Almanac

Agentic AI Business Solutions Architect

AB-100advanced11 uncoveredMicrosoft CopilotPower AppsPower AutomateMicrosoft Dataverse
125–30%Plan AI-powered business solutions — 25–30% · 3 covered, 4 doc only, 13 uncovered225–30%Design AI-powered business solutions — 25–30% · 13 covered, 1 doc only, 16 uncovered340–45%Deploy AI-powered business solutions — 40–45% · 8 covered, 5 doc only, 11 uncovered
module + docdoc onlynothingcircle size = share of the exam

Where the marks are

Skills measured as of 14 October 2026 · re-read nightly
Plan AI-powered business solutions20 objectives · 12h 7m
Design AI-powered business solutions30 objectives · 15h 45m
Deploy AI-powered business solutions24 objectives · 11h 11m
Stage 1

Plan AI-powered business solutions

25–30% · 12h 7m

Analyze requirements for AI-powered business solutions

Assess the use of agents in task automation, data analytics, and decision-making
Weak matchDoc only
Review data for grounding, including accuracy, relevance, timeliness, cleanliness, and availability
Weak matchDoc only
Organize business solution data to be available for other AI systems
Weak matchNo module

Design overall AI strategy for business solutions

Implement the AI adoption process from the Cloud Adoption Framework for Azure
No module
Design the strategy for building AI and agents in business solutions
Covered
Design a multi-agent solution by using platforms such as Microsoft 365 Copilot, Copilot Studio, and Microsoft Foundry
No module
Develop the use cases for prebuilt agents in the solution
Weak matchDoc only
Define the solution rules and constraints when building AI components with Copilot Studio, Microsoft Foundry and Microsoft Foundry Tools
Weak matchNo module
Determine the use of generative AI and knowledge sources in agents built with Copilot Studio
Covered
Determine when to build custom agents or extend Microsoft 365 Copilot
Covered
Determine when custom AI models should be created
No module
Provide guidelines for creating a prompt library
Weak matchDoc only
Develop the use cases for customized small language models for the solution
No module
Provide prompt engineering guidelines and techniques for AI-powered business solutions
Weak matchNo module
Include the elements of the Microsoft AI Center of Excellence
No module
Design AI solutions that use multiple Dynamics 365 apps
No module

Evaluate the costs and benefits of an AI-powered business solution

Select ROI criteria for AI-powered business solutions, including the total cost of ownership
Weak matchNo module
Create an ROI analysis for the proposed AI solution for a business process
Weak matchNo module
Analyze whether to build, buy, or extend AI components for business solutions
No module
Implement a model router to intelligently route requests to the most suitable model
No module
Stage 2

Design AI-powered business solutions

25–30% · 15h 45m

Design AI and agents for business solutions

Design business terms for Copilot in Dynamics 365 apps for customer experience and service
No module
Design customizations of Copilot in Dynamics 365 apps for customer experience and service
Covered
Design connectors for Copilot in Dynamics 365 Sales
No module
Design agents for integration with Dynamics 365 Contact Center channels
No module
Design prompt and response agents
Weak matchNo module
Propose Microsoft Foundry Tools for a given requirement
No module
Propose code-first generative pages and the use of an agent feed for apps
Doc only
Design data processing for AI models and grounding
Weak matchNo module
Design a business process to include AI components in a Power Apps canvas app
Covered
Apply the Microsoft Power Platform Well-Architected Framework to intelligent application workloads
Weak matchNo module
Determine when to use standard natural language processing, conversational language understanding, or generative AI orchestration in Copilot Studio
No module
Design prompt actions in Copilot Studio
Weak matchNo module

Design extensibility of AI solutions

Design AI solutions by using custom models in Microsoft Foundry
Weak matchCovered
Design agent extensibility in Copilot Studio
Covered
Design agent extensibility with Model Context Protocol in Copilot Studio
Weak matchNo module
Design agents to automate tasks in apps and websites by using Computer Use in Copilot Studio
Covered
Design agent behaviors in Copilot Studio, including reasoning and voice mode
Weak matchCovered
Optimize solution design by using agents in Microsoft 365, including Teams and SharePoint
Weak matchNo module

Orchestrate configuration for prebuilt agents and apps

Orchestrate AI features in Dynamics 365 apps for finance and supply chain
No module
Orchestrate AI features in Dynamics 365 apps for customer experience and service
No module
Propose Microsoft 365 agents for business scenarios
No module
Orchestrate the configuration of Microsoft 365 Copilot for Sales and Microsoft 365 Copilot for Service
Covered
Design interoperability of the finance and operations agent chats to use additional knowledge sources
Weak matchNo module
Recommend the process of adding knowledge sources to in-app help and guidance for Dynamics 365 Finance or Dynamics 365 Supply Chain Management apps
No module
Stage 3

Deploy AI-powered business solutions

40–45% · 11h 11m

Analyze, monitor, and tune AI-powered business solutions

Recommend the process and tools required for monitoring agents
No module
Analyze backlog and user feedback of AI and agent usage
No module
Apply AI-based tools to analyze and identify issues and perform tuning
No module
Interpret telemetry data for performance and model tuning
Weak matchDoc only

Manage the testing of AI-powered business solutions

Recommend the process and metrics to test agents
Weak matchDoc only
Create validation criteria of custom AI models
Weak matchDoc only
Validate effective Copilot prompt best practices
Weak matchCovered
Design end-to-end test scenarios of AI solutions that use multiple Dynamics 365 apps
Weak matchNo module
Build the strategy for creating test cases by using Copilot
Weak matchCovered

Design the ALM process for AI-powered business solutions

Design the ALM process for data used in AI models and agents
Weak matchNo module
Design the ALM process for Copilot Studio agents, connectors, and actions
Covered
Design the ALM process for Microsoft Foundry Agents Service
Weak matchNo module
Design the ALM process for custom AI models
Weak matchCovered
Design the ALM process for AI in Dynamics 365 apps for finance and supply chain
No module
Design the ALM process for AI in Dynamics 365 apps for customer experience and service
No module

Design responsible AI, security, governance, risk management, and compliance

Analyze solution and AI vulnerabilities and mitigations, including prompt manipulation
Weak matchDoc only
Review solution for adherence to responsible AI principles
No module
Validate data residency and movement compliance
Doc only
Design access controls on grounding data and model tuning
No module
Design audit trails for changes to models and data
No module