What we examine
- Applications, workflows, data sources, and existing AI usage
- User, application, and agent identities
- Integration constraints and operational responsibilities
Engagement
Governed AI Architecture & Implementation
Design and implement AI agents and integrations with approved data access, action permissions, and an operational handover.
The starting point
Architecture that can be operated.
An AI pilot can work in isolation and still fail when it reaches production systems. Access, integration, data boundaries, and ownership need to be designed together.
What we change
- Define target architecture and approved agent actions
- Modernize interfaces and integrate models, tools, and data
- Implement access controls, approval points, and operating records
What you receive
- Current-state system map and target architecture
- An agreed implementation scope with control requirements
- Working integrations, verification evidence, and operational handover
Defined scope. Clear boundaries.
Delivery depends on your systems, access, licensing, and agreed scope. Findings are not a certification of compliance, and a service description is not a guarantee of a particular outcome.
Before you start
What does governed AI implementation include?
Governed AI implementation connects a defined business workload to a technical architecture and an operating model. The scope can include agent identity, source permissions, APIs, approval gates, exception handling, evidence, and ownership. The controls are designed alongside the integration, then checked with allowed and denied scenarios.
What should be available for the first conversation?
Bring a general description of the systems, the decision you need to resolve, the current stage of work, and the owners who can agree on access and scope. Establish a secure exchange process before sharing detailed architecture or sensitive records.
What does a useful handover contain?
The agreed scope defines what will be delivered. For this engagement, the starting deliverables are:
- Current-state system map and target architecture
- An agreed implementation scope with control requirements
- Working integrations, verification evidence, and operational handover
Verification evidence, operating responsibilities, and unresolved dependencies should be clear before the work is handed over.