Refunds & payments
Money or balance state changes where identity, amount, eligibility, retry and resulting-state evidence must remain coherent.
Where the method applies
The risk changes when the agent starts changing the world.
BitEvo focuses on consequential action chains: the points where an AI-enabled workflow writes to a system of record, moves money or account state, changes a booking or order, communicates externally, or modifies code and infrastructure.
Action classes
Different business effects. Same evidence discipline.
Orders & subscriptions
Cancellation, replacement, address changes, subscription updates and other writes across commerce systems.
Reservations & bookings
Create, modify or cancel reservations while availability, guest identity and booking parameters can change.
Accounts & CRM
Customer/account records, qualification state and operational writes where object binding matters.
External communications
Email, SMS, voice or other messages that create a real customer-facing effect.
Code, configuration & deployment
Repository, infrastructure and deployment actions where a coding agent gains consequential authority.
Eight owner questions
Before expanding autonomy, make the boundary explicit.
- Which identity actually performs the action?
- Which customer, order, booking, account or resource is the action bound to?
- What evidence must exist before the action may proceed?
- Which actions require human confirmation?
- What happens if parameters change after approval?
- What happens if the downstream system succeeds but the response times out?
- Can retry or replay duplicate the effect?
- Can the final state be independently reconstructed later?
Start small
You do not need a system-wide audit to test one consequential decision.
The fixed $1,500 Entry Audit deliberately narrows the engagement to one action chain and one primary hypothesis. Broader MCP, coding-agent, reliability or workflow work follows only when the first evidence creates a reason to expand.
Open Entry Audit