Workflow, systems, risk, success criteria
Discover
We observe the current state, inputs, exceptions, owners, and commercial reason for changing it.
How we work
The process is designed to make ownership, risk, and production behavior clear before autonomy expands.
Workflow, systems, risk, success criteria
We observe the current state, inputs, exceptions, owners, and commercial reason for changing it.
Five-layer architecture and autonomy boundaries
We select the role, triggers, reasoning, tools, memory, guardrails, deployment model, and evaluation plan.
Integrations, environment, tests, logging, rollout
We connect approved systems, implement controls, run edge cases, document assumptions, and introduce the agent gradually.
Monitoring, evaluation, training, improvement
We review failures, drift, cost, user behavior, tool coverage, and approval patterns under change control.
Delivery ranges
A narrow pilot can move quickly. A regulated, multi-system production deployment requires deeper review, evidence, and rollout control.
One workflow, key stakeholders, current systems, first-scope recommendation.
One role, one primary workflow, limited integrations, controlled users, measurable success criteria.
Broader integration, security review, documentation, training, rollout, and operational ownership.
Acceptance before expansion
Does the agent choose the right path, communicate uncertainty, and escalate correctly?
Are writes idempotent, permissions scoped, retries safe, and failure states visible?
Does retained context belong to the right client, source, purpose, and time window?
Can a trained operator inspect, pause, recover, update, and explain the system?
AI Readiness Audit
In one working session, we map the workflow, systems, approval boundaries, risks, and the most useful first deployment.