Internal AI Knowledge Assistants
Give employees a conversational way to search approved policies, product information and operating documents. Answers should refer back to source material and respect the information each person is allowed to access.
Service scope
Use this service when employees repeatedly search policies, manuals or operating documents to answer questions. We build an internal assistant around selected sources, the people who own them and the access each employee should have.
Identify the documents and systems that contain reliable answers. Review formats, duplicates and outdated material, then agree which content should be available to the assistant.
Assign content owners and define how additions, changes and removals reach the search index.
Retrieve relevant passages before composing an answer, and show references back to the underlying material. Employees can inspect the source and decide whether it answers their question.
Define what the assistant should do when sources disagree, a question is ambiguous or there is no adequate evidence.
Apply the agreed access model when retrieving information, including differences between teams or roles. Test that restricted documents do not appear in unauthorised results.
Evaluate realistic questions for source relevance, answer accuracy and useful escalation, rather than checking only whether the assistant returns text.
Illustrative project examples. The work included is agreed for your project.
Employees ask how a published policy applies, receive a sourced answer and can open the relevant section. Questions that the documents cannot resolve are directed to the policy owner.
A service team searches approved manuals and procedures in one place. Answers point to the relevant source so the employee can verify instructions before acting.
What you receive
The written proposal defines the deliverables and acceptance checks for your engagement. A typical implementation includes the following.
An agreed source inventory, content owners, employee access model and refresh or removal process.
The agreed search and answer interface, source references and behaviour for unanswered or ambiguous questions.
A question set reviewed with your team, covering useful answers, missing evidence, conflicting material and access restrictions.
Instructions for maintaining sources, checking refreshes, reviewing feedback and escalating content issues, with support separately scoped.
Bring a representative set of documents and questions employees ask today. We agree access and data handling first; please do not send confidential source material through the initial enquiry form.
Not necessarily. Retrieval can supply selected relevant passages to a model when answering. The architecture and data handling are agreed for your environment.
The assistant should say the answer is unavailable or needs checking, then point to an owner or escalation route rather than inventing policy.
We define content ownership, refresh behaviour and tests for changed or removed material. Ongoing content maintenance is an operational responsibility.
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Read how we work and about the team. Cloud architecture is a supporting delivery capability.
Tell us about the work, the people involved and the outcome you need. We will agree an appropriate next step.
Discuss your project