Pelayo OS is the Decision Provenance Operating System for regulated organizations. It governs not what AI decides, but how, why, who, and when.
Regulators are asking. Boards are liable. Courts are ruling. The EU AI Act, SEC disclosure rules, and sector-specific guidance all converge on one question: “Why did your AI make that decision, and can you prove it was made correctly?”
Most organizations have:
What they don't have:
The gap is not AI capability.
The gap is Decision Provenance.
Model governance asks: “Is the model fair, accurate, and safe?” Decision provenance asks: “Can you reconstruct every step, from the data that entered to the person who is accountable, and prove it was valid at the time?”
Pelayo OS wraps every AI-driven decision in a seven-layer governance stack:
What data was used? Where did it come from? When was it last validated?
Which reasoning engine rendered the decision? Is it the right tool for this class?
What systems executed it? APIs, workflows, integrations?
What governance rules, skills, and constraints were active?
How was the decision orchestrated? Agents, loops, orchestration?
What did it cost? What was the latency? Were there anomalies?
Who approved it? What is the evidence chain? Who is liable?
Every decision governed by Pelayo OS passes through seven layers, from the raw truth of the inputs to the immutable accountability of the ledger.
“What did the decision know?”
Output: A certified input package, every datum tagged with origin, age, and trust score.
“What reasoned the decision?”
Output: The right model, for the right decision, with the right constraints.
“What executed the decision?”
Output: A complete instrument record, every tool invoked, every parameter passed.
“What governed the decision?”
Output: The rule context at the moment of decision, frozen and hash-signed.
“How was the decision orchestrated?”
Output: A full orchestration log, who did what, when, in what order.
“What did the decision cost?”
Output: Operational intelligence, every decision measured, every trend flagged.
“Who owns the decision?”
Output: An immutable ledger entry, defensible in court, legible to a board, auditable by a regulator.
A decision without an expiration date is a liability without a horizon. Pelayo OS assigns every decision a half-life based on its stakes.
| Decision class | Half-life | Examples | Revalidation SLA |
|---|---|---|---|
| Strategic | 180 days | M&A, board resolutions, capital allocation | 72 hours |
| Operational | 90 days | Credit approval, hiring, procurement, clinical support | 24 hours |
| Tactical | 30 days | Routing, scheduling, content moderation, inventory | 4 hours |
Triggers include: regulatory or policy changes, model drift or performance degradation, cost anomalies or telemetry thresholds, human override or incident escalation, scheduled expiration.
Claude today. Kimi tomorrow. GPT-5 next quarter. Pelayo OS decouples the decision from the model. Change L1 without losing L0–L6. Your governance layer persists. Your accountability endures.
Supported integrations:
226+ governed decision protocols across 6 domains.
HMAC-signed immutable state logs, tamper-evident by default.
Red Team hardened, every protocol stress-tested for failure modes.
Cost governance: unit-cost mandate, context budgets, vendor subsidy hedges.
FRACTAL L0/L1/L2: every protocol has entry, execution, and mastery tiers.
Hash-chain enforcement, every decision linked to its predecessor.
Book a 30-minute architecture walkthrough. We'll map one of your high-stakes decisions through L0–L6 and show you where your current gaps are.
If an AI decision affects a person's livelihood, health, freedom, or capital, it needs a trail.
“If a regulator, a judge, or a board member asks you why your AI made a decision that affected a person's livelihood, their health, or their capital, can you prove it was the right decision, made the right way, by the right rules, at the right time, with the right accountability?”
Pelayo OS is the only answer that starts with:
“Yes. And here is the evidence chain.”