Your quality system asks
Is the software validated and the model qualified for its intended use under GxP?
Pharma teams run AI across discovery, clinical, safety and quality. KYE Protocol™ proves whether each pharma AI action — a nucleic-acid synthesis order, a trial-protocol decision, a safety-signal disposition, a batch or clinical-result release — was authorised, purpose-bound, evidenced, replayable and final. A model can be validated to GxP and still act without authority.
You learn: What happens at each step. You can: Step through it.
Step 1 of 6
KYE Protocol™
Authority Gateway™
Runtime allow / deny / require approval / suspend at the action boundary.
Step 2 of 6
KYE Protocol™
Purpose Permission™
Binds each action to a permitted purpose and data scope.
Step 3 of 6
KYE Protocol™
Decision Map™
Inputs, policy, model, human override, verdict and obligations for one decision.
Step 4 of 6
KYE Protocol™
Evidence Pack™
Signed proof of actor, mandate, data, purpose, SOP version, approval and finality.
Step 5 of 6
KYE Protocol™
Replay-Proof™
Offline reconstruction of why an action was allowed or blocked, from public keys alone.
Step 6 of 6
KYE Protocol™
Entity & Principal Registry
Investigator, sponsor, AI agent, service account, vendor and workflow as governed principals.
KYE™ is not another lab platform, CTMS, safety database or model-validation tool. It is the authority layer underneath them: the runtime control point that decides whether an AI agent's proposed pharma action has authority, then emits a signed, replayable record. GxP asks whether the system is validated; KYE™ asks whether this specific action was authorised, by whom, under which SOP version — the answer a regulator can replay years later.
Your quality system validates the software and qualifies the model. KYE™ governs the action boundary: the instant an AI agent proposes a consequential pharma action, KYE™ checks actor, mandate, purpose, data scope, SOP version, policy, risk, human sign-off and finality, then returns allow / deny / require_approval / suspend.
Is the software validated and the model qualified for its intended use under GxP?
When the AI acts, can you prove who authorised it, under what mandate, purpose, SOP version and evidence — and whether it became final?
The authority questions are banking-grade for regulated pharma: Is this agent allowed to release a batch, disposition a safety signal, or approve a protocol deviation? Who delegated that authority? Is the action advisory, or did it update a validated system of record? Can the decision be replayed for an inspector, sponsor, ethics committee or litigation years later? Every KYE™ answer maps to a real regulatory spine and a signed evidence record.
You do not adopt a new framework — you bind the packs that already exist. Each pack governs a pharma action vertical against its real regulatory spine: EMA GVP, ICH E6(R3) GCP, FDA 21 CFR Part 11, OECD GLP, FDA 21 CFR Part 58 and nucleic-acid synthesis screening. Pick the verticals your AI touches.
Where you deploy AI, KYE™ ships the per-action authority agents that govern it. Each is a first-class principal with a delegation chain, a KYE™ Evidence Pack™ and a Replay-Proof™ trail — so a quality lead, inspector or sponsor can reconstruct any decision offline.
If you run an AI platform across discovery, clinical operations, safety or quality, KYE™ is the authority layer beneath your agents. Your platform orchestrates the science and the workflow; KYE™ proves the workflow stayed inside authority. This governs the decision, not the bench — KYE™ never runs the assay, the trial or the model.
The integration is a runtime check: your agent proposes a consequential action, KYE™ evaluates actor, mandate, purpose, data scope, SOP version, policy, risk, human sign-off and finality through the Evidence Pack™ chain, and returns a verdict your platform continues, escalates or blocks on. A digital R&D lab can execute; KYE™ decides whether execution has authority.
If you run trials, own safety, or file with regulators, KYE™ governs every consequential AI action across the study and the submission. A validated summary is not the same as an authorised release, and an AI can draft a perfect narrative and still lack authority to disposition a case or release a result.
KYE™ binds each agent to a mandate and a purpose, then gates the moment it tries to disposition a safety signal, approve a protocol deviation, release a clinical result or advance a submission decision. Every gated action emits a signed record that an inspector, sponsor, ethics committee or litigation can replay — so "the AI did it" is never the end of the trail.
Every pack and agent above resolves to the same runtime primitives — so you govern discovery, clinical, safety and quality through one control point, not four. KYE™ reuses these primitives; it never reimplements them per vertical.
Runtime allow / deny / require approval / suspend at the action boundary.
Binds each action to a permitted purpose and data scope.
Inputs, policy, model, human override, verdict and obligations for one decision.
Signed proof of actor, mandate, data, purpose, SOP version, approval and finality.
Offline reconstruction of why an action was allowed or blocked, from public keys alone.
Investigator, sponsor, AI agent, service account, vendor and workflow as governed principals.
The result is one provable answer for every patient- and product-impacting action: who had authority, for what purpose, with what evidence, and whether it became final under Authority Finality™.
Canonical KYE™ surfaces referenced on this page: KYE Protocol™ · Purpose Permission.