Map the sources
Identify authoritative documents and records, their owners, update frequency and permitted users. Agree on formats, connectors, exclusions and what happens when a source is changed or deleted.
AI systems engineering capability
Intelligent search and data systems
Data ingestion, source mapping, search, retrieval, RAG, multi-source research, dashboards, permissions, lineage, and source evidence.
All services Explore services Discuss an AI system
A focused first build
Make company information searchable and usable
For product and technical teams building search, a research interface or a retrieval-augmented assistant over an agreed set of company sources.
Build retrieval and the interface
Scope ingestion, indexing, filters and search results around the questions users need to answer. Add generated answers when they help the task, with links back to the supporting source material.
Evaluate on your information
Prepare representative questions and expected sources. Review retrieval relevance, answer support, citations, latency and cost. Include missing, contradictory and stale information in the test set.
Enforce access and uncertainty
Apply the user’s access rules before information enters a result or model context. Define when the system should say it cannot answer, request clarification or hand the question to a person.
Budget and delivery scope
Our target for an initial scoped engagement is USD $5,000–$20,000, with longer projects possible. The proposal determines which deliverables fit the budget. Additional data cleanup, integrations, interfaces or operating requirements may need a separate phase. Model usage, hosting and ongoing support are estimated explicitly.
This range describes the engagements we are looking to scope. It is not a market average, a fixed package price or a guarantee that every product can be completed within it.
Prepare a useful first brief
Bring sample sources, representative questions, user roles, access rules, update requirements and the owner who can judge whether a result is useful. Include the budget and target date so dependencies and acceptance can be considered before committing to a schedule.
Compare orchestration and retrieval choices →
Retrieval needs its own evaluation on your sources. For the broader application work behind a reviewed AI workflow, see the Attuned Health case study.
Discuss this build →