How To Select And Prioritize Agentic AI Use Cases

Use this guide for scoring and decision mechanics. Use the agent lifecycle roadmap as the broader "when to use what" reference across conception, data readiness, governance, build, validation, rollout, operation, and scale.

1. Agent Fit Filter

Use this filter before platform selection. It is not a stop-at-first-no checklist. It is a routing sequence that decides whether the idea should become a custom agent, a SaaS/prebuilt capability, automation, search/RAG, analytics, or no build.

Step 1: Confirm the outcome

Ask whether the business outcome, workflow, owner, and KPI are clear.

• If yes, continue.
• If no, do not select a platform yet. Clarify outcome, owner, workflow, and measurement.

Step 2: Check for an existing capability

Ask whether an existing Microsoft SaaS capability or prebuilt agent can satisfy the requirement with acceptable governance.

• If yes, prefer the SaaS or prebuilt pattern. Validate fit, licensing, data access, and admin controls.
• If no, continue classification.

Step 3: Look for deterministic workflow

Ask whether the workflow is mostly deterministic, rules-based, or a known integration sequence.

• If yes, prefer standard app configuration, Power Automate, Logic Apps, workflow, rules engine, or API integration.
• If no, continue classification.

Step 4: Look for grounded knowledge work

Ask whether the workflow is primarily static Q&A, summarization, or content generation over approved knowledge sources.

• If yes, prefer Microsoft 365 Copilot, Copilot connectors, Copilot Studio knowledge, Azure AI Search, or another RAG/search pattern.
• If no, continue classification.

Step 5: Look for analytics or model work

Ask whether the need is prediction, classification, extraction, optimization, reporting, or analytics rather than autonomous task execution.

• If yes, prefer Microsoft Fabric, Power BI, Azure Machine Learning, Foundry Models, or embedded AI in the business app.
• If no, continue agent assessment.

Step 6: Confirm agentic behavior

Ask whether the workflow requires adaptive reasoning, planning, context-dependent tool use, or autonomous task execution.

• If yes, continue to agent platform selection.
• If no, route to the best non-agent pattern identified above, or stop if there is no measurable value.

Step 7: Add controls for high-risk action

Ask whether the action is high risk, regulated, financially material, externally visible, or hard to reverse.

• If yes, add human approval, deterministic workflow boundaries, least privilege, audit, rollback, and stronger validation.
• If no, standard controls may be sufficient.

Recommended output: every idea should receive a routing decision, not just an agent/no-agent decision.

Routing Decision	Use When
SaaS/prebuilt agent	Existing Microsoft product capability meets the requirement with acceptable controls.
Microsoft 365 extension	Work happens primarily in Microsoft 365 and needs grounded productivity support or limited actions.
Copilot Studio agent	Low-code agent, knowledge, connectors, actions, channels, and Power Platform governance are sufficient.
Foundry/custom agent	Pro-code orchestration, model/tool control, advanced evaluation, custom runtime, or complex integration is required.
Automation/workflow	The process is deterministic or can be reliably represented as rules, workflow, or API integration.
Search/RAG	The need is grounded answers or content generation without adaptive tool use.
Analytics/model	The need is prediction, classification, extraction, optimization, or reporting.
Stop/defer	The outcome is unclear, value is weak, data cannot be used, or residual risk is unacceptable.

2. Use-Case Classification

Classification	Description	Typical Microsoft Pattern
Productivity	Helps users search, summarize, draft, analyze, or prepare work products.	Microsoft 365 Copilot, Copilot extensions, Microsoft 365 agents, Copilot Studio
Action	Takes bounded actions in business systems with approvals, tools, or connectors.	Copilot Studio, Power Platform, Dynamics 365, Microsoft Graph connectors, MCP where appropriate
Automation	Runs repeatable process steps with deterministic workflow and occasional AI decision support.	Power Automate, Copilot Studio agent flows, Foundry workflows, Microsoft Agent Framework
Knowledge/RAG	Answers questions or summarizes grounded content without adaptive tool use.	Microsoft 365 Copilot, Copilot Studio knowledge, Azure AI Search, Foundry
Model/analytics	Predicts, classifies, extracts, optimizes, or analyzes data without an agent loop.	Microsoft Fabric, Azure Machine Learning, Foundry Models, Power BI
Custom agent	Requires code-first orchestration, complex integrations, custom runtime, or advanced model/tool control.	Microsoft Foundry, Azure, Microsoft Agent Framework, custom app architecture

3. Prioritization Scoring

Score each dimension from 1 to 5. Use weighted scoring only after decision owners agree on strategic priorities.

Dimension	Weight	1	3	5
Business impact	30%	Nice-to-have improvement	Meaningful local improvement	Directly tied to funded strategic outcome
Technical feasibility	20%	Complex integration or unclear build path	Feasible with known gaps	Clear build path using existing Microsoft capabilities
Data readiness	20%	Data inaccessible, stale, low quality, or unpermissioned	Key data exists with remediation needed	Authoritative, clean, current, permissioned, compliant data
User desirability	15%	Low adoption pull or unclear workflow fit	Some user demand and change effort	Strong user pain, clear workflow placement, willing pilot group
Risk/control feasibility	15%	Controls unclear or residual risk likely unacceptable	Controls possible with effort	Risks understood and controls available

Recommended interpretation:

Score	Decision
4.0-5.0	Strong pilot candidate
3.0-3.9	Candidate if gaps can be resolved before build
2.0-2.9	Redesign, simplify, or defer
Below 2.0	Stop or route to non-agent backlog

4. Platform Selection

Choose the simplest Microsoft-aligned option that meets functional, governance, and lifecycle requirements.

Decision Point	Recommended Pattern
Need is standard productivity, research, drafting, analysis, or Microsoft 365-grounded work	Use Microsoft 365 Copilot or Microsoft 365 Copilot agents/extensions
Need is a business-user configurable agent with knowledge, topics, connectors, actions, channels, and governance	Use Copilot Studio
Need is a pro-code agent, custom model selection, advanced evaluation, model routing, custom tools, or deeper AI engineering	Use Microsoft Foundry and Azure services
Need is deterministic workflow with light AI support	Use Power Automate, Copilot Studio agent flows, or Foundry workflows
Need is Dynamics 365 process augmentation	Extend Dynamics 365 Copilot and related business app capabilities before custom build
Need is predictive analytics or model training rather than agent behavior	Use Microsoft Fabric, Azure Machine Learning, Foundry Models, or Power BI
Need requires custom runtime, cross-platform orchestration, specialized security boundary, or advanced engineering control	Use code-first architecture on Azure with Microsoft Agent Framework or appropriate frameworks

5. Single-Agent Versus Multi-Agent Decision

Default to a single-agent pilot unless there is a clear reason to split responsibilities.

Use Single Agent When	Use Multi-Agent When
Scope is narrow and one owner can govern the agent.	The workflow crosses materially different domains, teams, or policy boundaries.
The agent uses a small set of tools and knowledge sources.	Distinct agents need separate identities, skills, data access, or approval paths.
Latency and observability are easier with one orchestration path.	Parallel work, handoffs, or specialist roles create measurable value.
The pilot is testing whether agentic behavior is useful at all.	Scale, reuse, or future growth requires modular agent responsibilities.

6. Grounding And Tool-Use Decision

Need	Pattern	Control Focus
Answer from enterprise content	Search/RAG	Source authority, freshness, permissions trimming, citation, content lifecycle
Read or update business records	API/tool action	Least privilege, approval, validation, audit, rollback
Connect to standardized external or internal tools	MCP or connector	Server trust, tool schema, authorization, data exposure, logging
Execute high-risk business decision	Deterministic workflow with human approval	Policy enforcement, explainability, segregation of duties, evidence
Combine knowledge, action, and adaptive reasoning	Mixed grounding and tools	Orchestration, prompt injection defense, tool constraints, telemetry

7. Go/No-Go Gates

Decision	Go	Redesign	Stop
Business value	KPI target is material and measurable.	Value exists but KPI or owner is unclear.	No meaningful business outcome or sponsor.
Agent fit	Reasoning/tool/adaptive behavior is required.	Need can be simplified.	Deterministic automation or static Q&A is enough.
Data readiness	Authoritative data is available and permissioned.	Data remediation is achievable in pilot timeframe.	Data cannot be accessed, trusted, or used compliantly.
Security/compliance	Controls and evidence are acceptable.	Controls need architecture changes.	Residual risk is unacceptable.
User adoption	Pilot users agree workflow placement and feedback loop.	Change plan needs revision.	Users do not want or cannot use the solution.
Operations	Owner, telemetry, support, cost, and lifecycle are assigned.	Operating model needs more work.	No accountable owner or support path.