LABARNAReconciliation · Escrow · Authorization · PolicyREAP · Reconciliation · Escrow · Authorization · Policy
Autonomous agents can already discover, negotiate, and collaborate across organizations. They still cannot pay each other safely at scale.
REAP is the first production-grade system that makes autonomous agent-to-agent commerce possible — policy enforcement, conditional escrow, dispute resolution, and automated reconciliation as one unified protocol.
AI agents are already being deployed in production across healthcare, legal, financial services, logistics, manufacturing, SaaS, and other industries. These agents can discover services, compose workflows, and interact with counterparties. However, when money needs to move between agents — especially across organizational boundaries — the existing infrastructure breaks down.
Current payment systems were built for human-initiated transactions. They assume a person starts the payment, reviews the decision, and monitors the outcome. Compliance systems assume human oversight at key checkpoints. Audit trails assume someone is watching. In an economy where autonomous agents will increasingly transact with each other, these assumptions no longer hold.
A new risk category is emerging: delegated autonomous spending. When agents are given the ability to spend money on behalf of organizations without direct human approval for every transaction, it creates challenges around consent, control, accountability, and compliance that traditional systems were never designed to handle.
The April 2026 SoK paper on agent payments identified a clear four-stage lifecycle — Discovery, Authorization, Execution, and Accounting — where every existing approach fails to address all four stages as one unified system. Without new infrastructure purpose-built for this model, agent commerce will remain limited in scale and scope.
The complete autonomous agent-to-agent payment infrastructure. A 10-step policy-governed authorization pipeline, conditional escrow with a 5-state state machine, automated daily reconciliation, 5-phase dispute resolution, and full exception handling — all before any funds move.
A federated learning layer that improves every decision across the network without exposing any client's data. It continuously sharpens authorization, settlement, dispute resolution, and reconciliation — and gets smarter with every transaction.
Assembles evidence, drafts responses, and files directly to card networks through graduated autonomy gates. Every outcome feeds back into SLPI, creating a continuous learning loop that improves future decisions.
The SoK paper structures agent payments through a four-stage lifecycle. Each stage introduces its own failure modes. No existing infrastructure addresses all four as a unified system.
The complete autonomous agent-to-agent payment infrastructure. A 10-step policy-governed authorization pipeline, conditional escrow with a 5-state state machine, automated daily reconciliation, 5-phase dispute resolution, and full exception handling — all before any funds move.
REAPSTAGE 01 — DISCOVERYHow agents find services, identify counterparties, negotiate terms, and establish communication channels across organizational boundaries.
Solved: Inter-agent communication protocol with 76 inter-agent routes across 21 industry verticals and true multi-tenancy.Every agent maintains a dedicated wallet with separate available and held balances. Wallet operations are fully atomic — no race conditions, no double-spending, no intermediate states visible to any party.
Database-level organization isolation on every table. Fund-level spending policies cascade to portfolio companies while each company can define agent-specific overrides. Cross-organization transactions evaluate both parties' policies independently.
Every settlement event fires HMAC-SHA256 signed webhooks. Endpoints that fail 10 consecutive deliveries are automatically disabled with an alert to the organization administrator.
The compliance layer is embedded in the authorization pipeline itself. A multi-model engine scans real-time regulatory intelligence across US, EU, UAE, and LATAM jurisdictions before any transaction is authorized.
The compliance layer is embedded in the authorization pipeline itself.
×Transaction happens first
×Audit catches problems weeks later
×Assumes human initiated the payment
×Assumes human reviewed the decision
×Compliance is a cost center
×Retrospective enforcement
✓Compliance checked before authorization
✓Violations blocked in real time
✓Spending policies replace human initiation
✓Human escalation automatic above thresholds
✓Compliance is infrastructure
✓Predictive enforcement
When agents needed to transact with each other, we built seven dedicated payment agents that treat authorization, execution, and accountability as a single integrated system.
Every payment request passes through a dedicated authorization agent before any money moves. The authorizer evaluates each request against organization-specific spending policies that encode human judgment into machine-enforceable rules.
01Once authorized, a dedicated settlement agent executes the transaction. The system separates payment finality from service delivery confirmation through three distinct settlement modes.
02Runs daily and answers one question: did every payment correspond to a legitimate service that was actually delivered? It cross-references every settled transaction against its service delivery record and flags discrepancies automatically.
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