Discovery and architecture
Map the operation, institutional roles, interfaces, data ownership, failure modes, controls, and implementation requirements. The result is a decision-ready architecture and delivery plan.
Engagements
Responsibility defines the engagement.
Payment and corridor work is scoped around the systems, institutions, interfaces, and operating risk involved. We establish the boundary before we establish the work.
How we work
Choose the responsibility the operation needs.
Each model can stand alone or form part of a longer delivery sequence.
Design and implementation
Turn a defined operating problem into working services, gateways, workflows, data systems, and operator tools, with production acceptance criteria established up front.
Integration and modernization
Connect providers and institutions, replace fragile interfaces, migrate critical services, and improve transaction or event handling without losing operational continuity.
Managed operation and support
Monitor production behavior, maintain integrations, respond to failures, manage schema and provider changes, and improve the system from measured usage.
Focused assessments
Answer a bounded technical question with evidence and a ranked action plan. The Agent Production Audit is the fixed-scope offer for teams running or preparing to ship an AI agent.
View the Agent Production AuditScoping inputs
What determines the work.
- The operation and outcome the system must support
- The institutions, providers, and systems involved
- The interfaces, environments, data access, and permissions available
- The financial, regulatory, and organizational consequences of failure
- The production owner, timeline, and acceptance process
We provide a specific scope and commercial proposal after these inputs are understood. The Agent Production Audit keeps its fixed price on the audit page.
Start with context
Tell us what is moving and where it stops.
Describe the operation, the systems on either side of the boundary, and what is failing or changing.