A2A and agentic commerce

Agent-to-agent workflows for real service operations.

Mirai's A2A posture is simple: let external agents discover and delegate WhatsApp revenue work, while Mirai keeps approval, idempotency, audit, tenant isolation, and customer-visible outcomes under control.

Agent-readable surface

Mirai exposes llms.txt, agents.json, OpenAPI, and task-first docs so external agents can understand fit, non-fit, and capability boundaries.

Conversion session

A calling agent can start a revenue workflow around booking, quote, campaign follow-up, loyalty, or operator handoff.

Approval boundary

Risky actions pause for operator approval, dry-run, or handoff. AI does not become the system of record.

Payment-ready, not payment-reckless

Mirai follows agentic commerce direction without claiming unsupported autonomous payment execution or raw money movement.

Mirai handoff model

Discover, delegate, approve, commit.

This is the safe A2A shape for F&B and clinics: agents can help customers get things done, but confirmed outcomes still pass through Mirai's governed business layer.

1

Agent discovers Mirai

Fetch /llms.txt, /agents.json, /developers/openapi.json, and fit criteria.

2

Agent requests a task

Create or resume a conversion session with customer context and scoped credentials.

3

Mirai checks policy

Tenant, budget, channel, approval, and idempotency rules decide what can happen next.

4

Outcome is committed

Approved bookings, messages, vouchers, or handoffs are executed through governed tools.