Use cases · Operations
Internal knowledge assistant
Answer staff questions from approved policies, procedures and product documents, with the source shown and a clear handoff when the answer is not there.
Where it starts
The trigger.
A staff member has a policy, process or product question.
How it runs today
- The same questions reach the same few people every week.
- Answers depend on who is asked.
- Documents exist but nobody can find the current version.
The workflow
Four bounded steps.
Each step has an owner and a stop rule.
- 01 / Scope
Choose the approved documents and who may see each.
- 02 / Connect
Give the assistant read access to those sources only.
- 03 / Answer
Questions are answered with the source document linked.
- 04 / Hand off
Unanswered or sensitive questions go to the named owner.
Where people stay in control
Approval points.
- Document owners approve what the assistant can read.
- HR, legal and pay questions route to a person.
How we would measure it
Against a baseline.
Measured before and after, on the same work.
Repeat questions reaching experts.
Share of answers with a source staff accepted.
Time to answer, before and after.
Related
Go deeper.
More use cases
Other places to start.
Meeting notes to tracked actions
Turn meeting notes or transcripts into a short summary, decisions and owned action items in the tools the team already uses.
See the workflow OperationsAdministrative letters from approved templates
Draft routine administrative letters, such as referral acknowledgements, appointment confirmations and records-request replies, from approved templates and the details already on file, so staff review and send them instead of typing each one.
See the workflow OperationsDocument intake and review
Pull the fields out of incoming documents, check them against your rules, and route only the exceptions to a person.
See the workflowAn illustrative workflow pattern, not a result from a specific customer.
Bring the messy version
One workflow.
A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
---
title: "Internal knowledge assistant: AI Use Case"
description: "Answer staff questions from approved policies, procedures and product documents, with the source shown and a clear handoff when the answer is not there."
url: https://lidvizion.ai/use-cases/internal-knowledge-assistant/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
[Use cases](https://lidvizion.ai/use-cases/) · Operations
# Internal knowledge assistant
Answer staff questions from approved policies, procedures and product documents, with the source shown and a clear handoff when the answer is not there.
[Talk through this workflow](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fuse-cases%2Finternal-knowledge-assistant%2F#write) · [Configure your AI](https://lidvizion.ai/services/ai-setup/)
Where it starts
## The trigger.
A staff member has a policy, process or product question.
How it runs today
- The same questions reach the same few people every week.
- Answers depend on who is asked.
- Documents exist but nobody can find the current version.
The workflow
## Four bounded steps.
Each step has an owner and a stop rule.
1. 01 / Scope
Choose the approved documents and who may see each.
2. 02 / Connect
Give the assistant read access to those sources only.
3. 03 / Answer
Questions are answered with the source document linked.
4. 04 / Hand off
Unanswered or sensitive questions go to the named owner.
Where people stay in control
## Approval points.
- Document owners approve what the assistant can read.
- HR, legal and pay questions route to a person.
How we would measure it
## Against a baseline.
Measured before and after, on the same work.
### Repeat questions reaching experts.
### Share of answers with a source staff accepted.
### Time to answer, before and after.
Related
## Go deeper.
- [Configure your AI](https://lidvizion.ai/services/ai-setup/): Turn individual AI use into a repeatable way of working.
- [Embeddings and feature vectors](https://lidvizion.ai/resources/basics/embeddings-feature-vectors/): How models turn text, images and records into numbers that can be compared.
- [Prepare your documents for an AI assistant](https://lidvizion.ai/guides/prepare-your-documents-for-an-ai-assistant/): A four-step playbook to get policies, procedures and product documents ready for an AI assistant, so its answers are current, sourced and limited to what each person may see.
- [What Is Retrieval-Augmented Generation (RAG)?](https://lidvizion.ai/answers/what-is-retrieval-augmented-generation/): What is retrieval-augmented generation, and when does a business need it?
More use cases
## Other places to start.
[All use cases](https://lidvizion.ai/use-cases/)
- [Meeting notes to tracked actions](https://lidvizion.ai/use-cases/meeting-notes-to-actions/): Operations Turn meeting notes or transcripts into a short summary, decisions and owned action items in the tools the team already uses.
- [Administrative letters from approved templates](https://lidvizion.ai/use-cases/administrative-letters-from-approved-templates/): Operations Draft routine administrative letters, such as referral acknowledgements, appointment confirmations and records-request replies, from approved templates and the details already on file, so staff review and send them instead of typing each one.
- [Document intake and review](https://lidvizion.ai/use-cases/document-intake-review/): Operations Pull the fields out of incoming documents, check them against your rules, and route only the exceptions to a person.
An illustrative workflow pattern, not a result from a specific customer.
Bring the messy version
## One workflow. A better way to run it.
Show us the tools, the handoffs, and the part that keeps slowing your team down.
[Let’s map your workflow](https://lidvizion.ai/contact/) · [Read our approach](https://lidvizion.ai/approach/)