Audit the corpus
Understand authority, freshness, access, duplication, and missing knowledge.
Make institutional knowledge usable at the moment of work
Connect fragmented documents and data to fast, sourced answers and decision-ready workflows.
We design the content model, retrieval layer, permissions, and answer experience as one system—so trust is inspectable, not implied.
what changes when it works
- Faster access to the right internal evidence
- Answers linked back to their sources
- Permissions preserved across the retrieval path
- A measurable view of coverage and answer quality
what the work includes
- Knowledge inventory and source quality assessment
- Content model and ingestion pipeline
- Retrieval, ranking, and citation system
- Search or assistant experience
- Evaluation, analytics, and content governance
how we move from uncertainty to use
Design retrieval
Tune structure, chunks, filters, ranking, and citations against real questions.
Close the loop
Use failed searches and weak answers to improve both the system and the source material.
this is likely useful when
- People repeatedly ask experts questions the organisation has already answered.
- Knowledge is spread across documents, tools, and teams.
- Search returns files when people need decisions and evidence.
before we start
Is this just RAG?
Retrieval is one layer. Source governance, permissions, interface design, evaluation, and maintenance determine whether it works.
Can answers cite sources?
Yes. Source attribution and freshness are core acceptance criteria, not optional polish.
What about sensitive content?
We preserve source permissions and design data handling around the sensitivity of each system.
proof before expansion
Each delivery stage should leave usable evidence about the work, the system, and the team that will own it.
task evidence
Real examples show whether the system improves the named workflow and where it still fails.
operating evidence
Quality, latency, cost, permissions, escalation, and recovery are visible before scope grows.
ownership evidence
The code, decisions, infrastructure, tests, and runbook support durable client control.