Internal knowledge search
The agent searches approved documents, wikis and tickets and supports answers with sources.
For industry and medium-sized companies
AI agents forinternal workflows
They search approved sources, prepare work steps and provide traceable results. Changes only happen after human approval.
- 01Approved data
- 02Agent and tools
- 03Human approval
- 04Verifiable result
Suitable tasks
When an AI agent is appropriate
An agent is a good fit when information is spread across several systems and the next useful step depends on the current result.
If the sequence, inputs and exceptions are fully known, a fixed workflow is usually easier to test and operate.
Prepare quotes and emails
Drafts use previous quotes, style guidelines and the current case. A person reviews and sends them.
Processes with approvals
The agent researches and prepares work in permitted systems. Effective changes require approval.
Controlled pilot
From use case to limited pilot project
The first version reads and evaluates but does not change production data. Extensions follow only after a traceable evaluation.
- 01
Define the task and success criteria
A limited use case and real completed cases define what a useful result looks like.
- 02
Limit data and permissions
Sources, user roles, permitted tools and approval points are defined before technical implementation.
- 03
Test in read-only mode
The first version searches, compares and prepares drafts without changing production data.
- 04
Evaluate and decide
A fixed test set evaluates quality, sources and failure cases and provides the basis for the next step.
Pilot boundaries
Define access first
Data, tools and room for action are defined before implementation.
Security and operationData access
Only approved sources and roles are connected.
Effective actions
Changes and external actions require human approval.
Resource limits
Runtime, cost and tool calls have fixed limits.
Traceability
Inputs, actions and results are logged and tested.
Foundations and our own practice
How we assess and test agent systems
Our own development
AI Mux for coding agents
Our development log shows how we coordinate several agents and make requests for human attention visible.
Read development logWhat is agentic AI?
How agents choose tools, when a fixed workflow is the better fit and which limits are needed before use.
Read articleAI readiness in industry
A practical assessment of process, data, integration, risks and later operation.
Read the readiness checkAssess an AI use case
We clarify whether an agent is appropriate, which data it needs and how a limited pilot can be evaluated.
Gießen office: Flutgraben 4, 35390 Gießen
Visits by appointment, Mon-Fri, 09:00-18:00
Registered office and postal address: Auf der Grube 9, 35041 Marburg
Carsten Schmidt
CEO