Turn slides, reports, and notes into a living engagement graph.
AIAM Graph RAG connects past deliverables, interview notes, and research PDFs so teams can answer client questions with reusable, well‑sourced insights.
- “How have we framed X strategy for clients in Y industry over the past 3 years?”
- “Summarize key benchmarks cited across these five past projects.”
- “What were the main risks and mitigations recommended for similar transformations?”
Faster ramp‑up on new work
When a new engagement starts, instantly surface what the firm has done before on similar problems and industries.
- Cross‑project retrieval over decks, memos, and notes.
- Question templates for common strategy topics.
A real knowledge graph
Go beyond shared drives by capturing relationships between topics, industries, and deliverables in Neo4j.
- Entity and keyword graph for firm‑specific concepts.
- Multi‑turn chat for curating reusable insights.
Cross‑document synthesis
Ask complex questions that span third‑party reports, internal studies, and previous client work.
- Table‑aware retrieval for benchmarks and KPIs.
- Coverage‑aware expansion for broad topics.
- Partners and engagement leaders preparing narratives and proposals.
- Project managers stitching together workstreams and findings.
- Associates and analysts doing day‑to‑day research and synthesis.
- Knowledge managers responsible for firm‑wide content reuse.
Consulting work is long‑form, multi‑document, and often reuses patterns. Our system understands how to search across engagement histories and bring together the most relevant pages, tables, and notes into one coherent answer.
Instead of every team starting from scratch, you get a research copilot that remembers what the firm already knows – and can explain where that knowledge came from.
Try multi‑turn consulting Q&A