Plan AI-powered business solutions
Analyse requirements for AI-powered solutions
- Assess the use of agents for task automation, analytics and decision support
- Evaluate data readiness for grounding, including accuracy, relevance and availability
- Organise enterprise data for interoperability with AI systems
Design an AI strategy for business solutions
- Apply the Cloud Adoption Framework for Azure to AI adoption
- Define an agentic-first architecture strategy
- Design multi-agent solutions using Microsoft 365 Copilot, Copilot Studio and Microsoft Foundry
- Identify use cases for prebuilt agents and determine when to extend or build custom agents
- Define rules, constraints and knowledge sources for AI components
- Develop prompt libraries and prompt engineering standards
- Identify use cases for custom and small language models
- Incorporate AI Centre of Excellence principles
- Design cross-application AI solutions across Dynamics 365 workloads
Evaluate cost, value and architectural choices
- Define return on investment criteria and total cost of ownership
- Conduct ROI analysis for AI-powered business processes
- Determine when to build, buy or extend AI capabilities
- Implement intelligent model routing strategies
Design AI-powered business solutions
Design AI and agents for business applications
- Architect Copilot experiences in Dynamics 365 for customer experience and service
- Design custom Copilot integrations and connectors
- Design task agents, autonomous agents and prompt-driven agents
- Design topics, actions and fallback strategies in Copilot Studio
- Propose appropriate Foundry tools and generative capabilities
- Integrate AI into Power Apps canvas applications
- Apply the Power Platform Well-Architected Framework to intelligent workloads
- Select between natural language processing, conversational language understanding and generative orchestration
- Design agent flows and behaviours, including reasoning and voice capabilities
Design extensible AI solutions
- Design custom AI models in Microsoft Foundry
- Extend Microsoft 365 Copilot and Copilot Studio using Model Context Protocol
- Design automation scenarios using Computer Use capabilities
- Optimise solution design using Microsoft 365 collaboration tools such as Teams and SharePoint
Orchestrate prebuilt agents and applications
- Configure AI features across Dynamics 365 finance, supply chain, customer experience and service
- Orchestrate Microsoft 365 Copilot for Sales and Service
- Propose AI features in Power Platform, including AI hub
- Integrate additional knowledge sources into finance and operations agent experiences
Deploy AI-powered business solutions
Monitor, analyse and optimise AI solutions
- Design monitoring strategies for agents and AI components
- Analyse telemetry data and user feedback
- Identify performance issues and apply tuning strategies
- Optimise agent reliability and behaviour through data-driven insights
Manage testing of AI-powered solutions
- Define validation criteria for custom AI models
- Validate prompt effectiveness and best practice alignment
- Design end-to-end test scenarios across multiple Dynamics 365 workloads
- Develop AI-assisted test case strategies
Design application lifecycle management for AI
- Define ALM processes for AI models, agents and data
- Manage lifecycle processes for Copilot Studio agents and connectors
- Design ALM for AI in Dynamics 365 finance, supply chain, customer experience and service
Design security, governance and responsible AI
- Architect secure agent and model environments
- Design governance frameworks for AI solutions
- Mitigate vulnerabilities, including prompt manipulation
- Ensure data residency, access controls and audit trail compliance
- Align solutions to Microsoft responsible AI principles
Certification
This course prepares delegates for the Microsoft certification exam:
AB-100: Architecting agentic AI business solutions
Skills measured in the exam include:
- Plan AI-powered business solutions (25–30%)
- Design AI-powered business solutions (25–30%)
- Deploy AI-powered business solutions (40–45%)
Business benefits
Organisations that develop AB-100 certified architects can:
- Accelerate AI adoption with structured architectural strategies
- Reduce risk through secure and governed AI implementations
- Improve return on investment from AI initiatives
- Enable scalable, cross-platform AI integration
- Lead enterprise-wide AI transformation with confidence
