Company knowledge, meeting and document agent
Company knowledge, meetings and documents in one agent.Knowledge, meetingsand documentsin one agent.
Handbooks, meeting minutes, invoices and price lists sit scattered across drives, inboxes and people's heads. The agent answers questions with a source reference, turns meetings into tasks and decisions, and extracts documents in a structured way, separated by role and without invented facts.
- Sourcescited, not guessed
- Meetingsbecome tasks
- Documentsextracted, not retyped
Three knowledge sources
One agent for everything that otherwise stays scattered.
Company knowledge, meetings and documents look different, but need the same foundation: source grounding, role permissions and visible uncertainty.
Handbooks, price lists and contracts sit scattered. The same questions keep going to the same two or three people.
Answers with a source reference, separated by role, without invented facts.Decisions and tasks disappear into notes or chat threads. Nobody knows exactly who should do what by when.
Summaries, tasks and decisions captured in a structured, searchable way.Invoices, delivery notes and measurements arrive as PDF or scan and have to be transferred into other systems by hand.
Documents extracted in a structured way, checked against master data, turned into quotes and posting proposals.Access model
As much access as useful, as little as possible.
- Sales, engineering, finance
- do not see the same slice of company knowledge, meetings and documents.
- Sensitive content
- Contracts, HR and pricing data get their own approval and visibility rules.
- Management
- can access approved summaries across projects and roles.
Use case
The knowledge exists. It is just scattered, unstructured or manual work.
Value is high when the same questions keep coming back, meeting outcomes get lost, or documents are retyped by hand.
- Knowledge depends on people
- When the experienced colleague is on holiday, the process stalls. Answers live in heads, not in usable systems.
- Notes disappear
- Meeting outcomes live in personal documents or chat threads, not where the team can find them again.
- The same number, retyped three times
- Line items travel from the delivery note into inventory, from there into the invoice and finally into accounting.
- Searching costs more than asking
- Folder structures, drives and inboxes have grown over years. It is faster to ask someone than to search yourself.
- Old versions keep circulating
- Outdated price lists, retired processes and old templates stay in use because nobody is sure what currently applies.
Solution
One agent, three sources, one foundation.
The agent connects company knowledge, meeting minutes and documents. It invents nothing, points to sources, separates by role and flags what is uncertain or inconsistent.
- Capabilities
- answer questions from approved documents, with a source referencesummarize meetings and extract taskscapture decisions from meetings and make them searchableextract invoices, delivery notes and measurements in a structured wayreconcile line items against master data and price listsgenerate quotes and posting proposalssurface contradictions, gaps and discrepancies
- Boundaries
- no answer without a sourceno hallucination as factno posting or payment approval by the agentno mixing of roles and permissionsno substitute for legal, tax or medical advice
Process
From scattered knowledge to reliable answers.
We do not start with everything at once. We start with the area under the most pressure: knowledge, meetings or documents.
- 01
Starting area
Where is the biggest backlog: questions, meeting follow-up or documents?
- 02
Sources & permissions
Which documents, meetings and systems may be used, and who sees what?
- 03
Agent
Build search, summary, document extraction and validation logic per area.
- 04
Quality
Sample checks on accuracy and source grounding before the user group grows.
Trust
A knowledge agent is only as good as its boundaries.
Company knowledge, meeting content and documents are sensitive. Source grounding, role permissions and visible uncertainty belong in the architecture, not on the roadmap.
- Source grounding
- Every answer points to the document, meeting or receipt it came from. What cannot be evidenced is not claimed.
- Role separation
- Sales, engineering, finance and management do not see the same slice of company knowledge, meetings and documents.
- Visible uncertainty
- When context is missing, sources conflict, or a document looks implausible, the agent says so instead of smoothing over the gap.
Fits these industries
Where this agent is used in practice.
Reading
Related articles from the blog.
Practical guides that explain the same processes before you start a pilot.
Meeting agent: notes you can find again
Meeting agent with a team example: separate decision log from tasks, measure baseline, check transcript faithfulness, and run a narrow pilot.
AI Assistant for Tax Advisory Firms
AI assistant for tax advisory firms: email classification, deadline tracking and client requests. With clear limits on confidentiality and legal advice.
AI Agents for SMBs
AI agents for SMBs: three criteria for the first use case, control, baseline and realistic entry. Practical guide from BitAutor in Hannover.
Automation or AI agent before the pilot
Automation, AI assistance or agent: which level fits when. Decision matrix for risk, cost and operations before your first AI pilot project.
BitAutor Company Knowledge Agent
Should company knowledge, meetings and documents cost less manual work?
Then we start with the priority area, the approved sources and the permission model.
Book a 30-minute slot directly whenever it fits your schedule.