Organizations preparing for a pilot, internal tool, local inference setup, retrieval workflow, or controlled vendor rollout.
Service scope
Architecture and Solution Planning
Turn an approved AI direction into a concrete architecture, tool plan, implementation sequence, and acceptance criteria.
A team has momentum but no defensible plan for models, runtime, data flow, permissions, evaluation, deployment, or handoff.
What should be built, bought, configured, tested, and deferred.
A full build, security accreditation, or permanent managed service unless separately scoped.
Inputs needed
- Approved use case and success criteria
- Technical environment and integration points
- Data sources, access rules, and operating constraints
- Preferred vendors, open-source tools, or local hardware candidates
Work performed
- Define the target architecture and operating boundaries
- Compare viable implementation paths and tradeoffs
- Specify acceptance criteria and validation evidence
- Prepare a staged implementation backlog
Client receives
- Architecture brief
- Model, runtime, and tool recommendation record
- Acceptance criteria
- Implementation sequence and handoff notes
Next action
Request a planning call after the deployment-fit decision is clear.
Start with enough context to determine whether this is the right scope or whether a narrower assessment should come first.