Verified workflows
Design agents and automations around explicit state, approvals, logs, tests, and rollback paths.
Verdify designs and implements AI systems where agentic work, deterministic controls, telemetry, and human approval need to operate as one accountable workflow.
Operating model
Practice areas
Verdify works at the boundary between enterprise workflows, physical systems, and AI agents that must prove their work.
Design agents and automations around explicit state, approvals, logs, tests, and rollback paths.
Turn ambiguous AI opportunities into scoped production systems with durable interfaces and measurable controls.
Connect telemetry, devices, and operational constraints to software that can be inspected and trusted.
Use controlled-environment proof to demonstrate feedback loops, monitoring, and real-world automation.
How we work
The goal is not just to make AI produce output. The goal is to make the work inspectable enough that a responsible operator can trust, correct, and improve it.