The agent records the data consulted, the model version, and the policy in force behind an assessment or alert disposition.
Solutions · Financial Services
Replaces · Opaque audit logs · Vendor-controlled compliance pipelines
Verifiable AI for financial services.
Compliance with end-to-end decision traces.
Financial compliance hinges on explaining why a determination was made, yet that reasoning hides inside opaque audit logs and vendor-controlled pipelines. nOS captures regulatory determination rationale and end-to-end decision traces that any auditor can independently verify. The result is compliance that is transparent, portable, and resistant to vendor lock-in.
Decision traces enshrinedRegulatory determination rationale Cross-border compliance decisions AML and KYC reasoning chains Independently replayable audit trails
What gets captured
Most relevant memory layers
Shared & Verifiable
Working memory captures private agent reasoning. Shared memory is where multi-party context coordinates. Verifiable memory is where decisions are enshrined.
Weeks → minutes
Audit preparation
Third-party
Independently verifiable
Deployment & partners
Financial regulators · Compliance consortia
Real enterprise data, processed in production, with decision traces enshrined as Knowledge Assets in the OriginTrail DKG.
The problem
The case for verifiable decisions in financial services.
Financial institutions have long been required to explain decisions to supervisors. What has changed is who makes them. When agents assist in credit assessment, transaction monitoring, or client onboarding, the institution still owes a defensible account of why an outcome was reached and what governed the model behind it.
The regimes are explicit. Model risk expectations, DORA operational resilience requirements, and the EU AI Act treatment of creditworthiness as a high risk use all assume the institution can produce evidence on demand. Audit preparation that takes weeks of reconstruction is a symptom of decisions that were never recorded with their reasoning.
How it works
How a decision becomes verifiable.
Context that group functions or third parties are entitled to see moves into shared memory, so risk teams stop reconciling separate views.
The decision records its reasoning, including thresholds applied, overrides taken, and the person accountable for each override.
The trace is enshrined in the DKG so supervisors and internal audit can verify how an outcome was reached without a reconstruction exercise.
What changes
What this changes in practice.
The change is that audit readiness stops being a project. When the reasoning behind assessments and overrides is captured at execution time, preparing for a supervisory review becomes retrieval rather than reconstruction, and the institution stops paying repeatedly for the same evidence.
It also makes agent adoption defensible. Risk functions block agents they cannot explain; an agent that records its inputs, model version, and governing policy converts that objection into a control that can be reviewed.
FAQ
Questions about financial services.
How does this shorten audit preparation?
Because rationale is captured when the decision is made, evidence is queried rather than reassembled. The work shifts from reconstructing what happened to retrieving records that already exist.
Does this apply to model risk management?
Yes. Traces record which model version and which policy governed a given decision, which is the linkage model risk frameworks expect and the one most often missing in practice.
What about third party and vendor risk under DORA?
DORA focuses on resilience and oversight across providers. Traces enshrined in an open knowledge graph rather than a vendor system mean the institution retains the evidence independently of any single supplier.
Is customer data exposed to other parties?
No. Personal and commercially sensitive context stays in your infrastructure. Counterparties verify that a decision followed policy without gaining access to the underlying customer records.
How does this differ from our existing audit trail?
An audit trail records that a transaction or change occurred. A decision trace records why an outcome was permitted, including the policy, threshold, and override rationale, which is what supervisors actually ask about.
Can this cover decisions made by humans, not agents?
Yes. The same structure records human overrides and approvals, which matters because supervisory questions usually concentrate on exactly those interventions.
Start free
Power up your business with the OriginTrail DKG.
Create Knowledge Assets, build shared context graphs, enshrine decision traces. Open-source infrastructure. Community support. Zero cost.
Go Pro
The full Network Operating System.
Custom agent frameworks (Hermes, OpenClaw, LangChain, Claude). Custom data pipelines. Custom integrations with your enterprise systems. Dedicated infrastructure and support.