See what proof looks like in 30-45 days.
A time-boxed engagement on your data, inside your perimeter, that produces the audit-grade evidence your risk, privacy, and compliance teams need to approve regulated AI - and a clear go/no-go at the end.
From scoping call to a go/no-go decision
One short engagement that turns "we think it is safe" into evidence a reviewer can sign.
Workshop
A 60-minute call to map the use case, the stakeholders, and the exact evidence your reviewers will ask for.
Evidence Sprint
A 30-45 day engagement on your data and workflow, inside your perimeter, producing audit-ready evidence.
Go / no-go
A clear decision backed by evidence - and a path to expand into production governance if it is a go.
What we test
- Whether your data can be made provably private and still useful
- Whether AI actions stay within policy - and what happens when they do not
- Whether the evidence holds up to the questions reviewers actually ask
What you bring
- A real dataset or a real AI workflow - the one that is actually blocked
- The reviewers who need to approve it (privacy, risk, compliance)
- Your environment: on-prem, private cloud, VPC, or air-gapped
What Realm deploys
- PAMOLA for provably private, usable data
- AYITA to govern the AI work and its actions
- All inside your perimeter - no data egress required
What evidence you receive
Not a slide deck - artifacts a regulator or auditor can open.
PAMOLA Evidence Pack
What was transformed, how privacy was attack-tested, the privacy/utility metrics, and the sign-off record - the audit-ready basis for releasing the data.
AYITA Cognitive Trace Pack
Who acted, which agent, what policy applied, the verdict (approved / blocked / escalated), the named reviewer, and a decision trace a reviewer can recompute.
Who participates
The Evidence Sprint is designed around the people who actually grant approval.
The decision you can make
At the end of the sprint you have a defensible go / no-go on putting this AI use case into production - grounded in measured results and evidence your reviewers have already seen, not a vendor's assurances.
What happens after
If it is a go, the same PAMOLA and AYITA deployment becomes your ongoing governed AI infrastructure - data release, agent oversight, and audit evidence as a repeatable operation, not a one-off.
Run an Evidence Sprint
Bring the use case that is actually blocked. In 30-45 days, see what proof looks like.
Request your Sprint