Enterprise AI Partner

When this fits

A team with multiple data sources and processes that needs an AI system with access, answer-quality and operating accountability.

Scope of work

• Map AI workflows and RAG architecture: sources, updates and retrieval.
• Design MCP tools and integrations with existing systems.
• Access permissions, consequential-action confirmation and human handoff.
• Observability, quality controls, provider-cost limits and operating plans.

What your team receives

• Data, model and tool architecture.
• Integration plan and answer-evaluation protocol.
• Access, action-control and team-handover rules.

Inputs for starting

• A priority workflow and process owners.
• Approved knowledge sources and permission model.
• Infrastructure, privacy and provider-spending constraints.

How work is accepted

Test answer sources, insufficient-data refusals, tool permissions and action interruption against agreed scenarios.

Engagement boundaries

Autonomy and headcount savings are not guaranteed. External AI providers, data transfer and financial actions require separate approval.