Configuration
Selected platform, model and policy configuration against approved architecture.
PRODUCTION IMPLEMENTATION
Move one qualified workflow into controlled production.
Implementation begins only after scope, responsibilities, architecture, acceptance criteria, commercial terms and deployment gates are approved.
IMPLEMENTATION WORKSTREAMS
Build around a named workflow and accountable owner.
Fixed implementation scope protects delivery quality, commercial clarity and the customer decision.
Integration
Named systems, data, identity, tools and failure handling.
Agents & workflows
Role, objective, knowledge, permissions, approvals and escalation.
Testing & evaluation
Functional, quality, safety, reliability, performance and business acceptance.
Controls
Least privilege, audit, budgets, rate limits, monitoring, incident and rollback.
Production transition
Training, operating ownership, go-live, hypercare and Managed AI Operations handover.
RELEASE GATE
Go live only when evidence supports it.
A route, component or successful model response is not production evidence. Release requires acceptance, authority, observability and rollback readiness.
SECURE AI DEPLOYMENT ASSESSMENT
Qualify the workflow before committing to implementation.
Define the workflow, architecture, controls, economics, acceptance criteria and 90-day production route before committing to implementation.