest timing is biologically fixed and cannot be shifted Fruit quality develops within narrow, time-sensitive windows Shelf life begins declining immediately after harvest Export journeys span multiple weeks across global routes Climate variability increasingly disrupts harvest planning Labor availability is constrained during peak harvest periods Logistics and cold-chain costs continue to rise Retailers expect consistent, year-round availability Growers expect clear, fair, and transparent returns Why visibility during the season is critical (AI‑Enabled Dashboards for Seasonal Visibility) In the kiwifruit industry, timing directly determines value . Issues identified too late, whether slower harvest progress, quality variation, or shelf-life pressure—cannot be fully corrected through downstream actions. When in-season visibility is limited, organizations are forced into reactive decision making , often after key outcomes are already set. This leads to inefficiencies, missed opportunities, and misalignment across stakeholders. By contrast, strong seasonal visibility enables: Early identification of risks and deviations Realistic management of uncertainty Timely coordination across growers, operations, and markets It transforms the season from reactive firefighting  into proactive, controlled execution , where decisions are made while there is still time to influence outcomes. This is the critical business gap the dashboard is designed to address. Dashboard Overview (AI‑Enabled Dashboards for Seasonal Visibility) Visibility is the foundation of effective decision‑making. By bringing critical information together in a clear and timely manner, dashboards enable teams to understand what is happening, why it matters, and what needs attention next. To see these dashboards in action, watch the short demo video that walks through both the season‑level and grower‑level views in detail. AI‑Enabled Dashboards for Seasonal Visibility   Dashboard 1: How the Kiwi Season Is Tracking   Dashboard1: How the Kiwi Season Is Tracking   This dashboard provides a season‑level operational view of how the harvest is unfolding against plan. It brings together harvest progress, expected season outcome, geographic contribution, and early operational risk into a single, coherent picture.  High‑level KPIs summarize harvest progress, plan alignment, export value, and average returns, while supporting visuals show how the season is progressing over time, where fruit is coming from, the likely range of season outcomes, and early shelf‑life risks.  Usage:  This page is used by operations and leadership teams as a regular in‑season check‑in . It helps identify drift early, acknowledges uncertainty instead of hiding it, and supports timely decisions around logistics, storage, and market allocation, before options disappear.    Dashboard 2: Grower Performance & Settlement   Dashboard2: Grower Performance & Settlement   This dashboard shifts focus from season execution to grower outcomes , showing how volume and quality translate into financial returns and how those outcomes are distributed across growers and across the season.  KPIs highlight total supply, average returns, total payout value, and top‑grade contribution, while visuals connect quality performance to returns, place grower outcomes in context, show seasonal quality patterns, and provide settlement‑level transparency.  Usage: This page supports grower engagement, settlement discussions, and internal governance by making outcomes clear, explainable, and defensible . It replaces subjective interpretation with shared facts, helping reinforce trust and confidence in the fairness of the system.    How the Dashboard Helps Address Industry Challenges   This two‑page dashboard directly tackles the core challenges facing the kiwifruit industry:  Late discovery of problems → Early visibility into harvest pace, quality shifts, and shelf‑life pressure  Managing biological uncertainty → Scenario‑aware views that show likely ranges, not false precision  Grower trust and transparency → Clear linkage between contribution, quality, and returns  Siloed decision‑making → A shared version of the truth across growers, operations, and markets  Instead of explaining outcomes after the season ends, teams can now manage the season as it unfolds.  In an industry where timing, quality, and confidence define success, this combination turns data from a reporting artefact into a strategic capability .    Final Thought  Kiwi seasons rarely fail suddenly-they drift off course quietly.  By combining early seasonal visibility with transparent grower outcomes , this dashboard empowers organizations to act sooner, explain outcomes better, and strengthen confidence across the entire value chain.   The current dashboards represent a starting point rather than an endpoint. The same data foundation can enable deeper insights across regions, markets, quality trends, and forward‑looking scenarios as business needs mature. That is how data truly reshapes the kiwi season—from orchard to outcome.      How AccleroTech Can Help  AccleroTech specializes in building AI‑first, reuse‑first analytics solutions that help organizations move from hindsight to foresight—without disrupting core systems.  With 160+ reusable solutions , AccleroTech accelerates time to value by combining:  AI‑first architecture for predictive and prescriptive insights  Clean‑core, sidecar‑based analytics that avoid over‑customizing ERP platforms  Microsoft Power BI and the Power Platform for scalable, secure enterprise analytics  Whether enabling in‑season visibility, improving risk detection, or delivering transparent performance and settlement insights, AccleroTech focuses on solutions that align operational clarity, trust, and agility.  For more information, contact us at info@acclerotech.com

AI‑Powered Visibility Across Livestock and Feed Operations Livestock and feed operations operate in a highly interconnected environment.   Livestock demand fluctuates with market cycles, feed availability depends on crop performance and sourcing stability, and quality must be maintained consistently across plants, regions, and seasons. Yet in many organizations, these dimensions are still reviewed through disconnected reports and siloed systems. Sales teams focus on demand, operations teams manage supply, and quality teams track compliance, often without a shared view of how these signals influence one another. This disconnect is where risk quietly builds. To manage scale, protect margins, and maintain trust, organizations need connected visibility, a way to see demand pressure, supply readiness, and quality performance together. This is where Livestock & Feed dashboards move from reporting tools to decision enablers. The Business Challenge: Growth Without Visibility Creates Risk In livestock and feed operations, growth is often seen as a positive signal-rising demand, expanding production, and broader market reach. However, when this growth is not matched with end‑to‑end visibility, it can quietly introduce risk into the organization. As livestock demand increases, feed operations are expected to scale quickly. Supply chains become more complex, sourcing spans multiple crops and regions, and production volumes rise across plants. At the same time, quality expectations remain non‑negotiable, with regulatory compliance and downstream trust depending on consistent standards. Without a connected view, leaders are left navigating these dynamics through fragmented information : Sales and demand trends are reviewed independently of supply readiness Feed production data lacks context on dependency and resilience Regional performance variations are difficult to compare and prioritize Quality signals emerge late, often after deviations or failures occur Teams spend time reconciling reports instead of acting on insights This fragmentation creates blind spots. Decisions are made with partial context, issues surface only after impact is felt, and corrective actions become reactive rather than preventive . What begins as growth momentum can quickly translate into operational strain, margin pressure, or compliance exposure. The real challenge, therefore, is not growth itself-but managing growth without a unified, trusted view of demand, supply, and quality. Addressing this challenge requires dashboards that connect these dimensions, turning scattered data into shared understanding and enabling leaders to act with confidence rather than hindsight. Why Livestock & Feed Dashboards Are Needed Dashboards are not about displaying data—they are about creating shared understanding . A well‑designed Livestock & Feed dashboard enables leaders to: See how livestock demand and feed supply evolve together Understand the composition and resilience of feed inputs Identify regional pressure points early Monitor quality trends instead of isolated test results Align commercial growth with operational and quality readiness The result is faster, more confident decision‑making across teams. Dashboard Insights: Page‑by‑Page View ( AI‑Powered Visibility Across Livestock and Feed Operations) To see how these insights come together in practice, watch the demo of the AI‑enabled Livestock & Feed Dashboard in action Livestock and Feed Dashboard The Livestock & Feed dashboard is designed as a connected journey , with each page building on the previous one— moving from demand context to quality outcomes. Page 1: Feed Sales & Demand Overview Feed Sales & Demand Overview Dashboard This page establishes the operational and commercial context  for livestock and feed decision‑making. By bringing together feed sales performance, livestock demand patterns, and supply availability, the dashboard allows leaders to understand how these forces interact over time. Trend‑based views highlight whether demand is stabilizing, accelerating, or beginning to place pressure on available supply—providing early signals that support proactive planning. The page also helps stakeholders understand what drives feed supply , offering visibility into feed crop composition. This insight supports more informed discussions around sourcing strategies, diversification, and long‑term resilience. A regional view further strengthens decision‑making by showing how performance varies across locations, helping organizations align logistics, production planning, and operational focus with market demand. Business impact: Leaders gain a shared, end‑to‑end understanding of demand pressure, supply readiness, and regional dynamics—reducing surprises and improving planning confidence. Page 2: Quality Insights Quality Insights dashboard As operations scale, quality becomes the anchor that sustains growth . The Quality Insights page  shifts the focus from volume to consistency, providing a consolidated view of feed quality across plants and quality assurance processes.   Instead of reviewing individual test results in isolation, leaders can quickly assess whether quality is stable, trending, or beginning to show early signs of risk. Trend‑based views are central to this page. By tracking quality indicators over time, the dashboard reveals variability and emerging patterns that may point to upstream issues such as raw material changes, seasonal effects, or process execution gaps. This enables early intervention-before quality issues escalate into compliance concerns or downstream impact. The page also introduces transparency across QA labs and plants, helping teams identify where performance is consistent and where focused improvement is required. This supports targeted action rather than broad, reactive measures. Business impact:  Organizations move from reactive quality management to proactive risk prevention—protecting compliance, operational efficiency, and trust. Connecting Demand, Supply, and Quality Individually, each dashboard page answers a specific question. Together, they tell a complete operational story: Demand visibility informs supply planning Supply composition highlights resilience and risk Regional insights guide operational focus Quality trends enable early intervention QA transparency drives continuous improvement This integrated approach ensures that growth decisions remain aligned with operational capability and quality governance. From Visibility to Business Outcomes (AI‑Powered Visibility Across Livestock and Feed Operations) The true value of the Livestock & Feed dashboard lies in the outcomes it enables: Anticipating demand–supply imbalances before they impact operations Strengthening feed supply foundations through informed sourcing decisions Detecting quality risks early through trend‑based monitoring Aligning commercial ambition with operational and quality readiness In an environment where margins are tight and expectations are high; leaders need more than fragmented insights. By connecting livestock demand, feed supply, and quality performance into a single, intuitive experience, organizations turn complexity into clarity-and data into confident decisions. About AccleroTech AccleroTech specializes in building AI‑first, reuse‑first analytics solutions  that help organizations move from hindsight to foresight-without disrupting core systems.  With 160+ reusable solutions , AccleroTech accelerates time to value by combining:  AI‑first architecture  for predictive and prescriptive insights  Clean‑core, sidecar‑based analytics  that avoid over‑customizing ERP platforms  Microsoft Power BI and the Power Platform  for scalable, secure enterprise analytics Whether addressing demand–supply imbalances, detecting quality risks early, or providing transparent insights across livestock and feed operations, AccleroTech  delivers solutions that align operational clarity, trust, and agility. For more details, contact us at info@acclerotech.com

When Credit Risk Is Locked in Too Late: How AI‑Driven Evidence Readiness Changes Credit Decisions Extending credit is essential for growth in many industries-manufacturing, distribution, and capital‑intensive sectors in particular. Credit enables customers to operate, supports sales cycles, and strengthens long‑term relationships. Yet across organizations, the most damaging credit losses rarely stem from aggressive risk‑taking alone. They originate from credit granted without sufficient evidence readiness. Consider a mid‑sized manufacturer with an annual receivable's portfolio of $120–150 million. Even a 2–3% increase in bad debt  due to weak credit decisions can translate into several million dollars in write‑offs. In most cases, these losses are not caused by fraud or market shocks-but by incomplete documentation, outdated financials, or unverified assurances at the time credit was approved . Bad credit does not begin with non‑payment. It begins with decisions made without full readiness . Business Context: Credit Risk Is a Documentation Problem First Modern credit decisions are expected to be fast, consistent, and scalable-often across regions with different legal and regulatory expectations. Sales pressure, customer urgency, and market expansion frequently push teams to accelerate approvals. In practice, creditworthiness assessment relies on: Financial statements and credit reports Guarantees, contracts, and collateral evidence Identity and compliance documents Region‑specific regulatory and legal requirements As organizations grow, these inputs become fragmented across systems, shared drives, emails, and third‑party portals. Reviews remain largely manual, and completeness is often assumed rather than verified. For example: A distributor may approve credit based on financials that are 6–9 months old A guarantee may be referenced but not legally validated Regional documentation requirements may be partially met but not enforceable At scale, this creates a widening gap between credit approval  and credit confidence . Key Challenges: Why Credit Risk Is Hard to Control at Scale Key Challenge What Happens in Practice Indicative Numbers / Impact Incomplete or Unverified Documentation Credit is approved before all required documents are reviewed or validated. Financials may be outdated, guarantees unsigned, or disclosures incomplete. • 30–40% of credit files  contain missing or outdated documents at approval time  • Use of financial statements 6–9 months old  is common in fast approvals Manual, Inconsistent Assessments Credit readiness is judged using spreadsheets, checklists, and individual experience, varying by team and region. • Manual reviews introduce material inconsistency  across portfolios  • Decisions are difficult to audit or explain after default Regional Legal & Compliance Variability Documentation sufficient in one country may be inadequate or unenforceable in another, especially across borders. • Cross‑border customers face different enforceability standards     • Credit recoverability drops sharply when local requirements are unmet Late Discovery of Risk Documentation gaps are identified only after delayed payments, disputes, or covenant breaches. • Risk often surfaces 3–6 months after credit is granted     • Recovery options narrow significantly once disputes arise Escalation Without Defensibility Legal or recovery teams receive cases with incomplete evidence, limiting enforcement and negotiation leverage. • ~ 20–25% of escalated credit cases  lack complete supporting evidence  • Leads to longer recovery cycles and higher write‑offs These issues compound quietly. Credit appears healthy-until defaults surface, recovery stalls, and losses accumulate. Real‑World Examples of Credit Failures Example 1: Outdated Financials A manufacturer extends credit to a fast‑growing customer using financial statements that are nearly a year old. Deteriorating liquidity goes unnoticed. Within six months, payments stop. Recovery is limited, as no updated disclosures were contractually enforced. Example 2: Weak Guarantees A regional distributor relies on a personal or corporate guarantee without validating enforceability under local law. When the customer defaults, the guarantee proves legally weak—significantly reducing recovery prospects. Example 3: Cross‑Border Expansion Risk Credit is extended to an overseas customer using domestic documentation standards. Local regulatory and evidence requirements were not fully met, complicating enforcement and legal escalation later. In each case, the loss could have been reduced-or avoided, if evidence readiness had been assessed upfront. The Sidecar Model: Intelligence Without Disrupting SAP The solution is not replacing core ERP systems . SAP Financials and related platforms already do what they were designed for, accurate transaction recording and process control. What is missing is intelligence across the lifecycle. This is where the sidecar architecture  becomes critical. A sidecar is an intelligent extension that runs alongside SAP and existing SaaS platforms. It does not become another system of record. Instead, it serves as a system of intelligence and action . At a high level: SAP Financials  remains the system of record Sidecar Application  becomes the system of intelligence Agentic AI  provides reasoning, guidance, and next‑best actions This clean‑core approach allows organizations to modernize financial operations without heavy customization or disruption. Agentic AI: Moving Beyond Workflow Automation Traditional automation improves efficiency at individual steps-but it lacks context. Agentic AI operates differently. Within the sidecar, Agentic AI: Understands contracts, invoices, and payment behavior Reasons over missing information and risk signals Continuously evaluates case readiness Guides teams on what to do next-and why Instead of managing disconnected tasks, the sidecar manages financial cases  end‑to‑end. This capability becomes transformational when disputes and documentation enter the picture. Intelligent Financial Sidecar Architecture (When Credit Risk Is Locked in Too Late: How AI‑Driven Evidence Readiness Changes Credit Decisions ) Intelligent Financial Sidecar Architecture Intelligent Financial Sidecar Architecture  illustrates a clean‑core approach where AI capabilities are delivered without disrupting core ERP systems. Financial and contract data from the ERP flows into a sidecar data and AI layer, where intelligent models and agentic AI continuously interpret transactions, documents, and behaviors. Within the sidecar, specialized capabilities such as cash‑flow insights, intelligent collections, dispute management, and legal risk prediction operate as coordinated agents rather than isolated processes. These agents assess context, evaluate readiness, surface risks early, and recommend next actions across the financial lifecycle. All insights and actions are surfaced through a unified dashboard, providing business, finance, and legal teams with a single, actionable view-from data to decision to resolution while preserving ERP stability and audit integrity. Business Impact: What Poor Credit Readiness Really Costs (When Credit Risk Is Locked in Too Late: How AI‑Driven Evidence Readiness Changes Credit Decisions) What This Means for Control, Confidence, and Capital When credit decisions lack evidence readiness, organizations experience: Higher bad‑debt exposure  and increased provisions Longer recovery cycles and lower recovery rates Increased legal and compliance effort Reduced confidence in credit portfolios Cautious or inconsistent future credit decisions that slow growth For many organizations, a 1–2% deterioration in credit quality  can meaningfully impact margins—especially in manufacturing and distribution where working capital is critical. What often appears as “unexpected loss” is usually the outcome of earlier decisions made without sufficient evidence clarity. The Shift: From Credit Approval to Credit Readiness Strong credit management is no longer just about scoring models and limits. It is about readiness . Before credit is extended, organizations must be confident that: Required documents are complete and current Evidence complies with regional legal standards Guarantees, contracts, and disclosures are enforceable Decisions are auditable and defensible This shift requires intelligence embedded directly into the process—not more manual review or additional bureaucracy. Demo: Document & Evidence Readiness Assistant The Document & Evidence Readiness Assistant  introduces structure and intelligence into credit workflows. See the demo to experience how AI agents enable document and evidence readiness in real time.   While the demo illustrates one scenario, the same assistant can be configured and customized to support different use cases—such as collections, credit risk, compliance, or regional requirements across the financial lifecycle . Document Evidence Agent Operating as a sidecar to existing ERP, credit, and finance systems, it: Understands the credit scenario and customer context Identifies exact documentation requirements  based on policy, region, and customer type Ingests and validates submitted evidence Flags missing, outdated, or inconsistent documents Highlights readiness gaps before approval Presents a clear readiness view  to decision‑makers The Outcome: Credit Decisions with Confidence Extending credit will always involve measured risk. But extending credit without evidence readiness introduces avoidable and unnecessary exposure . By embedding document and evidence intelligence into credit decisions, organizations enable: More consistent and defensible approvals Lower bad‑debt and write‑off rates Stronger compliance and audit readiness Greater confidence in credit portfolios Because sustainable growth is built not on speed alone—but on ready, defensible decisions. Why Acclerotech At Acclerotech, the focus is not just on technology-but on outcomes. We help organizations: Build the sidecar layer  without impacting existing SAP investments Integrate financial, document, and operational data seamlessly Deploy Agentic AI models tailored to collections and dispute workflows Design intuitive dashboards and Copilot experiences for business users Enable end-to-end visibility from invoice to resolution Our approach is incremental, practical, and aligned to your current architecture.   No rip-and-replace. No disruption to core systems. Just a smarter layer that helps your teams make better decisions faster. For more details, contact us at info@acclerotech.com

AI‑Enabled Dashboard for Proactive Kiwi Season Management Context Kiwi fruit production and export operate within fixed biological windows, long supply chains, and high dependency on in‑season decisions. Harvest timing, quality development, regional contributions, and shelf‑life risks must be managed while the season is still unfolding. At the same time, grower‑centric organisations require transparent and defensible visibility into how performance translates into returns. The Kiwi Fruit Dashboard uses AI‑driven dashboards to provide a connected, real‑time view of the season and grower outcomes-enabling organisations to manage complexity proactively rather than relying on retrospective reporting. Challenges Operational teams often depend on fragmented reports that surface issues only after critical decision windows have closed. Uncertainty caused by weather variability, labour constraints, and logistics delays is difficult to manage with static forecasts. In parallel, grower settlement discussions become challenging when quality performance, contribution, and payout logic are not clearly connected. This lack of integrated visibility creates blind spots across season management, increases reactive decision‑making, and weakens confidence in outcome fairness. Solution Using an AI‑first dashboard design , the iKiwi Fruit Dashboard delivers two integrated, purpose‑built views. The Season‑Level Dashboard consolidates harvest progress, early risk signals, regional contribution, and expected season outcome ranges into a single operational view, enabling proactive in‑season planning and scenario‑aware decision‑making. The Grower‑Level Dashboard connects quality performance, volume contribution, and returns at the grower level, providing transparent and explainable settlement visibility. Together, these dashboards create a shared source of truth that supports timely decisions, reinforces trust, and allows additional AI‑driven insights to be layered in as needs evolve. Previous Item Next Item

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Read More Using Performance Analyzer for Power BI Reports This solution shows the usage of Performance Analyzer in analyzing slow-loading Power BI Reports and how to identify the precise components causing performance issues. Read More Azure Active Directory & Power Automate Integration This solution automats the process of creating a user in Azure Active Directory and assigning Office 365 licenses using Microsoft Power Automate. It leverages Azure AD Graph API for user management and license assignment, making administrative tasks more efficient. Read More X (Twitter)-Microsoft Teams Integration for the hashtags This solution monitors X for tweets with specific hashtags and notifies a Microsoft Teams channel for real-time updates. Read More X (Twitter)-Microsoft Outlook Integration for the Sentiment Analysis This solution uses AI Builder's sentiment analysis to detect negative X posts (tweets) and automatically sends an Outlook email notification for immediate attention. Read More Integrity CRM-Plumsail Documents Integration in Power Automate This tool integrates Integrity CRM with Plumsail Documents via Power Automate, automating document creation from Insightly CRM projects into formats like Word, Excel, PowerPoint, or PDF. Read More Capsule CRM-Plumsail Documents Integration using Power Automate This Power Automate solution integrates Capsule CRM with Plumsail Documents, automatically generating Word, Excel, PowerPoint, or PDF documents when a new opportunity is added to Capsule CRM. Read More SAP-Salesforce Integration in Power Automate This Power Automate solution syncs a Customer as well as creates an order in SAP B1 automatically, whenever a new opportunity is created in Salesforce, streamlining the sales and order management process Read More Integrate Tago with Zendesk Tago-Zendesk integration using Power Automate effectively uses a temperature sensor to monitor conditions and automatically creates a support ticket in Zendesk if the temperature exceeds a set threshold Read More Integrate Zendesk with Microsoft Teams This Power Automate solution seamlessly posts support tickets from Zendesk to Microsoft Teams, enhancing team collaboration and response efficiency Read More Sync Salesforce Order with QuickBooks ERP Power Automate solution that automatically generates an order in QuickBooks whenever a new opportunity is created in Salesforce, streamlining the order management process Read More SharePoint and Salesforce Integration Automation Using Power Automate to cleanses and validates addresses from a SharePoint List and update the Salesforce Account entity, ensuring accurate and standardized address data Read More Contract wins signing workflow Automation Power Automate solution that initiates a deal review and approval process using Adobe Acrobat Sign for any Salesforce opportunities won in the last 24 hours, streamlining contract signatures Read More Salesforce Lead and Teams Integration Automation Power Automate solution that alerts your team whenever a new lead or opportunity is added in Salesforce, ensuring timely follow-ups and improved collaboration Read More AI automation to analyze email sentiments and intimate team Email Sentiment Analysis solution uses AI Builder to analyze the sentiment in Outlook when a new email arrives, and sends a message to Teams with the email details and sentiment analysis results Read More Pre-visit Health check-in for patients of Healthcare providers Pre-Visit Health Check-In Survey solution integrates with Microsoft Cloud for Healthcare to send pre-visit Customer Voice surveys to patients and proactively assesses current medical conditions and health vitals, aiding care team members in pre-visit preparation Read More Post visit follow-up Automation for Healthcare providers Post-Visit Follow-Up survey automation solution integrates with Microsoft Cloud for Healthcare to send Customer Voice surveys to patients after home visits and collects satisfaction metrics Read More Recurring Survey for Health Check-In solution for Healthcare providers The Recurring Survey for Health Check-In solution integrates with Microsoft Cloud for Healthcare to send periodic Customer Voice surveys to patients and continuously assesses patients' current medical conditions and health vitals Read More Automated Patient service center satisfaction survey for Healthcare providers Solution to send patient service center satisfaction surveys which integrates with Microsoft Cloud for Healthcare Read More Generating agreements from template and getting signature through automated workflow Generating custom documents by selecting Word template in OneDrive, input custom data in a form, sending it for signature with Adobe Sign, and notifying in Teams Read More Copilot integration with To Do and Planner Copilot retrieves tasks from Microsoft To Do and Planner, sorting them in ascending order of due date to help prioritize and manage your workload efficiently Read More Automating Voice Calls Using Azure Communication Services Pre-built solution leveraging Azure Communication Services to automate voice calls for notifications, reminders, or customer interactions, reducing manual efforts and ensuring consistent communication Read More Get email on upcoming calendar events based on personalized criteria Power Automate solution that analyzes calendar for the upcoming week, identifying locations, flights, hotels, and weather, and sends a personalized email summary to keep everyone organized and prepared Read More Automated System Crash and Hang Monitoring Automated solution leveraging Power Automate to monitor application crashes and create incident tickets in ServiceNow for real-time detection and quick resolution Read More Automated System Monitoring and ServiceNow Ticket Creation Automated solution using Power Platform to monitor system parameters and create a ServiceNow ticket when utilization exceeds a threshold Read More Power Automate integration for Forms, Planner and Teams Microsoft Forms, Planner and Teams integrated through Power Automate to improve productivity Read More Well-Architected Experience Optimization Checklist and Tradeoffs Customizable checklist for enterprises to achieve experience optimization to create meaningful and effective experiences for users - as part of Power Platform CoE Read More Well-Architected Performance Efficiency Checklist and Tradeoffs Customizable checklist for enterprises to ensure performance efficiency and efficiently meet workload demands - as part of Power Platform CoE Read More Well-Architected Operational Excellence Checklist and Tradeoffs Customizable checklist for enterprises to achieve operational excellence that ensures workload quality through standardized processes and team cohesion - as part of Power Platform CoE Read More Well-Architected Security Checklist and Tradeoffs Customizable checklist for enterprise security guidance in architecture to guard confidentiality, integrity, and availability of data and systems - as part of Power Platform CoE Read More Well-Architected Reliability Checklist and Tradeoffs Customizable checklist for enterprises to evaluate reliability, resiliency, and failure recovery strategies in Power Platform architecture design - as part of Power Platform CoE Read More Power Automate Flow with AI Model for Receipt Processing Automate scanned receipts processing with AI Builder embedded in Power Automate Read More Dynamic Data Validation and Notification Automation This Power Automate flow processes incoming HTTP requests, validates the data, and triggers appropriate actions based on the results. It interacts with external systems and sends notifications or logs errors, providing feedback via HTTP responses. Read More Adding enterprise knowledge to Generative AI prompts using information in Dataverse Couple unique enterprise knowledge data from Dataverse with GPT requests, tailoring GPT outputs for specific enterprise use cases Read More Automated SharePoint Library Management and Workflow Integration Power Automate flow retrieves SharePoint lists and libraries, filters them based on specified criteria, and processes each library individually. It modifies URLs and GUIDs as needed, triggers additional flows for further processing, and automates a series of interconnected tasks in a modular workflow. Read More Dataverse Security Roles Risk Assessment Enhance security by automating role compliance checks in Power Platform, with Dataverse Security Roles Risk Assessment Read More Low code plugins in Dataverse Powerful Dataverse solution for achieving more efficient data architecture and reducing client-side workload through low-code plug-ins Read More Power Automate Task Mining: Application Analytics Power Automate Task Mining's application analytics provides insights into application usage, identifying top apps, access patterns, and detailed app insights for each activity or recording. Read More Power Automate in Task Mining: Process Analytics Task mining in Microsoft Power Automate helps discover and analyze desktop tasks, providing insights into process performance, identifying common errors, and highlighting automation opportunities. Read More Invoice Processing using AI Builder OCR This automation extracts invoice details from email attachments using AI Builder OCR, validates data based on confidence scores, and either saves the invoice or routes it for approval. Read More Dataverse virtual tables using the virtual connectors for seamless Power Apps Integrations Dataverse virtual tables enable integrating data from external data sources by seamlessly representing that data as tables in Microsoft Dataverse, without data replication Read More Microsoft Copilot in Process Mining: Analytics Copilot in Process Mining provides actionable insights through natural language, simplifying the analysis of complex process data for better decision-making. Read More PDF updating using OCR with Power Automate This Power Automate solution generates a PDF from JSON data by populating a Word template and converting it to PDF. It also uses OCR to extract and edit text from existing PDFs. The flow enables seamless document creation, text extraction, and modification, leveraging AI Builder and third-party PDF tools for end-to-end automation. Read More Power Pages Generative AI Powered Search Power Pages search with generative AI to comprehend context, meaning, and user goals to summarize search results Read More Power Pages AI summary for list In Power Pages, with AI Summary from list, users can save time by receiving a high-level summary with insights and visual data charts instead of manually sorting through complex data Read More Process Mining: Compare views Gain clarity on your refund processes with Business Process Flow: Compare Views, allowing you to analyze and compare the efficiency of Special versus Standard Voucher refunds side by side. Read More Process Mining: Visualization and Insights Optimize your business processes with our Business Process Flows: Visualize and Insights tool, which provides a clear process map and insightful metrics for enhanced decision-making. Read More AI generated multi-step Power Pages form with Copilot Rapid Power Pages Development with creation of multi-step Power Pages form using Copilot Read More Business Process Flows with Power Automate Business Process Flows in Power Automate ensure consistent data entry and standardized procedural steps across your organization. Use them to streamline customer service or enforce approval processes like invoice validations. Read More AI Models in Power Automate Business Process Flows AI Models in Business Process Flows within Power Automate adding intelligence to the flows Read More Gift Review App Gift Review App is a Power Apps solution tailored for gift officers to manage donor portfolios efficiently, providing real-time donation tracking and a comprehensive donor management system Read More Power Pages AI Form Fill Assistance Power Pages AI form fill gives users AI assistance that helps them fill the form faster and with higher accuracy Read More Project Portfolio Management The Project Portfolio app, developed using MS Power Apps, is a comprehensive tool designed for managing over multiple projects. Read More Copilot in Process Mining ingestion Simplify your process mining journey with MS Copilot in Process Mining Ingestion, which guides you through data ingestion and automaps your data to the correct schema. Read More Voice AI Agent in Copilot Studio The Voice Agent is an AI-powered solution for hands-free, self-service customer interactions, designed to slash call volumes and boost service efficiency. Read More GitHub Copilot for Power Pages Debug code and ask coding-related questions for Power Pages sites directly within Visual Studio Code Read More Power BI Complex Dashboard Pre-Built Template Power BI Complex Dashboard Pre-Built Template, with example of World Bank Data on Gender Equality Read More Power BI Dashboard Pre-Built comparison visualization Template Power BI pre-built data story for comparisons visualization, taking example of Sports by degree of difficulty Read More Citizen Services AI Agent Enhance public engagement with the Citizen Services AI Agent, simplifying access to government services through an intuitive Q&A interface. Read More Real estate management pre-built App Real estate management app created in power apps for real estate managers and tenants Read More Leave Management AI Agent Meet the Leave Management AI Agent, your MS Copilot for hassle-free leave management. It simplifies requesting time off, tracks leave history, and clarifies policy details instantly. Read More Awards and Recognition AI Agent Introducing the Awards and Recognition Agent, your MS Copilot for effortless employee accolade management. Simplify nominations and celebrate achievements to enhance workplace morale. Read More Self-Help Customer Service AI Agent Enhance customer service with AI Agent by automating case retrieval, response recommendations, and policy-based actions, leading to quicker resolutions, consistent communication, and better resource management Read More Employee benefits AI Agent Employee Benefits AI Agent provides personalized information on the benefits offered by the employer, tailored and hyper-personalized to each employee Read More Weather AI Agent for Field Workforce Weather Agent that will keep field workforce up to date on weather conditions and advisories using multiple sources of information Read More Sustainability Insights AI Agent Sustainability AI Agent for users to easily get insights and data about a company's sustainability goals and progress Read More AI Builder and ChatGPT to Process E-Mail AI Builder and ChatGPT to Process E-Mail integrates Microsoft’s AI Builder and ChatGPT to automate email processing. AI Builder extracts key data from incoming emails, while ChatGPT helps interpret and respond to the content Read More Inclusivity AI Agent Inclusivity Agent is an activist for all things inclusivity in the workplace, helping employees to have a safe workplace Read More Text recognition from Image Automation for Detecting Text from Images and Importing Data uses AI Builder in Microsoft Power Automate to detect text from new files (images) as they are created. Read More Case Management AI Agent Case Management AI Agent for Automated Support Read More Financial Insights AI Agent for BFSI Professionals AI Agent to help financial services professionals get quick and concise information and insights Read More Automating the ExportToPackage API in Office 365 Automating the ExportToPackage API in Office 365 involves setting up workflows to automatically export and package data from SharePoint or OneDrive into downloadable formats. Read More Training Registration App Customizable Training and Registration Application for Employee and Partner Trainings Read More Automation for GeoEnrich Salesforce Object Automation for GeoEnrich Salesforce Object automatically adds geographic data (e.g., city, region) to Salesforce records like Accounts and Contacts. Read More Automation of consolidated Sales Data Report Create Data Sales Report to Manager from Different Sales Emails automates the process of extracting sales data from multiple emails, consolidating it into a structured report, and sending it to the manager. Read More Automation for Sentiment Analysis on Tweets Automation for Sentiment Analysis on Tweets uses tools like Power Automate or custom scripts to automatically analyse the sentiment of tweets. Read More Twiter Post Automation The Automation Request Workflow for Posting a Tweet on Twitter enables users to automate the process of posting tweets through predefined triggers or actions. Read More IT Helpdesk Agent Meet IT Helpdesk Agent, your MS Copilot designed to boost efficiency, satisfaction, and resource use in IT support by tapping into your organization's knowledge base. Read More Store Operations AI Agent Introducing Store Operations Agent, your MS Copilot for retail, simplifying store procedures and policy access to enhance frontline worker efficiency. Read More Approval automation for Dynamics 365 Business Central (BC) In Dynamics 365 Business Central, automation of the Request Approval process streamlines approval workflows by automatically routing transactions Read More E-mail Notification based on priority Power Automate flow that triggers when a new shipping email is received. The flow analyses the email content to determine its priority (e.g., High, Medium, Low) and sends an email notification to the appropriate team or individual based on the priority level for timely action. Read More Teams Navigator Meet Team Navigator, your MS Copilot Agent in Microsoft Teams, designed to connect you effortlessly with colleagues and clarify organizational hierarchies. Read More Multilingual Chatbot Meet our Multilingual Copilot Agent, your global assistant for navigating our website in your preferred language. Ask questions, get instant answers, and enjoy a seamless browsing experience across multiple languages. Read More Customer Voice Survey Create a Power Automate flow that triggers when a new tweet is posted by a specific user. If the user has more than 100 followers, automatically send them a Customer Voice survey via direct message or email to gather feedback or insights. Read More Powerzoom Copilot Explore our website effortlessly with the MS Copilot Agent. This intelligent assistant provides quick, accurate answers to your queries using our site's content. Read More Safe Travels AI Agent AI Agent that answers common travel questions and provides info on related health and safety guidelines. Read More Role based Access Component This reusable component provides a structured overview of user roles and their access permissions within Microsoft Power Platform (Power Apps). Read More Power Pages Management The Power Pages Management solution in the CoE Kit centralizes governance of all Power Pages sites. It tracks site creation, monitors usage, manages permissions, and ensures compliance. Read More Document Management System A Document Management System (DMS) is software that helps store, organize, and track digital documents. It improves document access, security, collaboration, and workflow efficiency, while ensuring version control and compliance. Read More Project Tracker App The Project Tracker App helps teams manage tasks, deadlines, and project progress. It features interactive dashboards, integrates with Dataverse, Power Automate, and Power BI for data storage, automation, and analytics. Read More Timesheet Management Timesheet Management solution, built on the MS Power Platform, provides an intuitive, automated system for tracking work hours, managing approvals, and integrating with payroll. Read More Asset Management Asset management solution streamlines the process of reserving tools and equipment through self-service capabilities. It leverages Power Apps for user-friendly interfaces. Read More Power Platform Admin Center The Power Platform Admin Center is a centralized management tool for Microsoft Power Platform, offering environment control, security policies, compliance enforcement, and usage analytics. Read More Vacation Booking App Transform your leave management into an engaging vacation booking experience Read More CoE Admin Environment Request The CoE Admin Environment Request app is used by admins as an interface to view and approve or reject requests to create or modify Power Platform development resources Read More Data Policy Impact Analysis for Power Platform COE Managing data loss prevention (DLP) policies while showing a list of apps and flows that are impacted by the policy configurations. Read More Weekly Time Card Solution A robust Weekly Time Card solution built using Microsoft Power Apps to streamline employee time tracking and managerial approval workflows. Read More Smart Visual Interaction Toolkit "Capture & Create" empowers Power Apps with Camera, Pen, and File controls for seamless image capture, annotation, and uploads. Read More AI Builder Prebuilt Models Solution leveraging AI Builder Prebuilt Models in Power Apps to automate and enhance business processes. Read More Risk Assessment Portal & Dashboard Intuitive risk assessment portal and dashboard for Financial Advisors. Read More Gen AI Social Media Post Generator Tapping into the power of GenAI to generate social media posts! Read More Ask Powerzoom Copilot Cool Copilot for prospective employees, customers and partners! Read More Gen AI LinkedIn Job Posts Get Job Posts generated in a jiffy, with Gen AI! Read More AI Card Reader Powerzoom helps frontline executives save time with pre-built AI Card Reader. Read More Component Library Powerzoom has built a re-usable components library to speed-up Power Platform Development. Read More Training Chatbot with Excel Powerzoom has developed models to train Chatbot with Excel. Read More Session Management & HTTP Powerzoom has solved inter-communication issues of apps with session management solution. Read More Powerzoom AI Use Cases Powerzoom leverages pre-built and custom AI models in AI-First Solutions. Read More AI Sentiment Analysis Powerzoom leverages pre-built AI models to analyze sentiments. Read More Invoice Information with AI Powerzoom uses pre-built AI models to extract data from scanned invoices. Read More Automate (Flow) as a Controller Powerzoom enables enterprise grade architecture with Power Automate as controller. Read More Filter by Industry Select Industry Filter by Functions Select Functions Filter by Offerings Select Offerings Submit

Document & Evidence Assistant - AI‑Driven Readiness and Resolution Context Many financial, compliance, and dispute‑driven processes depend on collecting the right documents at the right time. However, documentation requirements vary by scenario, and incomplete or incorrect evidence often delays resolution. The Document & Evidence Assistant uses Agentic AI to act as an intelligent sidecar, helping teams identify, validate, and manage evidence across the case lifecycle. Challenges Organizations struggle with manual and fragmented document handling: Unclear or inconsistent evidence requirements Time‑consuming manual reviews Late discovery of missing or invalid documents Lack of visibility into case readiness Increased escalation, audit, and compliance risk These gaps slow resolution and increase operational effort. Solution The Document & Evidence Assistant brings AI‑led intelligence into document‑driven workflows: Understands case context and dynamically determines required documents Ingests, reads, classifies, and validates evidence automatically Checks completeness and assigns a readiness score Highlights gaps and recommends next actions Assembles structured, auditable evidence packets By transforming documents into actionable signals, the assistant accelerates resolution, reduces risk, and improves confidence—without disrupting existing systems. Previous Item Next Item