Prove the AI-assisted decision was defensible.
As AI agents enter regulated decisions, organizations must prove each one was sound — long after it was made. Ryla makes that record reconstructable, machine-checkable, and defensible.
Workflow tools route the work. None can prove it later.
What a challenge demands
- ×Which rule or policy version governed it
- ×What evidence it rested on
- ×What the AI contributed
- ×Whether a qualified human reviewed it
What Ryla produces
- ✓Governing rule, by effective date
- ✓Each requirement bound to evidence
- ✓AI recorded as input, not authority
- ✓Reviewer, credentials, and rationale
A verifiable bitemporal decision-evidence-policy graph.
Ryla is itself an AI system — designed to propose findings with one layer and independently verify them with another, certifying only what it can ground in source evidence.
Rule intelligence
Decompose dense policy, standards, and specifications into a machine-checkable rule graph.
Evidence verification
Bind each rule to source evidence; an independent verifier certifies only what it can re-derive.
Point-in-time reconstruction
Replay a past decision under the exact rule, evidence, and model versions in force then — not those that exist today.
Tamper-proof sealing
Seal each record so it survives audit, and is never silently rewritten as interpretations evolve.
Independent verification matters because findings often come from parties with incomplete visibility or conflicting incentives — the difference between an asserted risk and a defensible one.
Proven first in healthcare administrative review.
IROs & delegated UM vendors
Their product is already defensible review — an independent record is a feature, not a liability.
Payer compliance & MA organizations
They own the regulatory risk and the budget when a decision is challenged.
CMS-0057-F in force
Federally mandated decision turnaround, a specific reason for every denial, and auditable, time-stamped trails — including across delegated review.
Lokken discovery order
A federal court compels disclosure of how an AI tool was built and used to deny care — exactly the record most organizations cannot assemble.
One core. The regulated frontier.
Healthcare administrative review is the first proving ground, but the proof engine is sector-agnostic. The same independent verification — grounding each finding in source evidence and confidence-scoring what can be proven — extends wherever regulated decisions must be defended.
Defense supply chain
Verifying supplier-risk and provenance findings, and grounding compliance and sustainment decisions under audit.
Finance
Regulatory compliance and decision audit — verifying and grounding the findings behind consequential calls.
Benefits adjudication
Eligibility and determination trails — a defensible, reconstructable record of what governed each decision.
One core. A multi-sector path beyond healthcare.
Working on AI-assisted decisions in a regulated domain?
If you live this problem — independent review, utilization management, or payer compliance — we’d value twenty minutes.
hello@rylaventures.com