Current-state evidence
Measure the existing workflow, exceptions, cycle time, failure patterns, and review burden before introducing a new output.
Every pilot needs a baseline, source traceability, acceptance criteria, documented limitations, and a decision owner.
Process evidence
Until permissioned case studies exist, FL1Ai publishes the evaluation process used to earn credible proof.
Measure the existing workflow, exceptions, cycle time, failure patterns, and review burden before introducing a new output.
Identify the person accountable for acceptance criteria, source access, human approval, escalation, and the final decision.
Connect every material output to the record, version, assumption, and reviewer needed to validate it.
Record missing data, false positives, unsupported cases, adoption friction, and situations where the tool must not be used.
Decision rubric
Acceptance criteria are agreed before results are interpreted, and observed evidence stays separate from estimates or aspirations.
| Dimension | Evidence question | Decision signal |
|---|---|---|
| Workflow fit | Does the output improve the named decision without adding hidden work? | Go, Revise, or Stop |
| Traceability | Can a reviewer reach the correct source and version from each material claim? | Go only with reviewable links |
| Quality | How do completeness, error rate, and exception handling compare with the baseline? | Revise if thresholds are missed |
| Safety | Are human approval, escalation, prohibited use, and audit trail controls effective? | Stop if authority is ambiguous |
| Adoption | Can the responsible team use the workflow within current operating constraints? | Revise around field behavior |
Permission boundary
Named case studies, logos, testimonials, and measured outcomes appear only after the participant approves the facts and public use.
Next decision
Bring the owner, baseline, source records, review boundary, and decision threshold.