Architecting agentic AI business solutions AB-100T00

• Analyze business requirements for AI-powered business solutions.
• Design AI agents and multi-agent solutions.
• Develop an overall AI strategy for business solutions.
• Evaluate costs, benefits, and ROI of AI solutions.
• Design extensible AI solutions using Microsoft platforms.
• Orchestrate prebuilt AI agents and applications.
• Monitor, analyze, and tune AI agents.
• Design testing and ALM processes for AI-powered solutions.
• Apply security, governance, risk management, and responsible AI principles.

Module 1: Introduction to agentic AI business solutions

• Drive AI transformation with architect strategies
• Explore Microsoft AI technologies for business
• Identify Microsoft AI technologies for business solutions
• Identify out-of-box Microsoft AI agent resources for business solutions
• Identify out-of-box Microsoft AI agents for business

Module 2: Analyze requirements for AI-powered business solutions

• Assess the use of agents in task automation, data analytics, and decision-making
• Review data for grounding accuracy, relevance, timeliness, cleanliness, and availability
• Organize business solution data for AI systems

Module 3: Design overall AI strategy for business solutions

• Implement AI adoption process with Azure
• Design AI agents for business solutions
• Design a multi-agent solution
• Develop use cases for prebuilt Microsoft 365 Copilot agents
• Define solution rules and constraints for AI components
• Determine generative AI knowledge sources for agents built in Copilot Studio
• Determine when to build custom agents or extend Microsoft 365 Copilot
• Determine when custom AI models should be created
• Provide guidelines for creating a prompt library
• Develop use cases for customized small language models
• Provide prompt engineering guidelines and techniques
• Identify key business user roles for AI workloads
• Evaluate regional and local AI data regulation compliance requirements
• Include elements in a Microsoft AI Center of Excellence
• Design AI solutions using multiple Dynamics 365 apps
• Design user prompt training for AI solution adoption

Module 4: Evaluate costs and benefits of AI solutions

• Evaluate ROI criteria for AI-powered solutions
• Create ROI analysis for a proposed AI solution
• Analyze whether to build, buy, or extend AI components
• Implement a model router to intelligently route requests to the most suitable model

Module 5: Design AI agents for business solutions

• Define core tenets of responsible AI guidelines for AI business solutions
• Design business terms for Copilot in Dynamics 365 Customer Service
• Design customizations for Copilot in Dynamics 365 apps
• Design connectors for Copilot in Dynamics 365 Sales
• Design AI agents for Dynamics 365 Contact Center
• Design task agents in Microsoft Copilot Studio
• Design autonomous agents in Copilot Studio
• Design prompt-driven agents using Copilot Studio
• Propose Foundry tools given a requirement
• Propose code-first generative pages and agent feed applications
• Design topics for Copilot Studio, including fallback
• Design data processing workflows for grounded AI
• Design business processes with AI in Power Apps canvas apps
• Apply the Microsoft Power Platform Well-Architected Framework to intelligent application workloads
• Determine the use of standard natural language processing
• Design agents and agent flows with Copilot Studio
• Design prompt actions in Copilot Studio
• Define success criteria and adoption goals for AI business solutions

Module 6: Design extensibility of AI solutions

• Design AI solutions with custom models in Microsoft Foundry
• Design agents in Microsoft 365 Copilot
• Design extensible agents in Microsoft Copilot Studio
• Design extensible agents using MCP in Copilot Studio
• Design agents to automate tasks in apps and websites with Computer Use in Copilot Studio
• Design agent behaviors in Copilot Studio
• Optimize solution design for agents in Microsoft 365

Module 7: Orchestrate configuration of prebuilt agents and apps

• Design AI solutions for Dynamics 365 Customer Service
• Propose Microsoft 365 agents for business scenarios
• Orchestrate and configure Microsoft 365 Copilot for sales and service
• Propose Microsoft Power Platform AI features
• Design interoperable agent experiences for Finance and Operations
• Recommend process knowledge sources for in-app help in Dynamics 365
• Orchestrate AI features in Dynamics 365 Finance and Supply Chain

Module 8: Monitor, analyze, and tune AI agents

• Recommend process tools for monitoring agents
• Analyze backlog and user feedback for AI agent usage
• Apply AI-based tools to analyze, identify issues, and perform tuning
• Monitor AI agent performance metrics
• Interpret telemetry data to tune AI performance

Module 9: Manage testing AI-powered business solutions

• Recommend process metrics for testing AI agents
• Create validation criteria for custom AI models
• Validate effective Copilot prompt best practices
• Design end-to-end test scenarios for AI solutions using multiple Dynamics 365 apps
• Build a strategy for creating test cases using Copilot

Module 10: Design ALM process for AI-powered business solutions

• Design an ALM process for data used in AI models and agents
• Design an ALM process for Copilot Studio agents, connectors, and actions
• Design ALM processes for Microsoft Foundry agents
• Design an ALM process for custom AI models
• Design an ALM process for AI in Dynamics 365 Finance and Supply Chain
• Design ALM processes for AI in Dynamics 365 apps

Module 11: Design responsible AI security, governance, risk management, and compliance

• Design security agents for Microsoft clouds
• Design governance models for AI agents
• Design model security for responsible AI
• Analyze AI vulnerabilities and mitigations for prompt manipulation
• Review solution adherence to Responsible AI principles
• Validate data residency and movement compliance
• Design access controls for grounding data and model tuning
• Design audit trails for changes to models and data

3 Days

Certification: Microsoft Certified: Agentic AI Business Solutions Architect

Exam: AB-100: Agentic AI Business Solutions Architect

Duration: 120 minutes exam time for the role-based exam format when labs may be included; Microsoft provides 140 minutes of seat time for this exam type.

• Designing agentic AI business solutions
• Working with Copilot Studio
• Exploring multi-agent orchestration
• Working with Microsoft AI and Foundry technologies
• Applying governance and security considerations
• Monitoring agent performance
• Evaluating AI solution costs and ROI

• Solution Architects and Enterprise Architects designing intelligent and agent-based business solutions.
• Senior Functional and Technical Consultants working with Dynamics 365, Microsoft 365, Power Platform, or Azure AI services.
• AI and Digital Transformation Leads defining AI strategy, governance, and adoption.
• Application Architects and Technical Leads integrating agents, copilots, and generative AI into enterprise workloads.
• Experienced practitioners seeking architectural depth for agentic AI solutions.

• Familiarity with Microsoft business applications.
• Knowledge of cloud concepts.
• Knowledge of solution architecture fundamentals.
• Experience planning, designing, or guiding AI-powered business solutions using Microsoft platforms.