Applied innovation and AI work.

Extending high-quality product narrative beyond live meetings through interactive, on-demand experiences.

Introduced interactive video and demo automation into the standard toolset so buyers can explore the platform in their own time and internal teams can share a consistent story at scale.

Outcome Broader reach for the solution engineering function and more consistent product narrative across the buyer journey.

A repeatable approach to framing outcomes, ROI and business case for senior customer audiences.

Built a value articulation approach so consultancy and solution engineering conversations lead with outcomes and decision support rather than product tour.

Outcome Sharper commercial narrative in executive rooms and better alignment on what success looks like.

Persona-led showcase environments and reusable assets that raise the floor and reduce preparation effort.

Designed a coherent set of showcase environments backed by an asset library so teams reuse a strong baseline before customising for the customer.

Outcome Faster preparation, more consistent quality and more senior time released to coaching and strategic pursuits.

Management reporting that surfaces workload, coverage and utilisation clearly enough to act on.

Introduced a shared activity taxonomy and reporting layer so leaders can see how the team's time is invested and where capacity is under pressure.

Outcome Better capacity decisions, earlier identification of overload and a more balanced portfolio of customer, coaching and enablement work.

An early extensibility capability that let developers host algorithms in the cloud and execute them against enterprise PIM and MDM data.

Created at Stibo Systems before, or during the infancy of, AI as a mainstream enterprise topic. The capability provided a cloud-hosted execution environment for developer-created algorithms, allowed those algorithms to run against enterprise PIM and MDM data, and established an extensibility model for customer-specific intelligence and analytical logic. It is not a generative AI story; it is an example of technology foresight and innovation leadership towards intelligent data platforms.

Outcome Demonstrated early strategic foresight around intelligent, extensible data platforms and opened a route for customer-specific analytical logic to run alongside core master-data capabilities.