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AI Integration

Add Useful AI Capabilities to the Systems You Already Use

We bring AI into the website, application or dashboard where your users already work.

Integration examples

AI becomes useful when it is connected to the right interface, data and permission model.

Web and dashboards

Search, summarisation, drafting and classification inside an existing interface.

Mobile applications

Image, text or location-based AI services within the mobile journey.

Knowledge access

Assistants that answer from approved documents and point to their sources.

Technical scope

Architecture

  • Data boundaries
  • Model/API choice
  • Cost and latency goals

Integration

  • Server connection
  • User interface
  • Error management

Quality

  • Test set
  • Answer controls
  • Monitoring

Integration process

Review

Inspect the current system, data and user roles.

Prototype

Test the critical scenario with a limited data set.

Production

Deploy with security, cost and failure controls.

Mobile AI integration in practice

KAM combines a plant-identification service with a mobile experience, maps and local flora content.

Frequently Asked Questions

Can AI be added to an existing website?

Yes, when the platform can be extended safely through server-side code or APIs.

Is all data sent to the model?

No. Data flow should be minimised and controlled; sensitive cases may require masking or alternative architecture.