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ExecutionProof™
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About ExecutionProof™
ExecutionProof™ is a pre-execution governance layer designed to verify consequential AI actions before they are executed. It operates as an independent gate that checks agent identity, authority, invoice evidence, vendor approval, amount limits, and current policy before any payment rail is called. The system returns ALLOW, HOLD, or DENY decisions based on verification results, ensuring only authorized and evidenced actions proceed. ExecutionProof does not process payments or replace existing payment processors like Stripe; instead, it sits upstream to determine whether an AI agent’s action is authorized and within policy. The tool enforces governance boundaries such as preventing self-approval, requiring independent approvals for held payments, and generating tamper-evident ProofRecords for audit purposes. It is currently deployed as a live verification API and is pilot-ready for AI-agent payment workflows, with plans to expand governance to other irreversible actions like deployments, access changes, and data release.
Key features
- Pre-execution verification of AI-agent actions
- Identity and authority verification
- Invoice and vendor validation
- Policy and limit checks
- Independent approval enforcement
- Tamper-evident ProofRecord generation
- Hardware-backed cryptographic signing
- Pilot-ready live verification API
Use cases
- Governance for AI-agent vendor payments
- Preventing unauthorized AI-agent transactions
- Audit-ready compliance for financial AI actions
Pros
- Independent pre-execution governance layer
- Tamper-evident ProofRecords for audit trails
- Prevents self-approval and enforces independent approvals
- Hardware-backed cryptographic signing for ProofRecords
- Pilot-ready live verification API
Cons
- Limited to pilot deployment stage
- No public ledger anchoring for ProofRecords yet
- Currently supports only AI-agent payment workflows
Frequently asked questions about ExecutionProof™
What does ExecutionProof™ do?
ExecutionProof™ is a pre-execution governance layer that verifies AI agent actions before they are executed, such as vendor payments. It checks agent identity, authority, invoice evidence, vendor approval, amount limits, and current policy, returning ALLOW, HOLD, or DENY decisions before any payment rail is called.
Who should use ExecutionProof™?
The tool is designed for fintechs, enterprise finance teams, and payment automation providers looking to govern consequential AI actions like payments, deployments, or data releases. It is particularly useful for organizations seeking to enforce governance boundaries and audit trails for AI-driven workflows.
Does ExecutionProof™ process payments or replace payment processors like Stripe?
No, ExecutionProof™ does not process payments or replace existing payment processors. It operates as an independent gate upstream of the payment rail, determining whether an AI agent’s action is authorized and within policy before the payment processor executes the transaction.
How does ExecutionProof™ handle self-approval attempts by AI agents?
ExecutionProof™ blocks self-approval attempts by design. The entity that initiates an action cannot approve that action, and the gate enforces this rule independently of policy configurations. Human approval from two distinct authorized approvers is required for held payments to be released.
What kind of records does ExecutionProof™ generate for audits?
ExecutionProof™ generates tamper-evident ProofRecords for each decision, capturing the full chain of verification, including agent identity, authority, invoice evidence, vendor details, amount limits, and approval steps. These records are signed with hardware-backed cryptographic methods and stored in a hash-linked proof chain.
How can I get started with ExecutionProof™?
Prospective users can book a call or explore pilot opportunities by visiting the ExecutionProof™ website. The tool is currently available as a live verification API and is pilot-ready for AI-agent payment workflows, with onboarding for design partners actively in progress.
