Which automation and cloud levers make sense first.
Get your AI check with 3 quick wins.
The check makes visible whether M365 work, manual process work, knowledge search, cost or rules and approvals are currently your strongest lever.
For US and international leadership, operations and IT teams where AI already appears in daily Microsoft 365/Azure work.
- 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.
Where approvals, security or cost control need attention first.
What can create relief without migration or tool lock-in.
A clear recommendation: start, check further, wait or deliberately do not start.
Complete the 5-minute check and see the result instantly.
Answer 12 short questions. Then see whether M365 work, manual processes, cost or rules and approvals are currently your strongest lever.
The check shows how Tirion thinks: technical, commercial and without theatre.
Which manual routines tie experts to work that could be structured or automated?
Where do cost, complexity or platform risks appear because rules and responsibilities are unclear?
Which shadow AI, data and approval risks would block later scaling?
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.
If pressure, sponsor or Microsoft leverage is still weak, use the matching decision guide first.
If a lever looks reliable, Kevin reviews quick wins, risk and the next path with context.
If the check is too early, it does not become a project. That is a valid outcome.
What happens next?
You invest 5 minutes and recognize your own leakage profile.
Manual work, cost, rules, approvals and decision clarity become visible immediately.
Tirion checks which levers are actually reliable in your situation.
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 consulting theatre.
- 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
