Services · AI & Agents

You do not have an AI problem. You have a context problem.

Agents without process context automate the error. We implement AI agents that build on your process data, have an owner and whose effect we measure.

What it is about

What are AI agents?

An AI agent is software that does tasks in a process on its own. It checks cases, prepares decisions or triggers steps in your systems. To act correctly, it needs context: How does the process really run, which exceptions exist, which rules apply?

The topic covers

Use cases: Where does AI bring measurable benefit, and where is classic automation enough?
Routine and exception: Which routine decisions can AI take over, and which exceptions still need a person?
Process context: Which process data does the agent get before it decides?
Effect: Who is the owner, and how large is the effect in euros?

Why AI projects fail

Understand first. Automate last.

Many AI projects fail for an unglamorous reason: AI gets placed on top of work that nobody has really understood. AI scales whatever it finds. Point it at an unclear process and you do not get efficiency. You get the same mess, only faster and more expensive.

Companies that succeed with AI do the opposite. They first understand how the work really happens, and only then automate it. That is the whole craft. And it is the step many skip in the rush to add AI.

At WITTBIX, this step is Process Intelligence: We use your process data to show how the work really runs before an agent takes it over.

Our offer

What WITTBIX offers

Building block	What you get
AI context check	The process foundation and a business case for your sponsor. Same procedure as the D1 Pre-Evaluation.
Selection of agents	Individual for each client, based on your process data and where the effect in euros is largest. No agent without a business case.
Implementation	We roll out the agents with our implementation partners. Your point of contact remains WITTBIX.
Measurement	Every agent has an owner, a number in euros and a baseline.

95 %

of GenAI pilots without measurable P&L effect.

Source: MIT NANDA, The GenAI Divide: State of AI in Business 2025.

Entry point

AI context check

One day, same procedure as D1 Pre-Evaluation, result: The process foundation and a business case for your sponsor.

Book your meeting →

Where Insights Turn into Business Impact & eXecution

Wittbix Value GmbH
Milchstraße 15 · 26123 Oldenburg
Germany

hello@wittbix.com
+49 179 7597905
linkedin.com/company/wittbix
www.doc-t.eu
Doc T initiates. WITTBIX realizes.

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