Evaluation teams
You run adversarial tests and need findings to land in controls, not just reports.
Product in development
GovTune AI
Design partner pilotsGovTune turns red-team traces into governance findings, control recommendations, escalation logic, and decision records. We are opening a small number of design partner pilots with teams that already run AI evaluations or govern high-stakes AI systems.
Request pilot accessThe point
Most red-team work loses force after the finding. The trace is technical. The control owner is organizational. The board artifact arrives late, if it arrives at all.
GovTune is the translation layer. It reads evaluation evidence and helps draft the governance object that should follow: finding, control, owner, severity, escalation path, and decision record.
This is not a public model launch. It is an early design-partner program for teams that can bring real workflows, real constraints, and real review standards.
Workflow
Trace to control
The pilot is built around one operating question: can the evidence from an evaluation become a governance action without losing the thread?
GovTune is not meant to replace evaluators or reviewers. It is meant to preserve the chain from technical trace to accountable decision.
Trace ingestion
Bring a red-team trace, evaluation run, incident record, or structured finding from your current workflow.
Governance finding
GovTune drafts the finding in a format a review board, risk committee, or control owner can use.
Control mapping
The output maps evidence to candidate controls, owners, verification steps, and escalation triggers.
Decision record
The system keeps an audit trail from evidence to recommendation so the decision can be reviewed later.
Pilot fit
Who should request access
Governance owners
You review AI risk evidence and need a cleaner path from trace to accountable action.
AI risk leads
You own model risk, safety, assurance, or escalation workflows in a high-stakes deployment.
Design partners
You can pressure-test the product with real use cases, clear constraints, and serious feedback.
What a pilot should prove
A useful pilot should show whether GovTune can preserve evidence quality, reduce handoff loss, and produce governance artifacts that withstand review.
The output is not a demo transcript. The output is a tested workflow: what evidence comes in, what governance object comes out, who reviews it, and what changes in the organization because of it.
Pilot access
Request a GovTune pilot
Use this form if you have a concrete evaluation, governance, assurance, or AI risk workflow where trace-to-control translation matters.