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AI Lab/ 004

AI Enquiry Assistant.

How we turn a raw enquiry into a structured summary, a category, a priority and a suggested next action. Paste your own text and run it.

Simulated preview. This demo runs a small rule-based routine in your browser. No AI model is called and nothing you type leaves this page. Production assistants use a secure server route with limits and a data-handling policy.

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Workflow

SIMULATED
  1. INPUT
  2. CLASSIFY
  3. SUMMARIZE
  4. RECOMMEND

Structured result

IDLE

Run the assistant to see the summary, category, priority and suggested action for the enquiry on the left.

What a production version adds.

The preview above is deliberately simple. A production assistant adds the safeguards below, which is what you get on a real project.

  • Secure server route

    The model is called from a server route with credentials in environment variables, never from the browser.

  • Validation and limits

    Inputs are validated and size-limited; outputs are checked against a fixed schema before anything is stored.

  • Graceful failure

    If the model is unavailable the enquiry is still stored and queued for a person.

  • Data handling

    Enquiry text is kept only as long as the record itself, with a clear note on what is processed and where.

Read more in our privacy note or see how we scope this kind of work on the AI & automation page.

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