01
Decision moment
When recurring M365 routines, internal knowledge search or manual handoffs are visibly binding operations capacity.
Operations Leakage Score
Operations Leakage Score for Microsoft 365 teams.
Operations Leakage Score for US and international teams: classify M365 routines, manual handoffs, knowledge search and automation potential in 5 minutes.
What does an Operations Leakage Score check?
Short answer
An Operations Leakage Score checks where repeated work across Microsoft 365, SharePoint, service, reporting or back-office routines is wasting capacity. The goal is not instant full automation, but a prioritized first relief path with owner, data reality and review boundaries.
02
Expected outcome
A first view of which 1-2 operations routines deserve relief and whether AI Kickstart, Sprint or deliberate wait is the right next move.
03
Recommended path
Existing project pattern: 14 routines were reduced to 4 automation paths, with human review instead of disconnected tool sprawl.
04
Market fit
For US and international operations teams that need measurable relief without launching a broad transformation program.
Framework
Operations Leakage Funnel
The funnel separates real relief potential from nice-to-have automation.
Which repeated work consumes specialist time every week?
Which inputs already live in SharePoint, Teams, Outlook, CRM or operating systems?
Where may AI prepare work and where must a human approve?
Which 1-2 routines are small enough for the first reliable move?
Tirion artifacts
What the decision process makes tangible
The page is not meant to end in abstract advice. It points toward concrete decision material leadership can use.
Score fields for routine, owner, data source, review step and expected relief.
A process view separating manual work, AI preparation and human review.
Scope, non-goals, risks, metric and next decision point.
Decision questions
Questions leadership should answer before the next move
- Which routine would create visible relief tomorrow if AI prepared the work?
- Which data already exists in Microsoft 365 or operating systems?
- Who owns the process and can judge exceptions?
- Which decision should AI never make autonomously?
Red flags
Signals that the work is not ready to scale
- The first use case has no business owner.
- Data is scattered and approval boundaries are not known.
- Automation is launched as a tool project before the target process is clear.
Anonymized example pattern
Anonymized operations pattern
An SME operations team had 14 recurring routines across reporting, knowledge search and service preparation.
Tirion scored routines by capacity loss, M365 data reality, owner strength and control needs.
4 automation paths remained, and the first sprint started with preparation plus human review.
Decision logic
How to decide
then start with Operations AI Kickstart to create a decision-ready path.
then clarify governance before committing budget or pilot scope.
then use an executive brief, trade-offs and a 30/60/90 roadmap.
Compare with other decision pages
Other search paths
AI Strategy WorkshopAI strategy workshop for US leadership teams that need a real decision.AI Governance ConsultingAI governance consulting for US teams moving from experiments to control.Azure OpenAI ConsultingAzure OpenAI consulting for US teams building Microsoft-first AI.Microsoft Copilot GovernanceMicrosoft Copilot governance for US teams before rollout gets noisy.
Start now
Want to clarify the right path?
Start with the Leakage Score to identify whether the offer path should start with Kickstart, Consulting, Company Brain, Sprint or Advisory.