Find and fix software risk
Follow a live problem into a supported code investigation, review the proposed change, and keep the evidence visible in Athena.
Athena connects people, AI agents, and the tools they already use. It keeps important decisions with the right person, applies clear limits, and preserves the result in one record.
Six systems work inside Athena. They are grouped here by the result a customer needs, not by the internal architecture.
Follow a live problem into a supported code investigation, review the proposed change, and keep the evidence visible in Athena.
Give each agent session a checkable identity, bind it to a named person's authority, and apply the supported execution boundary.
Test infrastructure the organisation owns and has approved, then return demonstrated findings and evidence to Athena.
Retain useful workspace checkpoints so a failed or interrupted run can continue from the last good point.
The system changes with the job. The organisational path stays recognisable.
An agent prepares the exact action and the details that change the decision.
The named person decides where approval is required, and Athena applies the supported boundary.
The request, decision, action or refusal, outcome, and evidence stay connected.
Retained workspace state lets interrupted work continue from a useful checkpoint.
A business reader can follow the four questions. A technical reviewer can inspect the correlation identifier and the evidence behind each answer.
The named person, role, and authority behind the decision.
The exact action, concrete arguments, policy, and supported scope.
The executed action or refusal and its recorded outcome.
The technical evidence, retained state, and result the organisation can inspect.
Every document begins with a plain explanation and example. Exact mechanisms, standards, proof, and limits follow lower on the same page.
Use Trust for deployment, data handling, assurance status, and the procurement path. Use Product for the day-to-day customer workflow.