AI Glossary

Generative AI

What it means, why it matters to your business, and where it shows up in a real build decision.

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Also known as GenAI

In plain terms

Generative AI is AI that produces new content, such as text, images, code, or audio, rather than only classifying or scoring existing data. It is the difference between software that answers a fixed set of questions and software that drafts a proposal, a reply, or a design. The output still needs review before it reaches a customer.

A simple analogy

Traditional software retrieves or transforms. Generative AI composes. It is the difference between a search engine finding a document and a copywriter writing a new one from scratch.

What it looks like in practice

A property management company uses generative AI to produce tailored lease renewal letters from a simple data record, cutting manual drafting from 45 minutes to 2 minutes per letter.

When to use it

When the output needs to be original, varied, or adapted to context: drafts, summaries, design variations, and personalised communications at scale.

When to avoid it

When the output needs to be exact, deterministic, or auditable. Generative output must be reviewed before it reaches a customer in any regulated or high-stakes context.

Work with us

Put this to work on a real problem.

Tell us what's slowing you down and we'll show you where Generative AI development fits.

Work with us

Tell us what's broken.

Tell us what's not working in your business. We'll find the real problem and tell you exactly what it would take to fix it.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.