Workflow and failure map
Stages, handoffs, dependencies, false-green points, and missing receipts.
Problem-to-Proof by Asterion Labs
Your AI can say it finished. We make it prove it.
A one-week assessment for one consequential AI-enabled workflow—designed to expose false-green completion before a customer, executive, operator, or risk reviewer has to reconstruct the proof by hand.
One workflowA bounded start and end—not a generic enterprise AI review.
One weekA focused assessment ending in a decision-ready assurance pack.
No production changesSynthetic, public, or genuinely redacted inputs only.
From a completion claim to a reviewable decision.
We map how the workflow currently declares success, identify where evidence can fall behind that claim, define observable acceptance checks, and preserve the human authority required for consequential action.
Acceptance-check register
Binary, observable gates for the selected business outcome.
Authority matrix
What AI may prepare, what requires human approval, and what remains prohibited.
Sample proof pack
A controlled demonstration using synthetic or genuinely redacted material.
Readiness decision
READY, READY WITH CONDITIONS, or NOT READY—with prioritized remediation.
Pilot recommendation
A precise decision on whether a four-week operational pilot is justified.
Bounded by design.
Problem-to-Proof is an operational-assurance assessment. It is not an audit opinion, legal or regulatory certification, security assessment, model-validation opinion, guarantee of business correctness, or unrestricted production automation.
Allowed inputsSynthetic, public, or genuinely redacted material within an agreed boundary.
Required ownerThe buyer names the workflow, sponsor, allowed inputs, prohibited data, and approval authority.
Controlled next stepA four-week pilot is recommended only when the evidence supports it.