AI assistants, agents, and AI products

Important information was scattered across policies, contracts, procedures, and internal systems, so people spent too long looking for answers — or kept asking the same few experts.

A private assistant that answers from approved company information, reads and compares documents, pulls out clauses, dates, and obligations, and takes approved actions — escalating anything unusual to a person.

Faster, more consistent answers, and fewer repeat questions across the organisation.

Teams spent significant time creating, adapting, reviewing, and approving recurring content.

A controlled generative AI solution that drafts and adapts content against approved brand and compliance rules, with people reviewing and approving.

Content production time fell by more than 70%, with review and approval still done by people.

Business users relied on analysts to pull numbers, build charts, and explain why results moved.

An analytics assistant people ask in plain language — “Why did performance drop this month? Which region drove it?” It retrieves the data, builds the charts, compares periods, and helps explain the change.

Faster insight, and less dependence on repetitive reporting.

Feedback arrived from reviews, surveys, social media, and support — far too much to read and categorise by hand.

A generative AI solution that reads large volumes of feedback and explains what customers and the market are saying — and the reasons behind it, not just a positive or negative score.

A clear read on customer and market perception without reading thousands of comments by hand. We ran this enough times to turn it into a product — it became Prism.