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AI check

Get your AI check with 3 quick wins.

The check shows whether your strongest lever is in M365 workflows, manual work, knowledge search, cost control, or rules and approvals.

For US and international teams already using AI across Microsoft 365 or Azure workflows.

Value first

Complete the 5-minute check and see the result instantly.

Answer 12 short questions. Then see whether M365 workflows, manual work, costs, or rules and approvals deserve attention first.

0/12 questions answered
Step 1 of 4Context0/12 questions answered

Step 1 of 4: Context

Step 1 of 4: Context

01How large is the company?Company size helps us assess approval needs and scaling pressure.
02How central are Microsoft 365/Azure today?The check is especially useful for M365, Azure and identity-related leverage.
03Which cloud situation fits best?Cost and complexity often appear when platforms grow before responsibility is clear.
04Roughly how high are monthly cloud and software costs?A rough range is enough. This is about cost signals, not accounting.

100% free. No tool lock-in. No sensitive data in the check. Instant result plus personal 3-quick-win review.

What the check showsInstant result in the browser, personal interpretation after submission.
Typical workload and risk signals
  • Copilot sees more than the business has clarified.
  • ChatGPT runs next to IT and touches unclear data classes.
  • M365 knowledge stays fragmented while AI is expected to answer.
  • Agents need approvals, responsibilities and human review before access.
Top opportunities

Which automation and cloud levers make sense first.

Risk signal

Where approvals, security or cost control need attention first.

3 quick wins

What can reduce workload first without migration or tool lock-in.

Start / Stop / Wait

A clear recommendation: start, check further, wait or deliberately do not start.

How we check

The check shows how Tirion thinks: practical, commercial and without hype.

Manual work

Which manual routines tie experts to work that could be structured or automated?

Cost & complexity

Where do cost, complexity or platform risks appear because rules and responsibilities are unclear?

Rules & approvals

Which unmanaged AI, data and approval risks would block later scaling?

Similar Client Stories

Which Client Stories match your industry, size, tech stack and problem?

No forced sales call.

The result intentionally leads into three possible outcomes. The check stays useful even when a call would be too early.

Use the guide first

If pressure, sponsor or Microsoft leverage is still weak, use the matching decision guide first.

AI check review

If a lever looks reliable, Kevin reviews quick wins, risk and the next path with context.

Do not start

If the check is too early, it does not become a project. That is a valid outcome.

What happens next?

1
Answer 12 questions

You invest 5 minutes and see where the main AI workload signal sits.

2
See the instant result

Manual work, cost, rules, approvals and decision clarity become visible immediately.

3
Get 3 quick wins interpreted

Tirion checks which levers are actually reliable in your situation.

4
Clarify the next step

If useful, AI Kickstart, Sprint or Advisory follows. If not, we say so clearly.

Risk reduced before you decide.

  • No tool lock-in
  • No migration in the first step
  • No data sharing in the check
  • GDPR-/security-oriented approach
  • Clear recommendation, even when "do not start" is the right answer

Practical depth, without hype.

  • Azure OpenAI, Microsoft 365 and identity as a controllable architecture frame
  • FinOps KPIs for owners, tags, alerts and cost accountability
  • Data classes for SharePoint, customer data and sensitive process information
  • Human-in-the-loop review points for AI workflows with real impact