The operating model that shows where AI should intervene first
Mitori reconstructs workflow reality from observed work, then turns that evidence into rollout decisions, sequencing, and governance-aware automation priorities for your operations team.
The operational blind spot
You know your processes need to change. But you can't optimise what you can't see.
Invisible workflows
60%+ of knowledge work happens outside systems of record. The work that matters most to rollout decisions often lives in handoffs, switching costs, and exception paths that are never formally logged.
Self-reporting bias
People underreport repetitive tasks and overstate strategic work. Every workshop output is a performance, not a measurement.
Integration complexity
AI deployment requires understanding not just what roles do, but how they interact — the handoffs, dependencies, approval boundaries, and exception paths that create rollout risk.
What Mitori delivers for operations
Captures the vast majority of desktop-based work activity — applications, process steps, and handoffs that never make it into your ERP.
Turns observed work into a sequenced roadmap rather than a loose list of opportunities.
Brings governance constraints, exception loops, and approval bottlenecks into the rollout decision before build starts.
From observed work to rollout decisions
The operational workflow for a typical Mitori engagement.
Agent deployment
Lightweight desktop agent deployed across target departments. Employee consent flow completed. Zero impact on daily operations.
Observation period
30–90 days of passive data capture. No workflow changes required. The agent runs silently in the background.
Roadmap and approval
Business Audit + AI Transformation Blueprint delivered. Readout session with your operations team to walk through findings.
Governed rollout
Approved workstreams move into implementation with structured handoff packets, control points, and Mitori Monitor tracking the realized outcome.