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Whitesoft

Use cases

Where AI tends to pay, and how we would know.

Each use case follows the same structure: the problem, the AI opportunity, our approach, the expected type of outcome and how it is measured.

These are patterns we apply rather than client case studies. For systems we have built and run, see our work.

Positioned on the Value Matrix

Typical positions before your context is applied.

Positions shift once we score an opportunity against your data, systems and readiness. The matrix is the tool; your numbers are the answer.

Start hereHigh value, lower complexityPlan carefullyHigh value, higher complexityQuick wins if cheapLower value, lower complexityParkLower value, higher complexityImplementation complexity →Business value →12345678
  1. Internal knowledge assistant
  2. Customer service automation
  3. Document intelligence and extraction
  4. Proposal and tender response drafting
  5. Finance workflow automation
  6. Software engineering productivity
  7. Compliance and policy assistance
  8. Analytics and decision support
Illustrative positioning of example use cases. Every opportunity is scored on seven criteria and plotted before any technology decision is made.

Which of these applies to you?

Tell us the two or three that resonate and we will talk through what they would look like in your organisation.