01
Workflow autopsy
Map the real process, including handoffs, unofficial workarounds, missing context, and the points where automation can create a quieter disaster.
AI workflow reliability for regulated operations
Find the failure before it becomes policy.
Counterproof helps support and operations teams turn promising AI experiments into dependable working systems: scoped, tested, auditable, and usable by the people carrying the pager.
The counterproof method
Build from the exception path inward.
02
Reliability scaffold
Design evaluation sets, approval gates, escalation paths, observability, and repair loops around the model rather than trusting the model to become the scaffold.
03
Regulated rollout
Translate constraints into usable runbooks: data boundaries, human review, traceability, ownership, and practical adoption for teams that cannot improvise with sensitive systems.
Best fit
The awkward middle between prototype and production.
Counterproof is for teams with a real workflow, real constraints, and enough AI capability to create momentum, but not yet enough operational structure to trust what they have built.
First engagement
Bring one stubborn workflow.
We will identify where the risk actually lives, what should remain human, and the smallest reliable system worth building next.
Start with the problem