Vacation Booking App Context: Traditional leave management can feel administrative and uninspiring. This often results in inefficiencies and disengaged employees. Solution: Our app, built on MS Power Platform, turns leave management into vacation planning: User-Friendly Design: Mimics a vacation booking site for easy leave selection. Automation: Streamlines leave approvals and updates records automatically. Customizable: Adapts to specific company leave policies. Analytics: Offers insights via Power BI for strategic HR planning. Impact: Boosts Employee Morale: Makes leave booking fun and engaging. Increases Efficiency: Reduces HR workload and errors. Enhances Planning: Provides data for better resource management. Promotes Well-being: Encourages a positive view of time off. Previous Item Next Item

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

Copilots & Conversational AI Copilots that we build not only chat with your users, but we also take actions (like send email, set-up meetings etc.) ! We use Conversational AI capabilities to enable users with rich multiturn conversations. Additionally, we integrate with services and back-end systems out-of-the-box, or through custom connectors using Power Automate. Next Previous

AI Models in Power Automate Business Process Flows Context : In today's fast-paced business environment, organizations seek to streamline operations and enhance efficiency. Solution : AI models integrated into Power Automate enhance business process flows by automating complex tasks and decision-making. This integration brings intelligence to workflows, improving efficiency and accuracy. Impact : Businesses benefit from increased productivity and reduced operational errors. Ultimately, this leads to more informed decisions and a competitive edge in the market. Previous Item Next Item

Incident Intelligence Copilot-From incident reporting to insight‑driven prevention Context Energy field operations handle a high volume of safety-critical incidents every day,ranging from gas leaks and asset failures to anomalous site conditions. Operators, supervisors, and managers rely on timely and accurate incident reporting to maintain safety, reduce downtime, and meet regulatory expectations. However, data often comes from distributed field teams, making consistency, completeness, and real-time visibility difficult. An intelligent, unified incident-management system improves how incidents are logged, reviewed, analyzed, and learned from across the organization. Challenges Traditional incident workflows depend on manual data entry, delayed notifications, and inconsistent classification by field teams. Supervisors struggle to prioritize incidents without standardized severity scoring, while managers lack the trend insights needed to allocate resources proactively. Follow-ups often fall through the cracks, historical incident knowledge stays siloed, and dashboards require manual inputs that reduce their reliability. The result is slow decision-making, limited cross-team learning, and increased operational risk,especially in environments where every incident could have safety or regulatory consequences. Solution Incident Intelligence Copilot provides an end-to-end intelligent incident lifecycle powered by Microsoft Copilot Studio, Power Apps, Power Automate, and Power BI. Field operators log incidents through a guided Canvas App, while the Copilot Agent automatically classifies them, assigns severity, and recommends next actions. Supervisors receive instant notifications, review AI-generated summaries, and track follow-ups through a model-driven app. Managers access real-time dashboards for trend analysis, hot-spot detection, and weekly digests generated automatically. Finally, operators can browse similar past incidents to accelerate response and reduce repeated mistakes. With centralized Dataverse storage and AI-driven recommendations at every step, Incident Intelligence Copilot delivers a consistent, proactive, and insight-rich incident management experience across the entire organization. Previous Item Next Item

Well-Architected Reliability Checklist and Tradeoffs Context: Without a customizable checklist for evaluating reliability, resiliency, and failure recovery strategies in Power Platform architecture design, enterprises may face increased risks of system failures and data loss. The lack of a structured evaluation process can lead to inconsistent implementation of best practices, resulting in reduced system performance and reliability. Additionally, recovery from failures may be slower and less effective, impacting business continuity and operational efficiency. Overall, the absence of such a checklist can compromise the robustness and dependability of the Power Platform architecture. Solution: The customizable Reliability checklist, adopted from Well-Architected Framework, helps ensure reliability, identify the best infrastructure and application design for your workload. The Architects can make decisions and tradeoffs based on business requirements that are mapped to availability and recoverability target metrics. This checklist helps make workload reliability a central consideration at every stage of the workload design, development, and operation lifecycle. Impact: A reliable workload will be resilient so that it can detect and recover from outages and malfunctions and consistently deliver functionality. It will be capable of recovering from failures within a reasonable timeframe. It will also be available so that users can consistently and reliably access the workload during the agreed timeframe and at the agreed quality level. Previous Item Next Item

Contract wins signing workflow Automation Context: In sales, closing deals efficiently is essential. However, the process of reviewing and approving contracts can be time-consuming, especially when multiple stakeholders are involved and when working in industries where high volume of contracts is generated. Solution: This Power Automate solution integrates Salesforce with Adobe Acrobat Sign. It automatically initiates a deal review and approval process for any opportunities won in the last 24 hours, ensuring contracts are signed promptly and efficiently. Impact: By automating the deal approval process, this solution reduces delays and administrative overhead. It ensures timely contract signatures, enhancing the overall efficiency of the sales cycle and improving customer satisfaction. Previous Item Next Item

AI‑Driven Turnaround & Permit Intelligence System Context Turnarounds in petrochemical and refinery operations are high‑risk, highly time‑critical events involving hundreds of interdependent tasks and safety permits. This solution uses Microsoft Copilot and AI‑First Planner Designer to create a centralized intelligence assistant that manages turnaround tasks, safety permits, dependencies, and sequencing. Challenges Supervisors currently review permits manually, assess risk in isolation, and track dependencies across complex activities. This creates blind spots in sequencing, delays in identifying incomplete or high‑risk permits, and makes it hard to maintain a real‑time view of readiness and progress—all of which increase operational and safety risk. Solution Using AI‑first design, the system generates processes, roles, data models, and workflows. A Turnaround Control Center app centralizes tasks, permits, approvals, risk ratings, and progress. The Turnaround Intelligence Agent reviews all records for completeness, highlights high‑risk and incomplete permits, evaluates dependencies, and provides optimal sequencing guidance,giving supervisors, safety coordinators, and planners real‑time, actionable insight. Previous Item Next Item

Power Automate Task Mining: Application Analytics Context: In today's digital workplace, understanding how applications are used is crucial for optimizing productivity and efficiency. Organizations often struggle to gain clear insights into application usage patterns and their impact on workflows. Solution: Power Automate Task Mining's application analytics offers a comprehensive solution by analyzing recordings to identify the top applications used, access patterns, and app usage insights. This feature helps organizations understand which apps are most frequently used, how they are accessed together, and provides detailed insights for each activity or recording. Impact: By leveraging these insights, organizations can make informed decisions to streamline processes, improve application deployment strategies, and enhance overall productivity. This leads to more efficient workflows, better resource allocation, and a deeper understanding of application usage within the organization. Previous Item Next Item

AI‑Driven Outage Readiness Intelligence Board Context The Outage Readiness Intelligence Board is an AI‑first system designed to help nuclear plants prepare for outages with precision. It evaluates readiness tasks, identifies gaps, analyzes dependencies, and produces a consolidated readiness summary,giving leaders instant visibility into overall preparedness. Challenges Outage preparation spans multiple functions,engineering, logistics, safety and IT , each with its own tasks, issues, evidence, dependencies, and risk factors. Manual tracking leads to missed deadlines, inconsistent reviews, unaddressed blockers, and difficulty validating readiness across teams. Executives lack a real‑time, traceable view of blockers, escalations, and risk trends. Solution Built using the AI‑First Planner & Designer, the system organizes all readiness data into apps, Copilot agents, flows, and dashboards. Task‑level and board‑level Copilot agents explain readiness, surface blockers, highlight dependency risks, recommend safety‑first actions, summarize reviews, and support executive decisions. Every task, issue, escalation, and dependency becomes traceable end‑to‑end,delivering a unified, intelligent, and proactive readiness management framework. Previous Item Next Item

Managing Power Platform CoE We help set up Microsoft Power Platform Center of Excellence (CoE) in your organization to help you drive innovation, while at the same time providing standards, consistency, and governance to the organization. The Microsoft Power Platform CoE will have a collection of components and tools that are designed to help you get started with developing a strategy for adopting and supporting Microsoft Power Platform while leveraging existing licenses to the maximum possible extent. Next Previous

JSON-based Adaptive Cards in Copilot Studio Context: Conversational AI interfaces often rely on plain text, which can limit user engagement and clarity—especially when presenting structured data, forms, or actionable content. As organizations build more sophisticated Copilot experiences, there's a growing need for rich, interactive UI elements that enhance usability and streamline workflows within the chat interface. Solution: Adaptive Cards in Microsoft Copilot Studio offer a flexible, JSON-based framework for embedding rich, interactive content directly into conversations. These cards can display text, images, buttons, inputs, and more—allowing makers to create dynamic, context-aware experiences. Adaptive Cards are fully customizable and can be triggered from Power Fx expressions, system messages, or user interactions. They support scenarios like form submissions, data previews, and multi-step workflows, all within the chat interface. Makers can design cards using the Adaptive Card Designer and integrate them seamlessly into Copilot Studio flows. Impact: Adaptive Cards elevate the user experience in Copilot Studio by transforming static conversations into interactive, guided journeys. They reduce friction in data collection, improve clarity in decision-making, and enable users to take action without leaving the chat. Whether it's submitting a support ticket, reviewing a report, or selecting from a list of options, Adaptive Cards make Copilots more intuitive, responsive, and enterprise-ready. Adaptive Cards are especially appreciated in products like Microsoft Teams and Outlook, because the designer of the UI can't predict whether the user is in dark or light mode, for example. In either case, no worries! The Adaptive Card just adapts! Previous Item Next Item