How it works
Arkheia detects when model behaviour becomes unreliable, and feeds that signal back into the workflow — so agents can act on it immediately, without stopping the pipeline.
The Runtime Control Loop
- Model produces output.
- Arkheia evaluates behavioural signals.
- A zone is assigned.
- The workflow reacts.
- The decision and context are logged.
On review, the system can recycle its own findings.
On hold, propagation stops.
Governance executes before impact.
Continuous Model Characterisation
Arkheia maintains behavioural surfaces for each supported model.
Each surface includes:
- Model version
- Pinned corpus reference
- Validation timestamp
- Stability metrics
When models update:
- They are re-tested against pinned corpora.
- Behavioural separation is compared to baseline.
- Drift is quantified.
- Calibration gates trigger before rollout.
Model updates become governed events. Not silent regressions.
Calibration Events
Before a new model version is promoted:
- It is run against pinned corpora.
- Behavioural surface is compared to baseline.
- Separation deltas are measured.
- Zone stability is validated.
- Promotion is approved or rejected.
This prevents silent integrity regression.
Trust becomes continuous — and speed increases with it.
In agentic workflows, Arkheia doesn't “pause for humans”. It feeds a control signal back to the agent: retry, verify, remediate, or proceed — with an audit trail.
Below is the simplest honest version of the flow.
Inline filter at the boundary
Arkheia sits where outputs become actions — so integrity is enforced before damage propagates.
Signal back to the agent
The finding is reusable: agents can retry, verify, and remediate — making false positives cheap.
Trust + speed
Trust stops being a meeting. It becomes a control signal that keeps pipelines moving safely.