0.2 Audience Profile and the July 22, 2026 Blueprint

0.2 Audience Profile and the July 22, 2026 Blueprint

Quick Answer: Microsoft wrote AB-731 for business decision-makers who can recognize AI transformation opportunities, pick tools, plan adoption, optimize processes, and drive innovation with Microsoft 365 Copilot and Foundry Tools—without writing code. The blueprint in force is Skills measured as of July 22, 2026, with three skill areas weighted 35–40%, 35–40%, and 20–25%.

Who Microsoft says this exam is for

Microsoft's audience profile is the job description the exam is built to sample. Read it as a leader's brief, not as a developer's syllabus.

As a candidate, you should understand how to:

• Recognize opportunities for AI transformation
• Identify the right AI tools and resources
• Plan for AI adoption
• Optimize business processes
• Drive innovation by using Microsoft 365 Copilot and Foundry Tools

Microsoft designed the certification for business decision-makers at all levels who guide transformation and innovation in their teams or organizations. In that role you are expected to show AI fluency, strategic vision, and the ability to lead AI adoption across teams and functions. You are not expected to write any code.

Microsoft also expects you to evaluate AI opportunities, champion responsible AI practices, and map AI investments to business goals. You need experience leading adoption or change management in a business context. You must be familiar with Microsoft 365 services, Microsoft Foundry, and general AI capabilities.

Those sentences explain a pattern you will see in scenario items. A brilliant prompt engineer who has never run a change program can still struggle. A vice president of operations who has rolled out a new customer-relationship system can transfer a lot of judgment. The exam is testing whether you can choose, fund, govern, and adopt—not whether you can call an application programming interface (API).

What "familiar" actually means on a leader exam

You do not need to provision a Foundry project yourself. You do need to know what Microsoft 365 Copilot, Microsoft Copilot, Microsoft Copilot Studio, Microsoft Graph, Researcher, Analyst, Microsoft Foundry, Foundry Tools, Azure Vision in Foundry Tools, and Azure AI Search are for, so you can map a process to the right product. You do need to know that generative AI has token costs and return-on-investment (ROI) questions, that models can fabricate, and that Microsoft publishes responsible AI principles. Security, legal, finance, and human resources (HR) leaders are in the intended audience if they own those decisions.

AB-731 versus AB-730

Microsoft offers a second Beginner AI credential that people mix up with this one. Exam AB-730 earns Microsoft Certified: AI Business Professional. Microsoft's AB-730 profile describes someone who uses generative AI productivity tools—including Microsoft 365 Copilot and agents such as Researcher and Analyst—to improve daily work and make informed decisions without building AI apps or writing code. That person should be comfortable in Outlook, Word, Microsoft Teams, PowerPoint, and Excel, and should know prompts, agents, notebooks, and pages.

Neither exam is a consolation prize. An operations vice president who will rarely click Researcher still needs AB-731-style judgment about licenses, Foundry, and an AI council. An analyst who will never sit on that council still needs AB-730-style craft in Copilot. Taking both is reasonable if your role spans strategy and daily production. Substituting one for the other is a mismatch: AB-730 will not ask you to choose Foundry commitment tiers, and AB-731 will not live in the ribbon of Excel.

Skills measured as of July 22, 2026

Microsoft publishes three skill areas (the scored groups on your report) and six functional groups (the bold headings under those areas). The bullets under each group illustrate how the skill is assessed; related topics may still appear.

Skill area 1 — Identify the business value of generative AI solutions (35–40%)

This is one of the two large areas. It is product-agnostic enough to include tokens, ROI, fabrications, prompt engineering, grounding, retrieval-augmented generation (RAG), data quality, secure AI, and the machine-learning lifecycle.

Functional group: Identify the foundational concepts of generative AI

• Describe the differences between generative AI and other types of AI
• Select a generative AI solution to meet a business need
• Describe the differences between AI models, including fine-tuned and pretrained models
• Explain the cost drivers in generative AI usage, including tokens and ROI considerations
• Identify the challenges of using generative AI solutions, including fabrications, reliability, and bias
• Identify when generative AI solutions can provide business value, including scalability and automation

Functional group: Identify benefits and capabilities of generative AI solutions

• Describe the impact of prompt engineering
• Understand techniques of prompt engineering
• Identify business requirements for grounding solutions
• Understand how RAG is used for AI solutions
• Understand the impact of data on AI solutions, including data type, data quality, and representative datasets
• Describe the importance of secure AI
• Identify scenarios when machine learning adds value
• Describe the lifecycle of a machine learning solution
• Identify security considerations for AI systems, including application security, data security, and authentication requirements

A chief financial officer (CFO) lives in this skill area when asking whether a Copilot rollout pays for itself in tokens and hours returned. A chief information security officer (CISO) lives here when asking about application security, data security, and authentication for AI systems.

Skill area 2 — Identify benefits, capabilities, and opportunities for Microsoft's AI apps and services (35–40%)

This is the other large area. It is where Microsoft 365 Copilot, Microsoft Copilot, Copilot Studio, Microsoft Graph, Researcher, Analyst, build/buy/extend, and Foundry Tools show up by name.

Functional group: Identify benefits and capabilities of Microsoft 365 Copilot and Microsoft Copilot

• Map business processes and use cases to Copilot
• Understand differences in capabilities between versions of Copilot
• Understand capabilities of Microsoft 365 Copilot Chat web and mobile experiences
• Understand capabilities of the Copilot experience in various Microsoft 365 apps
• Understand capabilities of Microsoft Copilot Studio
• Understand capabilities of Microsoft Graph
• Identify benefits and capabilities of an integrated Microsoft AI solution, including risk mitigation and safety benefits
• Map business processes and use cases to Microsoft's AI apps and services
• Identify when to use Researcher or Analyst in Copilot
• Identify when to build, buy, or extend, including the Microsoft 365 Copilot extensibility framework

Functional group: Identify benefits and capabilities of Foundry Tools

• Map business processes and use cases to Foundry Tools
• Identify capabilities of Foundry Tools, including Azure Vision in Foundry Tools, Azure AI Search, and Microsoft Foundry
• Match an AI model to a business need
• Identify the benefits of Microsoft Foundry and Foundry Tools, including scalability and security

A practical leader test is: Does this process belong in Copilot, in Foundry Tools, or in both? Copilot is the Microsoft 365 work surface. Foundry Tools—including Azure Vision in Foundry Tools, Azure AI Search, and Microsoft Foundry—is the platform path when you need vision, retrieval, or a chosen model beyond the Copilot experience. Microsoft's July 2026 product names are Microsoft Foundry and Foundry Tools; older "Azure AI Foundry" or "Cognitive Services" labels may still appear in documentation. Teach and answer with the current blueprint names.

Skill area 3 — Identify an implementation and adoption strategy for Microsoft's AI apps and services (20–25%)

This is the smallest scored area, not an optional area. Leaders fail here when they can describe Copilot but cannot stand up governance, an adoption team, or a license model.

Functional group: Align an AI strategy with Microsoft responsible AI policies (Microsoft's published group title)

• Explain the importance of responsible AI
• Establish governance principles for AI use
• Establish an AI council to guide strategy, oversight, and cross-functional alignment
• Ensure that AI solutions meet responsible AI standards, including fairness, reliability, safety, privacy, security, inclusiveness, transparency, and accountability

Microsoft's public responsible AI principles page groups those standards into six principles: fairness; reliability and safety; privacy and security; inclusiveness; transparency; and accountability. The blueprint lists the same ideas as eight words. Learn both views, because a scenario may say "six principles" while a skills bullet lists reliability and safety as two words.

Functional group: Plan for AI adoption across the organization

• Establish an adoption team
• Identify common barriers to adoption
• Establish an AI champions program
• Understand potential impacts to data, security, privacy, and cost
• Understand Copilot license types, including pay-as-you-go, monthly, and included with Microsoft 365 subscription
• Understand Foundry Tools subscription models, including pay-as-you-go and commitment tiers

An HR leader is in this area when staffing champions. Legal is here when privacy impact is on the table. Finance is here when choosing monthly Copilot licenses versus pay-as-you-go, or Foundry commitment tiers versus pay-as-you-go.

July 22, 2026 change log

Microsoft's AB-731 study guide compares the current skills list with the previous version. Minor means Microsoft edited that row; No change means the skill-area or group title stayed the same.

Read that table the way a program manager would. The exam was not rebuilt from zero on 22 July 2026. The audience wording, the Foundry Tools group, and the adoption-planning group received minor updates—the kind of refresh that usually tracks product naming (Foundry Tools) and adoption or licensing language. The two skill-area titles in the table were unchanged. The first skill area (generative AI business value) does not appear as its own change-log row.

If you studied from notes written before 22 July 2026, re-read the audience profile, the Foundry Tools bullets (Azure Vision in Foundry Tools, Azure AI Search, Microsoft Foundry), and the adoption-planning bullets (Copilot license types and Foundry subscription models). Do not throw away your generative-AI notes; Microsoft did not list that skill area as rewritten.

Official Microsoft pages for this section

• Study guide for Exam AB-731 — skills measured as of July 22, 2026
• Microsoft Certified: AI Transformation Leader
• Microsoft Certified: AI Business Professional (Exam AB-730)
• Responsible AI principles and approach