Your company knows a lot.
Make it easier to find.
Give your team a practical way to use the knowledge in your documents, procedures, and everyday experience—with answers connected to approved sources.
Make company expertise easier to find and use.
The same questions reach the same few people, while useful procedures and decisions are scattered across files and conversations.
Access
Help staff reach the information they need.
Continuity
Capture procedures that depend on one person.
Confidence
Connect answers to sources people can inspect.
What is a company knowledge assistant?
A company knowledge assistant helps staff find and use information from an approved set of business documents. It retrieves relevant material and can generate an answer with source references, subject to the access rules and review requirements agreed for the system.
The pieces that make it work.
Knowledge, brought together
Organize the information your team needs and identify gaps, duplicates, and outdated material.
Answers in the flow of work
Help staff navigate procedures, recurring questions, and onboarding with relevant context.
Sources and boundaries
Design for source references, access controls, and a clear path when an answer is uncertain.
What this could look like
in your business.
Illustrative applications. We shape the final design around your people, information, and systems.
01An internal operations assistant
Staff need to find the right procedure quickly.
Retrieve relevant approved material and prepare an answer with source references.
Show uncertainty and route unresolved questions to the process owner.
02Onboarding and role guidance
New team members learn by repeatedly interrupting experienced staff.
Organize role-specific instructions, examples, and frequently asked questions.
A named owner checks the underlying information and keeps it current.
03Capturing owner knowledge
Important know-how has never been documented.
Structure interviews and worked examples into a usable knowledge foundation.
The people who know the work approve the resulting procedures.
A defined scope.
A tangible result.
Your proposal defines the exact deliverables, timeline, responsibilities, and acceptance criteria.
- An inventory of agreed knowledge sources
- A defined process for organizing and updating content
- A configured assistant for the approved use cases
- A representative question set and answer-quality evaluation
- User guidance, limitations, and escalation instructions
One question. A useful starting point.
A new team member asks how to onboard a customer. The assistant finds the current procedure, summarizes the steps, and points to the source so the person can check the details.
Bring a sample of approved documents, recurring staff questions, known access restrictions, and a content owner.
Define progress
before we build.
We agree on a baseline and evaluation that match the work. These are candidate measures to discuss—not promised results.
Answer quality
Correctness, useful source references, and handling of unanswered questions.
Time to useful information
Time to find and verify the right procedure or fact.
Knowledge coverage
Which recurring questions the approved material can actually answer.
Explore your next question.
What makes a company knowledge assistant useful?
Useful questions to bring into your next decision.
Related capabilityWorkflow automation
See how this connects to the broader workflow.
Related capabilityAI strategy & discovery
See how this connects to the broader workflow.
Research and applied machine learning, connected with enterprise software engineering.
Good questions.
Clear answers.
Can it learn what is in the owner’s head?
That knowledge first needs to be captured through interviews, examples, or documented procedures. We can help structure it, but an assistant cannot recover information that has never been provided.
How do you keep answers current?
The project needs a content owner and an update process. Depending on the sources, updates can be manual or connected to supported systems. We define that operating process during scoping.
Will it always answer correctly?
No AI system can guarantee correct answers. We evaluate against representative questions, make sources visible where possible, and define when the assistant should acknowledge uncertainty or refer someone to a person.
Let’s make the opportunity concrete.
Bring us a workflow or business question. We’ll explore a useful first scope together.