Cross-enterprise agent trust

Trust infrastructure for autonomous business.

Axynd enables organizations to safely authorize, govern, and prove transactions between AI agents across enterprise boundaries.

Built for enterprises exploring trusted agent-to-agent workflows with customers, suppliers, partners, and financial counterparties.

Cross-enterprise request
Agent Buyer AP Agent
Verified
Representing Organization A
Attested
Authority Resolve invoice exception ≤ $10K
Valid
Axynd policy decision ALLOW Within delegated authority and counterparty policy
IdentityWho is this agent?
AuthorityWho authorized it?
PolicyDo we allow this action?
ApprovalWhen must a human intervene?
ProvenanceCan both parties prove what happened?
The missing layer

Agents can communicate. Enterprises still need to trust them.

MCP connects agents to tools. A2A enables agents to communicate. IAM establishes identities. But when agents cross organizational boundaries, enterprises still need a way to establish organizational representation, delegated authority, counterparty policy, human approval, and transaction evidence.

Axynd sits above those foundations as the trust and transaction-control layer for autonomous business.

Five questions

Before an external agent acts, an enterprise needs answers.

01

Who does this agent represent?

Verify the agent and the organization behind it, not merely an API credential.

02

What may it do?

Validate short-lived, purpose-bound, counterparty-bound delegated authority.

03

Does our policy permit it?

The receiving organization retains sovereignty and makes the final authorization decision.

04

Does a human need to approve?

Pause consequential actions when they exceed defined autonomy or risk thresholds.

05

Can we prove what happened?

Produce tamper-evident transaction evidence that both counterparties can retain.

Three trust objects

A simple model for governable agent transactions.

Identity, authority, and evidence are deliberately separated so each can have the right lifecycle and risk boundary.

P

Agent Passport

Who are you and who do you represent?

Identity, organization, capabilities, governance status, and cryptographic key binding.

R

Transaction Receipt

What actually happened?

Signed evidence of the request, authority, policy decision, approval, artifacts, and resulting action.

Federated architecture

Each organization keeps control of its agents, data, and policy.

Axynd establishes trust between independently controlled enterprise gateways rather than centralizing proprietary business data.

Where trust becomes valuable

Cross-enterprise workflows with real economic and risk consequences.

Finance

Invoice & reconciliation

Resolve exceptions across buyers, suppliers, custodians, and administrators.

Procurement

RFQ & order workflows

Let agents negotiate and transact within explicit organizational authority.

Supply chain

Partner coordination

Coordinate inventory, logistics, delivery, and exception handling across companies.

Financial services

Counterparty operations

Support governed agent interactions across banks, asset managers, custodians, and service providers.

Insurance

Claims coordination

Govern agent interactions among carriers, providers, brokers, and repair networks.

B2B SaaS

Customer operations

Allow customer and vendor agents to resolve support and operational workflows safely.

First design-partner workflow

Resolve an invoice discrepancy without exposing either company's ERP.

A buyer's AP agent identifies a mismatch. The supplier's AR agent provides authorized evidence. Axynd verifies identity and authority, evaluates both sides' policy, requires human approval when needed, and produces signed transaction evidence.

1

Detect $5K invoice discrepancy

2

Verify counterparty agent and authority

3

Exchange only permitted evidence

4

Evaluate policy: ALLOW / DENY / APPROVE

5

Issue credit and signed transaction receipt

Design partners

Help define the trust model for cross-organizational AI agents.

We are speaking with enterprise security, identity, architecture, finance, and operations leaders about the first production cross-enterprise agent workflows.