Introducing a new category
For three years, the industry built better models. Nobody built the infrastructure to govern what those models decided.
Xanthos works at this gap — between the prediction and the decision, between the model and the accountability.
The distinction that matters
What the model does
It outputs a score, a probability, a ranking. That output is shaped by training data, feature engineering, and threshold calibration — none of which are visible in the final number.
What a decision requires
Context. Policy constraints. Human authority. A record that captures not just what happened, but why — and who was accountable for acting on it.
What is missing
A system of record that spans the full journey: from raw input to agentic inference to policy application to final outcome. Without it, accountability is an aspiration, not a capability.
Proof the category is real
Explainability Failure
"We rejected a loan — but can't explain why."
Visibility Failure
"We have logs — but no idea what decisions were made."
Control Failure
"We added guardrails — they don't work."
Regulatory Panic
"We built it — now we need certification."
System Complexity
"The model is fine — the system is not."
Business & ESG
"AI decisions are affecting revenue — we can't trace how."
Failure & Incidents
"We can't investigate what went wrong."
The Emerging Reality
"AI is becoming the decision layer of the enterprise."
Latest thinking
19 April 2026
In a multi-agent lending stack, the final "Approve" is just the last step in dozens of micro-decisions. When responsibility is dispersed across an entire orchestration, traditional audit logs only show you the final link — not the chain.
18 April 2026
Regulators are drawing a hard line between a model's output and the decision that follows it. The ICO's new test for human oversight means clicking "Approve" because the model said so is no longer enough — legally or operationally.
17 April 2026
The FCA's new transparency mandate sounds straightforward: explain the decision. In practice, most lenders are reconstructing — not recording — their AI reasoning. Under SM&CR and the EU AI Act, plausible is no longer defensible.
Whether you are preparing for a regulatory audit, designing your first Decision Record, or rethinking your entire AI governance stack — start here.
Explore the framework