Find it. Check it.
Ask questions in ordinary language and follow the supporting sources. When the evidence is missing or uncertain, the system should flag that and route the question for review.
Help your team find answers and prepare work from approved procedures, policies and project knowledge. Sources stay visible, access rules apply and important outputs stay under human review.
Procedures, pricing, customer knowledge and useful answers often sit across documents, inboxes and people’s heads. We connect approved sources to an AI knowledge system that helps staff find answers and draft work, with access rules and visible sources built in.
Check the request is complete, assign an owner and prepare a draft response. Have a person review it before sending.
Example process: review the incoming details, ask for missing information, assign the enquiry and prepare a response for approval. This sample illustrates a source link; it is not connected to company documents.
Ask questions in ordinary language and follow the supporting sources. When the evidence is missing or uncertain, the system should flag that and route the question for review.
Prepare customer replies, quote notes, handovers and summaries using approved company information. A person checks important work before it is sent or recorded.
Apply user permissions and client boundaries when retrieving information. Assign source owners, keep current versions clear and provide a way to correct or withdraw outdated material.
Knowledge, connected.
Bring information into context, with sources people can check.
Choose the team, questions, sources, owners and access boundaries.
Remove duplicates and identify current, authoritative material.
Retrieve relevant information within each user’s permissions.
Check 20–30 real questions, restricted cases and difficult examples.
Agree updates, feedback, monitoring and a correction process.
This is usually a system that retrieves the right approved information when it is needed, rather than a new model trained on every company file. Sources, permissions, freshness and evaluation are part of the work. Hosting and any AI usage costs are assessed during scoping.
Begin with one team, a defined source set and 20–30 real questions.
A useful starting point: one team and a defined set of sources. We confirm the final deliverables in your scope.
Make a defined set of company knowledge useful to one team, with sources and permissions built in.
Includes: Knowledge and permission map, agreed source set, working knowledge assistant, source links, 20–30 evaluation questions, restricted-access tests, update process and handover.
$3,000–$8,000
Indicative project ranges. Migration, configuration and managed operation are scoped separately from a review. Final scope depends on complexity, data quality, access and exceptions; you receive a defined scope before work begins.
Usually not. The system retrieves relevant material from approved sources when it is needed. That makes sources, access rules and corrections easier to manage.
Only where the agreed use case and the user’s permissions allow it. Sensitive sources and client boundaries are mapped before connection and included in testing.
We assign source owners and agree how material is updated, withdrawn and reviewed. Unclear or outdated information should be excluded or flagged, rather than treated as a reliable answer.
In stages. First we test retrieval and useful drafts. Actions can then be added to an agreed workflow with confirmation before consequential steps.
One team and a defined set of sources. A conversation can help define the scope and next step.