Artificial Intelligence · 12.08.2026, 15:25 UTC
Pay with confidence: How Solv Labs built verifiable, auditable agent payments on Amazon Bedrock AgentCore payments
| Schweregrad | info |
|---|---|
| Kategorie | Artificial Intelligence |
| Quelle | AWS Machine Learning ↗ |
| Veröffentlicht | 12.08.2026 UTC |
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This post is co-written with Patrick Duffy from Solv Labs and Houman Shadab from ICME Labs Solv Labs built an AI agent-payments workflow using Amazon Bedrock AgentCore payments, a capability of Amazon Bedrock AgentCore, governed by two layers: ORACLE (Solv’s policy engine) and ICME PreFlight for compliance verification. AgentCore payments provides the payment processing infrastructure. ORACLE enforces authorization policies before each transaction. ICME’s verification layer extends AWS Automated Reasoning Checks to make them privacy-preserving, portable, and independently verifiable, with each decision checkable. As a result, every agent payment runs through three core governance components: ORACLE for pre-authorization decisions, an integrity service running in an AWS Nitro Enclave, and a risk engine for per-transaction pricing. Each transaction completes in under four seconds, covering pre-authorization, governance, and on-chain settlement through Coinbase. Every transaction produces a full audit trail, and that’s well within latency budgets for agentic workloads. The first time an autonomous agent moves real money on behalf of an enterprise, the question is no longer “Did it work?” It is “Can we prove what just happened?” In a single quarter, four pieces of infrastructure that make that question answerable arrived together: Amazon Bedrock AgentCore payments, AWS Automated Reasoning Checks, AWS Nitro Enclaves used as a per-transaction attester, and the x402 payment standard for agent payments to services. Amazon introduced Amazon Bedrock AgentCore payments in May …