Buyer and seller control plane

The governed operating layer for bilateral agentic commerce.

Agentic Commerce Control connects buyer intent with seller capability. It gives businesses one system for agent identity, delegated authority, policy, approvals, catalog and cart boundaries, checkout handoff, fulfillment, evidence, reconciliation, and trust—without requiring sellers to rebuild their existing commerce stack.

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The platform governs the full bilateral lifecycle: Buyer intent → Identity → Delegation → Policy → Approval → Seller discovery → Catalog and availability → Cart → Checkout handoff → Order → Fulfillment → Evidence → Reconciliation. Different protocols and verticals plug into the same control layer.

One governed journey from intent to proof Buyer and seller systems stay in their lanes. AgencyAI carries the authority, policy, approval, adapter, and evidence context across the transaction.
AgencyAI control layerShared context travels across every stage
AuthorityPolicyApprovalAdaptersEvidenceAudit
Plugs intoBuyer agentsMCP / UCP / ACP / x402Seller systemsRetailRegulated servicesPermissioned assets
Buyer controlIntent, identity, mandates, policy, budget, approval
Seller readinessCatalog, availability, cart, checkout handoff, fulfillment
Proof layerReceipts, provenance, order evidence, reconciliation, export
Trust postureIdempotency, replay protection, redaction, audit

What it does

Govern

Controls what agents are allowed to do

Define principals, agent identity, mandates, limits, expiry, revocation, counterparty constraints, and approval requirements before execution.

Connect

Bridges buyers, sellers, and protocols

Typed adapters normalize buyer context and seller capabilities—catalog, availability, carts, checkout handoff, orders, and fulfillment—without letting one rail define the core domain.

Prove

Preserves the evidence of what happened

Receipts, settlement proof, fulfillment, provenance, idempotency, audit events, and redacted exports make outcomes reviewable and reconcilable.

One control plane. Two sides of commerce.

Agentic commerce only becomes useful when buyer agents can act within authority and sellers can participate without replacing the systems that already run their business.

Buyer side

Turn intent into an explainable, approved action

  • Normalize household or business intent into a governed request
  • Evaluate identity, delegated authority, policy, budget, evidence, and counterparty
  • Require approval before consequential execution
  • Reconcile what was intended, carted, ordered, fulfilled, and evidenced
Seller side

Become agent-ready through a governed adapter

  • Expose merchant identity, capabilities, catalog, price, and availability
  • Accept governed cart construction and revalidate price before checkout
  • Return a human checkout handoff while preserving merchant-of-record control
  • Report order, fulfillment, returns, and evidence back to the control plane
AgencyAI is not another storefront, payment processor, or commerce protocol. It is the enablement and governance layer that helps both sides participate in agentic transactions safely.

How it works

1. Define authority

  • Identify the principal, agent, counterparty, and requested action
  • Apply scoped mandates, limits, validity, and revocation
  • Keep the authority context attached to the transaction

2. Evaluate and approve

  • Run deterministic, explainable policy decisions
  • Fail closed on missing, invalid, expired, or revoked authority
  • Route consequential actions to a human approval boundary

3. Execute within a boundary

  • Translate the governed decision through a versioned adapter
  • Preserve idempotency, provenance, and replay controls
  • Keep payment, checkout, custody, and irreversible actions explicitly gated

4. Reconcile and learn

  • Match intent, execution, fulfillment, settlement, and receipt evidence
  • Expose matched, variance, failed, and exception outcomes with reasons
  • Build durable trust and counterparty history from observable evidence

Reference workflows

Retail

Buyer-to-seller commerce

Plan baskets from normalized inventory and price context, enforce budgets and substitutions, discover agent-ready sellers, construct approval-controlled carts, hand checkout back to a human, and reconcile order and receipt evidence.

Regulated services

Auditable service transactions

Apply regulated policy packs and mandates to risk-snapshot workflows, produce redacted evidence exports, and replay a complete transaction locally from intent through reconciliation.

Permissioned assets

RWA control-plane exploration

Model eligibility, attestations, jurisdictions, and transfer restrictions through a deterministic non-custodial simulator before any partner, legal, custody, or real-rail decision.

Built for accountable autonomy

The goal is not uncontrolled automation. It is useful agent participation with clear authority, visible evidence, human accountability, and a safe path to expand only when the proof supports it.

Human-supervised by default

Bounded delegation

Agents receive narrow responsibilities and explicit permissions. Human approval remains required for consequential decisions, checkout, payment, custody, and other irreversible actions.

Current boundary

Pilot-ready, not overclaimed

The implementation is verified across deterministic buyer and seller reference flows and a bounded x402 pilot path. Production merchant integrations, hosting, billing, automated checkout, funds movement, and real RWA execution remain separately gated.

Build agentic commerce that people can trust.

AgencyAI helps teams move from isolated AI experiments to governed agent workflows with shared context, explicit authority, evidence, and human review.

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