Process & human control

Design the operating model before automating the clicks.

A dependable AI workflow starts with ownership, boundaries, exceptions, and evidence. Technology is selected only after we understand how the result should be produced and controlled.

01

Observe the real work

Interview the owner and the employees who run the process. Follow real inputs, handoffs, exceptions, and workarounds—not the idealized SOP.

Current-state map
Volume and time baseline
System inventory
Exception list
02

Choose the operating boundary

Define what AI may interpret or execute, what remains deterministic, and where a person must review or decide.

AI decision boundary
Source-of-truth rules
Approval matrix
Failure ownership
03

Build a narrow pilot

Test one workflow with realistic examples, explicit success criteria, and production-shaped controls before expanding scope.

Representative test set
Human review path
Audit and alerts
Success metrics
04

Deploy with the team

Launch in stages, train employees on the new responsibility split, and make it easy to pause or override the workflow.

Staged rollout
Employee training
Runbook and ownership
Fallback procedure
05

Manage what changes

Monitor real outcomes, study exceptions, update business rules, and adapt when systems, formats, or teams change.

Operating review
Exception analysis
Rule updates
Next workflow backlog
Human control by design

Automation is not the absence of judgment.

It is the deliberate placement of judgment where it creates the most value and controls the most risk.

Irreversible actions

Payments, deletions, binding commitments, and consequential changes stay behind explicit control.

High-value exceptions

Thresholds can require review based on customer value, order size, risk, or policy.

Low-confidence cases

Uncertain extraction or interpretation moves to a person with the evidence highlighted.

Pause and fallback

The team can stop the workflow and continue manually when inputs or systems behave unexpectedly.

A practical first step

Start with one workflow worth fixing.

Bring us a workflow that is repetitive, cross-system, exception-heavy, or simply too dependent on one employee. We will help you decide whether AI belongs in it.

Assess a workflow