Scoped engagements from discovery to deployment

A scoped assessment of the AI opportunity—aligned outcomes, constraints, and realistic sequencing before capital commits.

• Stakeholder interviews and workflow mapping for highest-impact use cases
• Source-system and document readiness review
• Target architecture recommendation (retrieval, agents, integrations)
• Roadmap with milestones, risks, and acceptance criteria

End-to-end production build: ingestion through grounded responses—with evaluation loops designed for regression-safe iteration.

• Ingestion pipeline design for your formats, freshness rules, and access boundaries
• Vector store configuration, chunking strategy, and retrieval policies
• LLM integration with citations, fallback behaviors, and observability
• Deploy-ready APIs or embedded UX patterns matched to your stack

Automation that executes multi-step processes via n8n or Python services—wired into RAG outputs and enterprise tools.

• Orchestration for approvals, ticketing, CRM updates, or proprietary APIs
• Guardrails for retries, timeouts, secrets handling, and escalation paths
• Monitoring dashboards and structured logs for operational review
• Operator documentation for safe changes after handoff