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AI | Implementation

AI implementation for your company.
We bring AI in-house for you.

Claude, ChatGPT, or Copilot. We’ll work with you to choose the right model and integrate it into your real systems, not just a chat window.

Book an intro call
Go to the AI Finder →
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Example

What does an AI implementation actually look like in everyday work?

A controller asks the AI in a chat: “How does the Q3 forecast compare to plan?”

The AI pulls the numbers directly from the planning system, explains the variance, and returns the corrected value. No exporting, no copy-and-paste. These are exactly the kinds of workflows we build for you.

Status quo
Without a real AI implementation
  • AI sits isolated in a browser tab
  • Data is uploaded manually
  • Results end up nowhere in the system
  • After the pilot, everything goes quiet again
How it works
With AI implementation by BI2run
  • AI works directly in your systems
  • Real-time access to ERP, BI, and CRM
  • Results flow back into your processes
  • The pilot becomes productive operation
Starting point

Why do so many AI projects get stuck in the pilot phase?

The first test goes well, then nothing follows. Most of the time it’s not the model, but three points nobody clarified beforehand.

01

Why is there no strategy?

There’s an idea, but no use case with measurable benefit. Without a goal, the pilot fizzles out.

No use case
02

Why is there no system integration?

The AI sits isolated in a chat window. Without access to ERP, BI, and CRM, it stays a toy rather than a tool.

No system access
03

Why is governance slowing things down?

Data protection, rights, and responsibilities are still open. IT puts on the brakes, and the project never goes into operation.

Unclear responsibility
Getting started

Who decides on the AI implementation?
It doesn’t matter. We start where you are.

Executive management

You want an AI strategy that goes beyond individual tools. We bring structure and a realistic roadmap.

IT management

You review security, data protection, and operations. We deliver an architecture that stands up to your governance.

Business department

You already have a specific use case. We implement it and make it fit for the wider company.

Book an intro call
Model selection

Which model belongs in your AI implementation?

We aren’t tied to any one model. We know all four in real-world use and choose with you what fits your systems, data, and goals, instead of selling you a product.

Anthropic
Claude
OpenAI
ChatGPT
Microsoft
Copilot
IBM
watsonx

Claude implementation

Strong with long documents, precise work with numbers, and agents that access real systems through interfaces.

A good fit if: you need complex analyses, reporting, and agent workflows.
To the Claude implementation →

ChatGPT implementation

Broadly applicable, large ecosystem, good for general assistance, text work, and fast adoption across the team.

A good fit if: you want to get as many employees as possible productive quickly.
To the ChatGPT implementation →

Copilot implementation

Deeply integrated into Microsoft 365. Makes sense if your work already takes place in Word, Excel, Teams, and Outlook.

A good fit if: you rely heavily on Microsoft 365 and want to start there.
To the Copilot implementation →

watsonx implementation

watsonx Orchestrate builds agents with clear governance and traceability. For software projects and legacy modernization, IBM Bob adds a dedicated development assistant.

A good fit if: you run on IBM infrastructure, governance is a priority, or legacy systems need to be modernized.
To the watsonx implementation →

Still unsure which model fits?

The AI Finder asks you five short questions about your use case and gives you a reasoned recommendation in one minute.

Start the AI Finder →
Process

How does an AI implementation work, step by step?

Four stages from the first idea to live operation. Clear, transparent, and without a black box.

01

Workshop

Where AI creates real value and which model fits

02

Pilot

One concrete use case, connected to your real data

03

Rollout

Training, governance, and the first champions on the team

04

Operation

Ongoing support, further development, and model updates

Book an intro call →
Checklist

Ready for AI implementation? We’ll clarify these five points with you.

The first test goes well, then nothing follows. Most of the time it’s not the model, but three points nobody clarified beforehand.

01

Which use case delivers the fastest measurable benefit?

02

Which systems does the AI need to reach (ERP, BI, CRM)?

03

Which model fits your requirements and data protection needs?

04

Who on the team will be the champion for the rollout?

05

What does operation look like after go-live?

Difference

What makes our AI implementation special:
real system integration

Most companies introduce AI as a chat window. We connect it to your systems so it works with real data instead of uploaded files.

ERP & business applications

The AI reads and writes where your operational data lives.

BI & reporting

Direct connection to IBM Planning Analytics and Power BI. Numbers, forecasts, and reports in conversation.

CRM & internal tools

Customer data and internal systems via open interfaces instead of copy-and-paste.

Our strongest reference project is currently in finance and controlling. The principle works across industries.

Frequently asked questions (FAQ):

What you should know before your AI implementation.

No. That’s exactly what we’ll figure out in the workshop. We’ll take a look at your processes and identify the use case with the clearest benefits.

That depends on your systems, data, and goals. We have hands-on experience with Claude, ChatGPT, and Copilot and will work with you to choose the right one.

Data protection and governance are integral to the implementation, not an afterthought. We clarify rights, data flows, and the requirements of the EU AI Act before any production data is processed.

An initial pilot is usually up and running in a few weeks. The rollout depends on the scope and system landscape. We work in clear phases so you can see results early on.

That depends on the use case and system integration. After the workshop, you’ll receive a concrete quote with a clear scope and no hidden fees.

Next step
Let’s find out where your AI implementation truly adds value.
Book an intro call →
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