Engagements / Scope before scale
Private AI engagements vary with the workload, infrastructure, data, integrations, concurrency, security requirements, and operating responsibility. We scope the environment before recommending an implementation.
Start a BlueprintDetermine what should be built before hardware or platform decisions are finalized.
Workflow analysis, data and permission mapping, model evaluation, infrastructure benchmark, Company Brain architecture, harness architecture, integration map, control architecture, and implementation proposal.
Discuss this engagement →Prove one business workflow end to end using the target architecture.
Private inference, one Company Brain domain, a custom harness, a selected system integration, evaluation, approval workflow, and a controlled user group.
Discuss this engagement →Create a reusable private AI platform for a team or business unit.
Shared private model infrastructure, Company Brain, multiple harnesses or agents, system integrations, identity, permissions, monitoring, backups, evaluations, and handoff.
Discuss this engagement →Design broader multi-system or multi-department private AI infrastructure.
Scope depends on workload, data boundaries, concurrency, integration depth, operating requirements, and the customer environment.
Discuss this engagement →Keep the deployed environment useful and supportable.
Monitoring, patching, model updates, evaluation, connector maintenance, knowledge freshness, harness changes, regression testing, backups, and operating reviews.
Discuss this engagement →Take over an existing local AI, RAG, agent, MCP, model-serving, or automation environment.
Architecture review, stabilization, harness redesign, tool-permission review, integration repair, evaluation creation, monitoring, documentation, and recovery planning.
Discuss this engagement →Hardware, carrier usage, cloud infrastructure, commercial model licenses, and third-party software are separate unless expressly included. Hardware is ordinarily purchased and owned directly by the customer.