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Start with AI

We want to get started with AI, but aren't sure how.

You might have an idea, a process that could work better or simply a sense that AI could do more for you. We help you work out what looks promising, where the risks lie and whether AI is actually the right solution.

How can we help?Where are you getting stuck?

Does this sound familiar?

Choose the challenge that best matches your situation.

Which processes are suitable for AI or automation?

You see opportunities to make manual work smarter, but first want to know where AI actually adds value and where regular automation fits better.

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Can we build an internal AI assistant with our own knowledge?

You want to know whether employees can reliably use AI to work with internal documents, data and knowledge that is now spread across different sources.

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Is our AI idea technically feasible?

You have a concrete AI idea and want to know whether it can really be built with the available models, data, systems and constraints.

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Do we need AI for our idea?

You have a problem or product idea and suspect AI could be a solution, but first want to know whether that is technically and practically the wisest route.

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Can AI perform this task reliably enough?

You can see that AI can in principle perform the task, but want to know whether the quality is predictable enough for serious use.

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Should we build ourselves, use existing software or connect systems?

The problem is clear, but there are several technical routes. You want to know which combination of buying, building and integrating is wisest.

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How do we add AI to our existing product?

You see opportunities to make your current software smarter, but first want to determine which AI functionality really adds something, technically and commercially.

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We want to build software ourselves with AI tools, but start off right technically

You want to build software quickly yourself with Claude Code, Codex, Cursor, Lovable, Bolt or similar AI tools, without piling up technical problems from day one.

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Why 9to5 for this?

We don't advise from a fixed preference for AI or custom software. Because we build software ourselves, we can honestly assess what is technically feasible and worthwhile, and what you are better off not building.

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Engineers look at the real system

We look at the AI idea, but also at the data, existing software, integrations and users.

AI is a tool, not the default answer

Automation, existing software, an integration or building nothing are all serious options too.

Advice and implementation from the same people

If building turns out to make sense, we can carry out the next steps ourselves. That keeps our advice realistic.

From a challenge to a sound technical approach.

  1. 01

    Define the problem

    We establish which decision you need to make, which process you want to improve and what a good result would look like.

  2. 02

    Understand the context and systems

    We look at existing software, data, integrations, users and technical constraints.

  3. 03

    Assess the options

    We compare AI, automation, existing software, integrations and custom development in terms of feasibility, risk and value.

  4. 04

    Deliver a decision and a way forward

    You get a concrete technical direction, the main risks and a logical next step.

What can we do for you here?

AI Reality Check · €1,950 excl. VAT

In a compact engagement we determine what is technically sensible and feasible, where the risks are and what a wise next step is.

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Vibe Code Kickstart · €4,950 excl. VAT

We set up the technical foundation properly. After that, you or your team keep building independently with Claude Code, Codex, Cursor, Lovable, Bolt or other AI coding tools.

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AI Prototype Sprint · €6,950 excl. VAT

From one concrete AI idea to a working end-to-end prototype that lets you actually test the key technical assumptions.

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Why 9to5?

Senior engineering

AI + software engineering

Existing software

We step in where it gets complicated

Production-ready

Built, tested and reliably deployed

Handover

Documented, so you can carry on independently

Facing a different situation?

We know what we want. Now it needs to be built.

The problem and direction are clear. Now it needs to be built properly, integrated and brought into production.

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We've already built something, but we're stuck.

Something is already there, but it is unreliable, hard to understand or technically stuck. We need to get it back under control.

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