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

Learning for Remote-First Talent to become Full-Stack, Well-Architected, Power Platform Engineers, also known as PowerStackers PowerStackers Community Program This program is for everyone interested in AI-First Power Platform & Copilot Engineering . Ideal for complete beginners, professionals exploring low-code development, and anyone seeking career guidance in a supportive environment. Join it here PowerStackers Community Its free!!! PowerStackers Developers Program Free yet selective program with structured AI-First learning paths , hands-on projects, and mentorship for interested individuals . Includes developer licenses and environment access. The entry is dependent upon selection by and signing MOU with AccleroTech. To enter, join the PowerStackers community and then send a mail with your resume to learning@acclerotech.com PowerStackers Premium Program Paid program ($99/month) providing premium Power Platform licenses, Copilot credits and advanced AI-first solutions & certification guidance for serious job seekers ! The entry is dependent upon selection by and signing MOU with AccleroTech and payment made for the program. To enter, join the PowerStackers community and then send a mail with your resume to learning@acclerotech.com PowerStackers Program Details Learn more about PowerStackers Programs... By clicking here : All about PowerStackers Programs

Power Automate integration for Forms, Planner and Teams Context: Managing tasks, forms, and team communication separately can be inefficient and time-consuming. Organizations often struggle with fragmented workflows and lack of integration between different tools, leading to decreased productivity. Solution: Integrating Microsoft Forms, Planner, and Teams through Power Automate streamlines workflows by automating data transfer and task management. This integration ensures seamless communication and coordination, allowing users to manage tasks and forms within a unified platform. Impact: This integration significantly enhances productivity by reducing manual effort and improving collaboration. Teams can work more efficiently, with real-time updates and automated processes, leading to better project management and overall performance. Previous Item Next Item

Multi-agent orchestration in Microsoft Copilot Studio Context: As enterprise workflows grow more complex, relying on a single AI agent to manage diverse tasks becomes limiting. Traditional automation often operates in silos, lacking coordination across systems and teams. To meet the demands of modern business operations, organizations need intelligent agents that can collaborate, delegate, and reason together—mirroring how human teams work. Solution: The Multi-Agent Orchestration capability in Microsoft Copilot Studio introduces a new paradigm for enterprise AI. Announced at Microsoft Build 2025, this feature allows organizations to build interconnected agent ecosystems where agents can delegate tasks to one another and operate in sync. Agents created using Microsoft 365 Copilot, Azure AI Agents Service, and Microsoft Fabric can now collaborate to complete complex, cross-functional workflows. For example, one agent might extract CRM data, another drafts a proposal in Word, and a third schedules follow-ups in Outlook—all coordinated seamlessly. This orchestration is managed through a low-code interface, enabling makers and developers to design intelligent workflows without deep technical expertise. Impact: Multi-agent orchestration empowers businesses to scale AI across departments and systems, enhancing productivity and decision-making. It brings connectedness, intelligence, and automation to tasks like customer onboarding, incident management, and executive briefings. By enabling agents to work as a team under human oversight, organizations can achieve greater agility, reduce manual coordination, and unlock new levels of operational efficiency. Previous Item Next Item

Sustainability Insights AI Agent Context: When users are unaware of an organization’s sustainability goals and progress, it can lead to a lack of engagement and support for sustainability initiatives. This disconnect may result in missed opportunities for collaboration and innovation, and can undermine the organization’s efforts to achieve its sustainability targets. Additionally, it can negatively impact the organization’s reputation and stakeholder trust. Solution: The Sustainability AI Agent in Copilot Studio offers a solution by providing real-time updates and insights on the organization’s sustainability goals and progress. It helps users understand the impact of their actions, offers suggestions for sustainable practices, and keeps everyone informed about ongoing initiatives. This AI-driven support ensures that sustainability is a shared priority across the organization. Impact: Implementing a Sustainability AI Agent brings significant benefits to both the organization and the environment. It fosters a culture of sustainability, enhancing employee engagement and collaboration. By promoting sustainable practices, it helps the organization reduce its environmental footprint and achieve its sustainability targets. Additionally, it improves the organization’s reputation and strengthens stakeholder trust, contributing to long-term success and environmental stewardship. Previous Item Next Item

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. By integrating with platforms like Power Automate or custom scripts, users can set up workflows that automatically post tweets based on certain conditions, such as time schedules, new content updates, or user interactions. This automation streamlines social media management, ensuring timely posts without manual. Context: Manual tweeting can be time-consuming, especially for maintaining a consistent social media presence. Solution: Automation tools like Power Automate or custom scripts can trigger tweets based on conditions like schedules or updates, eliminating the need for manual posting. Impact: Efficiency : Saves time by automating posts. Consistency : Ensures timely and regular tweeting. Engagement : Keeps a constant presence on Twitter. Scalability : Streamlines social media management. Previous Item Next Item

TrainingMate – Smart Training Management with Microsoft Copilot Studio Context Managing employee training is often manual and inefficient. Employees waste time searching for courses, forget to enroll, miss deadlines, or lose track of expiring certifications,leading to compliance risks and skill gaps. Solution TrainingMate is an intelligent Copilot Agent built with Microsoft Copilot Studio , Power Automate , SharePoint , and Dataverse . It automates the entire training lifecycle through a conversational interface, making learning simple and proactive. Core Features: Search courses instantly from SharePoint lists. Enroll in training and log details securely in Dataverse. Track completions to monitor progress. View expiring certifications and get timely reminders for renewals. Impact TrainingMate eliminates manual tracking and delays, ensuring employees stay compliant and upskilled. It saves time, improves engagement, and keeps certifications current—all on Microsoft’s secure, low-code platform. Previous Item Next Item

Text recognition from Image Context : Manually extracting text from images and importing the data into legacy systems can be time-consuming and prone to errors, especially when handling large volumes of documents or images. Solution : Using AI Builder in Power Automate, the automation detects text from newly created image files, extracts the relevant data, and automatically imports it into a legacy system. This process is triggered whenever a new file is created. Impact: Efficiency: Speeds up data extraction and entry, reducing manual work. Accuracy: Improves text recognition accuracy, minimizing human errors. Cost Savings: Reduces the time and labor involved in manual data entry. Scalability: Handles large volumes of images and data seamlessly without additional resources. Previous Item Next Item

Berth & Terminal Slot Optimizer: AI‑Driven Scheduling Clarity Context Terminals handle continuous vessel movements, tight timelines, and shifting slot demands. Planning teams need a faster way to spot conflicts and keep schedules flowing smoothly. Following the same AI‑first design philosophy used across sectors—where intelligence is embedded directly into operations rather than added through custom code—the Berth & Terminal Slot Optimizer brings structured planning, real‑time analysis, and clear role alignment using Microsoft Plan Designer. It continuously evaluates schedules, detects issues early, and provides planners with a unified, data‑driven view of berth and slot activity. Challenges Traditional slot and berth planning depends heavily on manual review of complex timelines. Overlaps, delays, and congestion points can be missed until they cascade into operational bottlenecks. Planners and supervisors often work from fragmented information without a single model to manage roles, responsibilities, or historical congestion patterns. This prevents timely decisions and hinders continuous improvement,problems similar to those seen in many operational environments where AI has proven valuable for pattern detection and proactive guidance. Solution The Berth & Terminal Slot Optimizer standardizes planning workflows and applies AI to continuously scan schedules, flag conflicts, and recommend optimized slot arrangements with clear explanations. A timeline visualizer offers instant clarity on vessel events and slot usage, while a Copilot agent answers operational questions, checks status, and suggests adjustments grounded in live reference data. Automated notifications, approvals, rescheduling tasks, and continuous learning help teams maintain efficiency, reduce congestion, and improve planning confidence, demonstrating the same AI‑enabled uplift highlighted across the broader AI themes framework. Previous Item Next Item

Automating Voice Calls Using Azure Communication Services Context: Manual phone calls for customer support, reminders, or notifications are time-consuming and prone to errors. Automating these calls streamlines communication and improves efficiency. Solution: Leverage Azure Communication Services (ACS) to programmatically initiate voice calls via APIs. Integrate with Power Platform using Power Automate to trigger calls based on specific events, such as overdue payments or appointment reminders. Employ pre-recorded messages or dynamically generated responses with Azure Text-to-Speech for personalized communication. Monitor call status in real-time and log outcomes in a connected system like Dataverse or Power BI for comprehensive tracking and analysis. Impact: This solution enhances efficiency by reducing the time and effort required for manual calls. It supports scalability, handling large volumes of calls without additional resources. Consistency is ensured through standardized and error-free messages, while customer engagement is improved with timely and automated communications. Additionally, it optimizes communication processes, leading to significant cost savings. Previous Item Next Item

Low code plugins in Dataverse Context: Traditionally, plug-ins were created as custom classes compiled into a .NET Framework assembly, which were then uploaded and registered within Dataverse. However, with the introduction of low-code plug-ins, users can create these event handlers with minimal or no coding required, and without the need for manual registration Solution: Low-code plug-ins are stored within a Dataverse database and can be seamlessly integrated into Power Apps and Power Automate. The behavior of the workflow is defined using the Power Fx expression language and can directly connect with Dataverse business data and external data sources through Power Platform connectors. With low-code plug-ins, makers can rapidly construct complex workflows with minimal coding expertise, resulting in a more streamlined and efficient data architecture Impact: Server-side logic enhances security by preventing unauthorized access to sensitive data and processes. It improves performance by reducing data transfer between client and server, ensuring faster processing times. Consistency and reliability are achieved as business rules are uniformly applied across all clients, minimizing errors. Additionally, it simplifies maintenance and upgrades, and offers better scalability to handle larger workloads efficiently. Previous Item Next Item