Frame
Define the process, baseline and success criteria.
Output: opportunity brief + scopeCapability / 03
Enterprise AI Search & RAG Development
Enterprise search and retrieval-augmented generation (RAG) development that lets staff find answers across approved company documents. Deliver cited responses, source updates and permission-aware access.
Where it fits
Every answer grounded.
For organisations whose answers are spread across shared drives, policies and internal platforms.
What we can build
01Find policy answers with citations to approved sources
Start with a defined input and a measurable outcome.
02Help staff navigate standard operating procedures
Connect the work to approved knowledge and tools.
03Assemble research briefs from permissioned company material
Keep exceptions and handoffs visible to the team.
What we need from you
A source inventory, document owners, access groups and a set of real questions with expected answers.
What you receive
A retrieval pipeline, source synchronisation, a permission-aware interface and an answer-quality evaluation set.
Designed-in controls
When the evidence is missing or conflicting, the copilot should say so. Access is checked before retrieval and response.
How success is measured
Answer correctness, citation support, retrieval coverage and source freshness.
Can this start with a smaller scope?
Yes. A bounded workflow lets the team test data readiness, quality and adoption before expanding to additional processes.
How do you handle errors?
We agree confidence thresholds, review queues, escalation rules and recovery behaviour as part of the design. The system is tested against difficult cases before rollout.
The build protocolFrom one bottleneck
From one bottleneck
to a working system.
Clear decisions at each stage. Progress measured against the operation, not the number of features shipped.
Connect
Map knowledge, tools, permissions and handoffs.
Output: system architecture + access planProve
Test representative cases, failures and human escalation.
Output: evaluated workflow + acceptance criteriaOperate
Roll out with ownership, monitoring and improvement.
Output: runbook + performance reviewStart with the friction
Bring us the work that should move.
Show us one process, the inputs it depends on and the outcome it should create. We will map the system around it.
Start a working session