Embedding AI directly into core business processes rather than treating it as a standalone tool. This includes introducing AI-assisted spec-driven development (using AI to extract specifications from legacy apps to create visual plans) and Model Context Protocol (MCP) integration to allow AI agents to safely operate within process boundaries.

Expected impact: Eliminates hurdles to enterprise AI adoption by providing the missing infrastructure needed to turn AI into real business impact and orchestrate how work flows across people, systems, and data.

Partnering with Deloitte to deliver a unified, AI-powered platform for case and process management across critical policing functions (records management, custody, intelligence, investigations, and digital forensics) to replace fragmented legacy systems.

Expected impact: Establishes a repeatable public safety operating model that can be extended from the UK to other major international markets like the US, Canada, and Australia.

Embarking on a multi-year trend of methodically expanding the sales organization across both federal and commercial sectors to drive enterprise market penetration.

Expected impact: Accelerates new customer acquisition and supports the expansion of large-scale strategic contracts, building on the momentum of major deals like the U.S. Army enterprise agreement.