AI Use Cases

Do not start with a product. Start with the decision AI needs to make safer.

Tirion organizes AI use cases by architecture, governance, operating model and buying path so AI pressure turns into a defensible next move.

Use cases -> architecture solution -> Tirion path

Start Leakage Score View offers

Do not start with a product. Start with the decision AI needs to make safer.

Practical starting points

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 architecture Check 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 architecture Check 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 architecture Check 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 architecture Check cloud cost lever

From idea to decision

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.

01Situation

The operating problem comes before product 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.

Sensitive AI workflows

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. They are not sold here as quick demos, but treated as decision and governance paths.

Review governance path

Quality signals

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.

Start now

Not sure which use case is ready first?

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

Start score View offers