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AI Use Cases

AI problem fields for safer decisions.

Do not start with a tool. Tirion organizes problem fields by symptom, risk, architecture, governance and decision path.

Use cases -> architecture solution -> Tirion path
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AI problem fields for safer decisions.

Concrete problem fields before a pilot starts.

The best entry point is rarely the loudest AI use case. It sits where repetition, risk and manual work overlap.

01AI pilot chaos
Symptom
Experiments exist, but no roadmap.
Risk
Budget moves into ideas without stop or scale rules.
Prioritize use cases
02Shadow AI and tool governance
Symptom
Employees use AI while approvals lag behind.
Risk
Data classes, tool access and owners stay invisible.
Clarify governance
03M365 knowledge drag
Symptom
Knowledge is scattered and hard to trust.
Risk
Answers without sources, permissions or owners are not defensible.
Check Company Brain
04Compliance evidence gap
Symptom
Decisions and approvals are scattered.
Risk
Reviews, exceptions and vendor evidence become hard to prove.
Build evidence
05Workflow automation potential
Symptom
Recurring work is copied, checked and routed manually.
Risk
Automation starts too broad or without human review.
Assess workflow
06AI cost and ownership gap
Symptom
AI and cloud cost grows without a business owner.
Risk
Scaling gets expensive before value and operations are visible.
Clarify cost logic

Where AI needs to become decision-ready first.

Each use case shows the business problem, required system boundaries and the realistic next move: clarify first, build with focus or deliberately stop.

M365 Company Brain

M365 Company Brain for Microsoft-first Teams

Knowledge, routines and decisions live across Teams, SharePoint, Outlook, files and people. AI should help, but access, source quality and operation cannot be lost.

Internal knowledge searchOperations routine prepAccount and project briefings
Open architectureCheck M365 leverage
Governed AI Agents

Governed AI Agents & Permission Architecture

Agents are expected to use tools, prepare data or trigger workflows. That is where prompt rules stop being enough.

Tool-using agentsPermission architectureAI approval workflow
Open architectureCheck agent governance
Revenue Ops AI

Revenue Ops AI Automation

Sales and account teams lose time in research, routing, follow-up and proposal preparation. Automation cannot lose tone, context or control.

Lead routingAccount briefingFollow-up and proposal drafting
Open architectureCheck revenue workflow
Secure Azure OpenAI

Secure Azure OpenAI Foundation + AI Cost Control

AI pilots expand, cloud spend spreads and no one consistently owns guardrails, tags, budgets, alerts and scale decisions.

AI cost controlSecure Azure OpenAI foundationCloud governance rhythm
Open architectureCheck cloud cost lever

How a use case becomes a reliable path.

Before choosing a tool, Tirion clarifies problem, sources, permissions, review, measurement and ownership. Then it becomes clear whether Kickstart, Sprint, Company Brain or Advisory is the right path.

Review M365 Company Brain Architecture
01Situation

The operating problem comes before tool names.

02System boundaries

Sources, orchestration, AI/agent, review gate, target systems and monitoring.

03Next move

AI Kickstart, Sprint, Company Brain or Advisory depending on readiness.

The more sensitive the workflow, the less it should feel like an experiment.

Healthcare, finance and regulated operations need data classes, review boundaries and owners before a pilot. Tirion treats them as decision and governance paths before any quick demo.

Review governance path

Good automation is visible in what it deliberately does not do.

Clear boundaries

Each use case names when Tirion would stop, narrow scope or clarify governance first.

Owner before output

Scale depends on owner, KPI, data readiness and risk working together.

Microsoft reality

M365, Azure, identity, permissions and operation are designed in from the start.

Review stays visible

AI prepares decisions and work, while sensitive steps remain controlled and approved.

Related decision guides

Useful next pages for this decision.

Continue with the score, framework or buyer material that best fits this decision.

Tirion homepageEntry point for score, solutions and decision logic.AI Workload CheckScore path for first prioritization and next recommendation.AI Decision Call30-minute entry point for start, stop, scope or Kickstart.Security & ProcurementData handling, DPA/SCCs, roles, review gates and vendor readiness.Tirion approachDecision-to-operations path from AI idea to controlled operation.Tirion solutionsDecision paths from score to Kickstart, sprint and advisory.
More deep-dive topicsOpen the clustered reference links when a team needs more context.

Core paths

AI ConsultingPrioritization, governance and execution path for AI initiatives.

Company Brain

Company Brain Microsoft 365Knowledge layer for M365, permissions, retrieval and workflows.

Use-case decisions

Prioritize AI Use CasesEvaluate, compare and decide which AI use cases deserve budget.AI Use Case Scoring MatrixScorecard for value, data, risk, owner and operations.AI Use Case Approval WorkflowApproval path for AI use cases before pilot and budget.

Agents and approvals

AI Agent GovernanceTool access, approvals, logs and permissions for agents.AI Agent Governance ChecklistChecklist for permission model, approval and stop rules.AI Agent PermissionsLeast-privilege model for reading, writing and triggering.AI Agent Human ApprovalApproval boundaries for agent actions with business impact.AI Agent Tool BoundariesTool boundaries for data access, actions and escalation.

Frameworks

Tirion FrameworksPublic Tirion frameworks for AI decisions.

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Not sure which use case is ready first?

The score shows whether operations, governance, cloud cost or decision readiness is currently the strongest lever.

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