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Artificial intelligence · AIBS

Artificial intelligence that serves your business

Identify relevant AI uses and integrate assistants into your processes, with controls suited to your activity.

From sources to checked answers
From sources to checked answers

AI proposes. Your organisation stays in control.

Before choosing a model, define a task and a quality criterion. A fluent response can still be wrong. Sources, permissions and checks matter as much as the assistant itself.

  1. Approved sources

    Which documents can be used?

    Limit scope, check dates and identify sensitive information.

  2. Assisted response

    What should the assistant produce?

    Specify the format, request available references and allow an unanswered result.

  3. Human review

    Who checks before use?

    Compare with sources and define escalation when the answer is uncertain.

Illustrative example · scope to adapt

Does this sound familiar?

Your team spends time searching, classifying or rephrasing information. You want to test AI on specific tasks.

For a fixed-rule task, conventional automation may be more suitable. AI can be considered for summarising, classifying or finding information; sensitive responses and important decisions need controls defined before testing.

What we can put in place

  • Identifying and prioritising use cases
  • Document assistants and enquiry handling support
  • Testing within a defined scope
  • User training and human oversight

An example to help you visualise

An assistant can help a team find information in its documentation. Sources, access and answers need checking before wider use.

Automation & AI assistants

Automate follow-ups, data entry and enquiry handling with connected tools and AI assistants.

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Getting started

Choose a repetitive task or information search you would like to simplify.

Let’s discuss your needs ↗