Hydrogen Hub Optimization & Allocation Copilot Context Hydrogen hubs must balance varying producer capacities with dynamic consumer demand, but manual allocation and simple internal models slow decisions and often lead to inefficiencies. As inputs change frequently and data remains scattered, maintaining a stable and transparent dispatch process becomes challenging. The Hydrogen Dispatch Balancer applies an AI‑first architecture built with Microsoft Planner Designer , converting planning requirements into structured processes and data models. Copilot evaluates capacity, demand, and scenarios to generate optimized, grounded dispatch recommendations. Challenges Hydrogen dispatching is hindered by inconsistent producer and consumer inputs, making allocation decisions unreliable. Manual calculations increase the risk of unmet demand, over‑allocation, or idle capacity. Teams lack clarity on why decisions are made, and early‑stage hubs relying on simplified logic face even greater inefficiencies. Maintaining traceability and audit‑ready reasoning across dispatch cycles is also difficult. Solution Microsoft Planner Designer defines hub roles, workflows, and data structures, creating a strong foundation for AI‑driven optimization . Copilot analyzes all capacity and demand inputs, compares scenarios, and produces clear, explainable dispatch plans. The Dispatch Planner Copilot supports plan creation and decision explanation, while the Dispatch Task Manager enables review, approval, and execution with integrated BI views, exports, and alerts. Automated workflows ensure continuous monitoring and improvement,resulting in faster, more transparent, and highly efficient hydrogen dispatch. Previous Item Next Item

Reinventing Utility Billing with a Clean‑Core, Sidecar Architecture Context A major phase of modernization involves transitioning from SAP IS‑U to a more flexible, modern utility billing platform. Field operations have already been modernized using a clean‑core, sidecar strategy, and the same approach is now being applied to utility billing. The objective is to upgrade billing capabilities without modifying or disrupting the SAP ECC finance module. Challenges SAP IS‑U is powerful but tightly coupled to the core ERP, making enhancements costly and risky. Modern billing needs,such as flexible tariffs, new rate structures, customer self-service, and faster billing cycles are difficult to achieve inside the legacy system. Field technicians also require a simple way to capture meter readings and outage events that directly influence billing. Migrating customer contracts, tariffs, and meter data must be done carefully, with parallel validation to avoid billing discrepancies. At the same time, end users expect a modern digital experience for viewing bills, raising queries, and managing preferences. Solution The Utility Billing Hub is implemented on Microsoft Dynamics 365 as a clean‑core, sidecar billing platform. Lightweight field apps allow technicians to record meter readings, log outages, and capture service details, all of which feed the billing engine. AI‑assisted calculations handle billing based on updated readings and rate structures. Utility account management, tariff configurations, billing runs, and customer queries are managed through Dataverse-backed applications. A customer-facing web page enables bill viewing, profile management, payment preferences, and service queries. To ensure safe transition, SAP IS‑U and the new billing system run in parallel , comparing billing cycles until complete validation is achieved. Once aligned, the legacy billing module can be decommissioned, reducing operational cost, infrastructure load, and overall complexity while enabling faster, more agile billing Previous Item Next Item

AI-First Solutions for Accelerating Productivity delivered by Remote-First Talent In 2024, McKinsey & Company came out with an insightful report on the three-sided Productivity Opportunity. They are 1. Operate with Excellence 2. Optimize Capital Leverage 3. Accelerate Growth At Acclero Technologies, we help our Customers make most of Productivity Opportunity across all three dimensions. Here is how... 1. Microsoft Power Platform: We help our Customers "Operate with Excellence" by upskilling the talent of Citizen Developers within their Business Divisions, with the help of our Code-First Power Platform Engineers and Power Platform COE Service. And, to make matters easier - this technology is already embedded and available to every organization that uses Microsoft Teams, Outlook and Office 365 Suite! 2. Remote-First Engineers: Our 'Work from Anywhere' policy not only helps balance the costs of talent but also make most of the available Microsoft 365 licenses, thus saving on software and infrastructure cost. Our economical offerings help our Customers to "Optimize Capital Leverage". 3. AI-First Solutions: 65%+ of Companies that invested in AI last year are reporting significant Revenue growth due to the innovative solutions. All our solutions are designed AI-First, which means we consult our Customers on the use of AI Builder, Copilot Studio for Conversational AI and Power Automate for Automations with 1000+ built-in Connectors. Our Customers "Accelerate Growth" with innovative offerings that streamline operations and provide enhanced end user experience! If you wish to join us please send your resume at careers@acclerotech.com About Us Acclerating Productivity Frequently asked questions General Setting up FAQs What is an FAQ section? An FAQ section can be used to quickly answer common questions about your business like "Where do you ship to?", "What are your opening hours?", or "How can I book a service?". Why do FAQs matter? FAQs are a great way to help site visitors find quick answers to common questions about your business and create a better navigation experience. Where can I add my FAQs? FAQs can be added to any page on your site or to your Wix mobile app, giving access to members on the go.

Automated SharePoint Library Management and Workflow Integration Context : This Power Automate flow is designed to automate the management of SharePoint lists and libraries, integrating various tasks into a cohesive, streamlined process. It triggers upon receiving an HTTP request and processes data from SharePoint to automate workflows. Solutions : Data Retrieval: Automates the extraction of lists and libraries from SharePoint. Data Filtering: Refines the data based on specific conditions for further use. Modular Workflow: Chained flows allow for reusability and efficient handling of tasks. Dynamic URL and GUID Manipulation: Customizes URLs and library identifiers to fit specific needs. Impact : Increased Efficiency: Reduces manual intervention by automating complex processes. Improved Workflow Management: Ensures consistent execution of tasks across multiple libraries. Scalability: The use of nested flows allows for easy scaling as additional libraries or steps are added. Previous Item Next Item

AI‑Driven Renewable Work Priority Evaluator Context Renewable energy sites never run out of maintenance work only time, access, and resources. Supervisors must decide daily which jobs protect uptime and production. The Renewable Work Priority Evaluator brings structure by assessing tasks using a small set of high‑impact parameters and uses Copilot to rank the day’s work with clear, plain‑language reasoning. Challenges Without a transparent, data‑driven approach, high‑value tasks get delayed while low‑impact tasks consume attention. Site supervisors and operations coordinators struggle to balance safety, urgency, and production impact. Manual prioritization is slow, subjective, and inconsistent, especially when multiple sites, assets, and maintenance lists grow daily. Solution Using Planner and AI‑First design, the system auto‑generates user requirements, processes, scoring logic, and data tables. It evaluates worklists, applies priority scoring, ranks tasks, and explains why certain jobs matter more right now. Canvas apps, automation flows, and a Priority Reasoning Assistant support supervisors with instant rankings, transparent logic, and insight boards to track completion and performance. Previous Item Next Item

Using DAX Studio for optimizing inefficient DAX (Data Analysis Expressions) in Power BI Reports Context: Complex DAX calculations are the backbone of powerful Power BI reports, but inefficient DAX can severely impact performance. Many clients face challenges in optimizing their DAX queries, leading to slow report refreshes and sluggish data interactions. Understanding and refining DAX is essential for ensuring reports deliver timely and accurate insights. We recognize the need for precise DAX optimization. Solution: We employ DAX Studio, a powerful third-party tool, to delve deep into the performance of your DAX queries. DAX Studio provides detailed execution plans and performance metrics, allowing us to identify bottlenecks and optimize query efficiency. We analyze query patterns, refine calculated measures, and implement best practices for data modeling. This targeted approach ensures that your DAX queries are lean, efficient, and deliver optimal performance, even with complex calculations and large datasets. Impact: Leveraging DAX Studio results in dramatically improved DAX performance, leading to faster report refreshes and quicker data interactions. Clients benefit from significantly reduced query execution times, enhanced report responsiveness, and improved overall efficiency. This enables them to work with larger datasets and more complex calculations without compromising performance, driving greater insights and informed decisions. Previous Item Next Item

Self-Help Customer Service AI Agent Context: When customer service representatives don’t have a self-help AI agent, they can become overwhelmed with routine inquiries, leading to longer response times and increased stress. This can result in decreased efficiency and job satisfaction, as well as a higher likelihood of errors. Additionally, customers may experience frustration due to delayed support, negatively impacting their overall satisfaction. Solution: The Self-Help AI Agent assists service agents with case details. You act as the customer service representative responding to customers. Cases are referred to as incidents, tickets, or complaints. Recommendations are strictly be based on internal knowledge. When asked to draft response, it gets Case Details, prepares empathic and professional response based on suggested next steps as email body. Impact: Implementing a Self-Help AI Agent brings significant benefits for both customer service employees and end customers. For employees, it reduces the workload of handling repetitive tasks, allowing them to focus on more meaningful interactions and improving job satisfaction. For customers, it provides faster and more convenient support, enhancing their overall experience and satisfaction. This leads to a more efficient and effective customer service operation. Previous Item Next Item

Approval automation for Dynamics 365 Business Central (BC) Context: Businesses in Dynamics 365 Business Central need structured approval processes for transactions like purchase orders and invoices to ensure compliance and oversight, but manual approval management can be inefficient. Solution: The Request Approval feature automates approval workflows by routing transactions to designated approvers based on predefined rules. Approvers are notified and can review and approve or reject transactions within the system. Impact: Efficiency : Speeds up approval cycles and reduces manual work. Accuracy : Minimizes errors and unauthorized transactions. Compliance : Provides an audit trail for transparency. Cost Savings : Reduces administrative overhead. Transparency : Enhances visibility into the approval process. Previous Item Next Item

Store Operations AI Agent Context: Retail frontline workers juggle numerous tasks daily, often requiring quick access to policies or procedures which can be buried in thick manuals or lost in company emails. This can lead to inefficiencies, errors, and a dip in customer service quality. Solution: The Store Operations Agent is designed to streamline various aspects of store management. It offers instant access to policies, allowing employees to quickly get answers on topics like returns and discounts. With step-by-step procedural guidance, it helps staff handle scenarios from opening the store to managing inventory efficiently. The agent ensures compliance by providing the latest policy updates and features a user-friendly interface, making it accessible even during the busiest retail hours. Impact: The Store Operations Agent enhances efficiency by reducing the time workers spend searching for information, allowing them to focus more on customer interaction and service. It ensures consistency in service by standardizing procedures, leading to uniform operations. Quick access to information empowers employees, boosting their confidence and job satisfaction. Additionally, it reduces training time for new hires, helping them integrate faster. Overall, the agent simplifies retail operations, making every employee more effective and enhancing both store performance and customer experience. Previous Item Next Item

X (Twitter)-Microsoft Teams Integration for the hashtags Context: Keeping track of relevant conversations on social media related to specific topics or events can be challenging and time-consuming for teams. Solution: By setting up a trigger in Power Automate that listens for X posts containing designated hashtags, this solution automatically sends notifications to a Microsoft Teams channel, keeping teams informed in real time. Impact: It enhances team coordination, speeds up response times to trending topics or events, and ensures that no critical conversation is missed, fostering a more dynamic and responsive team environment. Previous Item Next Item

Assured Maintenance Prioritization for Nuclear Operation Context Nuclear facilities rely on equipment that must operate with absolute reliability. With hundreds of components carrying different safety roles and risk levels, maintenance teams must determine which items require attention first , not just what needs maintenance. Manual sorting across logs, classifications, and safety indicators slows decisions and increases inconsistency. Maintenance Priority Intelligence uses an AI‑first framework in Microsoft Planner Designer to centralize equipment attributes, evaluate risk‑based priorities, and deliver clear explanations through Copilot. Challenges Maintenance teams manage large equipment inventories with varying safety classifications and reliability measures. Comparing these manually leads to inconsistent rankings and time‑consuming reviews. Supervisors need transparent justification for audits, while repeated deferrals and priority shifts are difficult to track without automation. Solution The Maintenance Priority Intelligence Copilot evaluates equipment using weighted logic—consequence of failure, reliability importance, and safety classification—to produce a ranked maintenance list with clear reasoning. A model‑driven app supports leads and supervisors with real‑time visibility into priority status and trend monitoring. Automated workflows flag repeated deferrals and maintain audit‑ready history, ensuring fast, transparent, and defensible maintenance decisions. Previous Item Next Item

Well-Architected Experience Optimization Checklist and Tradeoffs Context: Without a customizable checklist for experience optimization, enterprises may struggle to create meaningful and effective user experiences. This can lead to inconsistent user satisfaction and engagement, as well as missed opportunities for improvement. The lack of standardized guidelines can result in fragmented efforts and subpar user interactions. Ultimately, the absence of such a checklist can hinder the organization's ability to deliver high-quality, user-centric solutions. Solution: The customizable Experience Optimization checklist, adopted from Well-Architected Framework, helps the enterprise understand the needs, experiences, expected outcomes, and desires of the users, and tailor the design of the workload to the users' specific requirements. It helps in maintaining consistency in design and functionality across different platforms and devices. Impact: The optimized user experience ensures interfaces that adapt seamlessly to different screen sizes, resolutions, and input methods, providing users with a consistent experience regardless of the device they use. This provides intuitive and consistent interfaces that follow relevant design conventions and standards. It also helps optimize interaction design to reduce the time and effort required for users to perform common actions, such as filling out forms or making selections. Previous Item Next Item