Enterprise · Validation

When your AI finds something wrong, a named person confirms it before it ships.

Savia turns an AI-flagged conflict into a task with its full evidence, routes it to a named reviewer, and records the decision as confirmed — never inferred, never guessed. We are building it on CareCompile first, our own clinical-intelligence platform: an automated review flags a conflicting protocol value, and it enters a queue where a named clinician records the verdict against a fixed sample. The queue is live; the first physician review is not finished, and we would rather say that than publish a number you cannot audit. If your team ships AI-assisted work and needs the same guarantee, this is what we do — for you too.

EVAL / CO-042REGIONAL READINESS
01

Is the conflict written down with its evidence, or does someone have to reconstruct it from memory?

PASS
02

Did a named person decide, or did an aggregate score decide for them?

REVIEW
03

Is that decision recorded permanently, so the next run does not repeat the same unresolved question?

PASS
Not a benchmark score

A record of who decided, and why.

01

Evidence

Every task carries the exact conflicting values and where each one came from — not a summary.

02

Decision

One named person answers. Not a vote, not a threshold.

03

Provenance

The answer is stored as human-confirmed, permanently distinct from anything a model inferred.

04

Traceability

Every confirmed fact traces back to the task, the evidence, and the person who decided.

EVALUATION LOOP

How a finding becomes a validated fact.

01

Find

An automated review flags a conflicting or unconfirmed claim.

02

Task

It becomes a task: the conflict, the candidate answers, the evidence for each.

03

Confirm

A named person reviews it and records a decision.

04

Apply

The confirmed answer replaces the flagged one, traceable to who decided and why.