Build with AI

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

You know what needs to be built. We help you build it properly, connect it to your existing systems and get it running reliably in production, using Claude, ChatGPT/OpenAI, Codex or MCP where appropriate. We step in, build, document and hand over, without an open-ended staffing commitment.

Does this sound familiar?

Choose the challenge that best matches your situation.

Have an AI agent built

You know which task or workflow the agent has to perform. Now it needs to be designed well, connected and made reliable enough for real use.

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Have an internal AI assistant developed

You want to give employees faster access to internal knowledge, documents and systems through an assistant that fits your organisation.

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Automate a business process with AI

The process is clear and contains work that could be smarter or largely automatic. Now it has to become a reliable technical workflow.

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Add AI to existing software, an app or SaaS

The product already exists. Now you want to add AI functionality without losing sight of the existing architecture, user experience and reliability.

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Make your own documents, data and knowledge usable for AI

The valuable information is already there. Now AI has to be able to work with it reliably, securely and practically.

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Process documents, messages, emails or requests automatically

Information comes in as free text or documents and then has to be read, assessed, recorded or forwarded.

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Build an AI concept or prototype quickly

The idea is concrete enough to build, but you first want to show that the most important technical assumption actually works.

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Set up a product properly for AI so our own team can then continue independently

You want to build software quickly yourself with AI coding tools, but first lay a professional technical foundation.

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Extend existing software with agentic workflows

Your existing software already does a lot well, but some workflows could be smarter if AI gathered information and carried out next steps on its own.

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Replace several existing tools with one smart custom workflow

The process has become fragmented across several tools, spreadsheets and manual handoffs. You want to bring it back to one coherent workflow.

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Why 9to5 for this?

AI is only really useful when it works with existing software, data and business processes. We build that as software engineering, not as a standalone demo.

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Integrations are central to our work

We treat APIs, databases, permissions and existing systems as core parts of the solution, not extras around the AI.

Reliable beyond the happy path

We also test errors, edge cases and human oversight where needed.

Production and handover are part of the job

The work is done when the solution is live, documented and manageable for your team.

From a clear scope to something that really works.

  1. 01

    Define the scope and success criteria

    We make it clear what needs to work, who it is for and when it is good enough to go live.

  2. 02

    Set up the architecture and integrations

    We determine how AI, data, existing software, permissions and integrations should work together technically.

  3. 03

    Build and test

    We implement the difficult part and test more than the happy path, including reliability, errors and human oversight where needed.

  4. 04

    Bring it into production and hand over

    We launch it properly, document the important decisions and make sure your team can carry on independently.

What can we do for you here?

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?