Source
Which documents, systems, or rules can the workflow trust?
Internal knowledge · SMEs
AI knowledge base for SMEs
An internal AI assistant that answers from procedures, contracts, manuals, technical documentation, and previous cases.
Before we build
A useful AI workflow needs more than a prompt. We make the sources, owner, handoff, and success metric clear before anything becomes part of daily work.
Owner
Who approves exceptions, changes, and sensitive outcomes?
Metric
Which number should improve first: time, quality, response speed, or cost?
Where the work gets stuck
Where knowledge disappears
Procedures are spread across drives and chats.
New employees ask the same questions.
Important context lives in senior employees' heads.
First workflow to build
First workflow to build
- 1
Collect approved documents and owners.
- 2
Define access rights and sensitive categories.
- 3
Create retrieval with source references.
- 4
Log gaps where answers are missing.
What should improve
What improves
- Faster internal answers.
- Less dependency on senior staff.
- Better onboarding.
- Clearer knowledge gaps.
FAQ
Does this train a model on all our data?
Usually no. Start with retrieval from approved documents and clear access rules.
Can answers include sources?
Yes. Source references are important for trust and review.
Choose the route
Three practical ways to start
Different problems need different first steps. Pick the route that matches the decision you need to make now.
I want to find the best AI use case
Start with the Quick Scan when the opportunity is visible, but the first workflow is not clear yet.
Start Quick ScanI need priorities and a 90-day plan
Choose the AI Roadmap when multiple teams, tools, or data sources are involved.
View AI RoadmapI want to discuss scope or pricing
Use contact when there is already a concrete workflow, tool stack, or project idea.
Contact