Your platform asks
How does the bank run channels, employees and AI agents as one operating layer?
Banking platforms run agentic banking. KYE Protocol™ proves whether each agentic banking action — advice, servicing, credit, payment, complaint, refund or approval — was authorised, purpose-bound, evidenced, replayable and final. A bank can have a unified frontline and still fail to prove the right actor had authority at the moment of action.
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, policy, 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
Customer, employee, AI agent, service account, vendor and workflow as governed principals.
KYE™ is not another banking OS or agent platform. It is the authority layer underneath them: the runtime control point that decides whether an agent's proposed action has authority, then emits a signed, replayable record. When an AML agent closes an alert, KYE™ proves who authorised it — cutting exam-prep from days to minutes.
Your platform coordinates the frontline — customers, employees and AI agents across digital channels and operations. KYE™ governs the action boundary: the instant an agent or employee proposes a consequential banking action, KYE™ checks actor, mandate, customer consent, purpose, scope, policy, risk, approval and finality, then returns allow / deny / require_approval / suspend.
How does the bank run channels, employees and AI agents as one operating layer?
When those agents act, can the bank prove who authorised it, under what mandate, scope, purpose and evidence — and whether it became final?
The authority questions are banking-grade: Is this agent allowed to initiate this workflow? Who delegated that authority? Is the customer consent valid for this purpose? Is the action advice, servicing, credit, payment, complaint or final decision? Did the output stay advisory, or did it update a system of record? Can the decision be replayed for a regulator, auditor, ombudsman or litigation years later?
You do not adopt a new framework — you bind the packs that already exist. Each pack governs a banking action vertical against its real regulatory spine: ECOA/Regulation B, FCRA, Fed SR 11-7, FCA Consumer Duty, FCA CONC, MAS guidance and the EU AI Act™. Pick the verticals your agents touch.
Where you deploy agents, KYE™ ships the per-action authority agents that govern them. Each is a first-class principal with a delegation chain, a KYE™ Evidence Pack™ and a Replay-Proof™ trail — so a CISO or auditor can reconstruct any decision offline.
If you run a Banking OS that coordinates customers, employees and AI agents as one frontline, KYE™ is the authority layer beneath your agents. Your platform orchestrates the journey; KYE™ proves the journey stayed inside authority.
The integration is a runtime check: your agent or employee proposes a consequential action, KYE™ evaluates actor, mandate, consent, purpose, data scope, policy, risk, approval and finality through the Evidence Pack™ chain, and returns a verdict your platform continues, escalates or blocks on. A Banking OS can execute; KYE™ decides whether execution has authority.
If you power banking agents — conversational, agentic or operations-facing — KYE™ governs every consequential action those agents take. A trusted banking answer is not the same as an authorised banking action, and a banking agent can understand the customer perfectly and still lack authority to act.
KYE™ binds each agent to a mandate and a purpose, then gates the moment it tries to refund a fee, initiate a payment, pre-approve a loan, change an account detail or escalate a complaint. Every gated action emits a signed record that a regulator, ombudsman or customer dispute can replay — so "the agent did it" is never the end of the trail.
AI can help a credit union lend faster, work leaner and manage risk better. KYE™ proves each lending action stayed inside authority — so your lending, risk and operations leaders deploy AI actions they can defend to an examiner.
Credit unions and community banks start with the KYE™ Agentic Lending Authority Pack™, which already lists credit unions among its adopters and governs underwriting, adverse-action and arrears decisions under ECOA, FCRA and Fed SR 11-7. You do not just need AI adoption — you need AI actions you can defend.
Every pack and agent above resolves to the same runtime primitives — so you govern lending, payments, AML and servicing through one control point, not seven. 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, policy, approval and finality.
Offline reconstruction of why an action was allowed or blocked, from public keys alone.
Customer, employee, AI agent, service account, vendor and workflow as governed principals.
The result is one provable answer for every customer-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.