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AI service

AI integration in apps and systems

We add AI to the tools your business already uses to automate tasks, search information and connect data without having to change everything.

  • Integrate AI with internal applications, CRM, ERP, forms, email or databases.
  • Cut manual tasks such as copying data, classifying requests or drafting replies.
  • Start with a small integration before planning a larger project.
Request an AI assessment See use cases

  1. Internal apps

    AI features inside your tools

  2. CRM / ERP

    Data prepared for review

  3. Documents

    Information extraction and summaries

  4. Email

    Classification and draft replies

  5. APIs

    Connection to AI services and models

What we integrate

AI works best when it is connected to daily work

Many companies try ChatGPT or other tools, but only for isolated tasks. The next step is to integrate AI where the team's data, documents and tasks already live.

  • Applications and internal software

    We add AI capabilities to existing tools: smart search, summaries, content generation, classification or internal assistants.

  • Documents and data

    We process invoices, contracts, forms, emails or reports to extract useful information and send it to the right system.

  • Workflows between tools

    We connect AI with CRM, ERP, email, spreadsheets, forms, databases or custom applications.

Use cases

Useful integrations to start without overcomplicating the project

The usual approach is to start with a specific task: something repetitive, frequent and easy to measure. If it works, it can be extended.

  • Classify requests and prepare the CRM

    AI can read forms, emails or incoming messages, identify the type of request, suggest a priority and leave the information ready for the sales or support team.

  • Extract data from documents

    Turn invoices, contracts, reports or forms into reviewable, reusable data.

  • Draft repetitive replies

    AI can summarise and classify messages and prepare drafts for a person to review before sending.

  • Build assistants connected to internal information

    An internal assistant can help the team look up procedures, technical documentation, manuals, internal policies or knowledge bases without searching through several folders or tools.

The team searches internal information in plain language, without wasting time across multiple systems.

Method

Starting small is usually the best way to get it right

Before integrating AI into several systems, it is worth validating one specific case: what problem it solves, who uses it and how we will know whether it is worth scaling.

  1. Choose the right case

    We review repetitive tasks, current tools, data sources and the points where the team loses time.

  2. Build a pilot

    We create a first, well-scoped integration with clear rules and human review where the process needs it.

  3. Measure before scaling

    We check whether it saves time, reduces errors or improves the quality of the work before turning it into a stable solution.

Does it make sense to integrate AI into your systems?

Tell us which tools you use and which tasks you want to simplify. We will help you find out whether there is a useful integration worth testing before investing in a larger project.

Request an AI assessment