Digitisation first. Then the record AI systems read.

The work that quietly consumes senior time: the handoffs between your CRM, analytics, email, and reporting stack, recurring reports rebuilt by hand each month, data re-entered between systems that were never introduced to each other, and internal approvals that stall because no one can see them. Each workflow is built, tested, documented, and handed to your team, on infrastructure your organisation controls. Engagements run from two to twelve weeks, scoped in writing before work begins.

Internal software written for one organisation rather than sold to many: the tools, portals, and integrations that replace a manual process nobody should still be doing by hand. Your organisation owns all of it, without exception. Builds sit on accounts your organisation controls, data stays in your environment, and handover includes documentation written for your team rather than for the person who wrote the code. There is no proprietary platform to stay subscribed to.

Category-level intelligence gathered before a high-conviction move: sector mapping, competitor decomposition, buyer-signal capture, and a read on how AI systems currently describe your category and the organisations inside it. Organisations commission it when the decision is large enough that being wrong is expensive, entering a new market, repositioning against a competitor, or taking a strategy to a board that will ask what the evidence is. It runs in three tiers and is scoped per engagement.

A conventional site is built for people to read and for search engines to rank. An AI-native site is additionally built to be parsed, understood, and quoted accurately by machines: entity-clear architecture, schema markup, llms.txt, and a semantic structure that leaves no ambiguity about who the organisation is and what it does. It ships with a custom design system and a CMS your team can edit without a developer. Three tiers, from 8 to 20 or more pages, designed, built, and deployed in four weeks.

Every layer of this practice answers to the same governance standard. The organisation that hires me leaves the engagement owning the system, holding the evidence, and accountable for every decision made along the way. Nothing operates as a black box, and nothing depends on me to keep running.