Selected work, with the evidence beside it.
Public cases, tools and frameworks showing how industrial B2B enterprises move AI from pilots to operating impact across CRM, data and agentic workflows.
AI-assisted ordering for construction
Public case + published pilot results
Strategy and delivery leadership within the Holcim team
Spanish pilot with construction customers. Figures as publicly reported in the interview for that pilot scope. They are not an independent audit, a benchmark, or a guaranteed outcome elsewhere.
- AI-assisted ordering for construction
Led strategy and delivery for Holcim's AI-assisted ordering experience for construction customers, connecting commercial needs, customer adoption and enterprise workflows.
Pipesignal: Agentic AI for B2B Project Discovery
Founder-built product concept
Product strategy, concept and build
This is a product concept, not an independently validated client result. Earlier discovery, continuous monitoring, data accuracy and commercial conversion remain hypotheses to test; no pipeline or revenue figure is claimed.
- Pipesignal: Agentic AI for B2B Project Discovery
A founder-built concept for discovering industrial B2B projects from public signals and organising the research for commercial teams. The intended pre-tender discovery workflow is demonstrated as a product concept, with no audited pipeline or revenue claim.
Helion Industries: Operational Intelligence Reference Build
Fictional industrial reference build
Product concept, interface and working prototype
Helion Industries and its operating data are fictional. The prototype does not establish predictive accuracy, anomaly detection, production reliability or a client outcome. No model-accuracy benchmark is claimed for this build.
- Helion Industries: Operational Intelligence Reference Build
An interactive reference build exploring AI-assisted operational briefings for a fictional industrial company. It demonstrates an interface and a proposed decision workflow using fictional data, rather than live industrial performance.
AI model decision dashboard
Live personal prototype
Product brief, interaction design and build
Three hours is a self-reported prototype build time, not a production delivery estimate. An earlier internal-team estimate concerned a different, production-grade scope and is not used as a cost or time saving. Public source data and a live demo do not constitute a model-selection accuracy evaluation.
- AI model decision dashboard
A personal prototype turning public Artificial Analysis data into an explorable model-selection interface. Built in three hours to explore AI-assisted development; production security, integrations and support are outside this scope.
On this page
- AI-assisted ordering for construction
Led strategy and delivery for Holcim's AI-assisted ordering experience for construction customers, connecting commercial needs, customer adoption and enterprise workflows.
- Pipesignal: Agentic AI for B2B Project Discovery
A founder-built concept for discovering industrial B2B projects from public signals and organising the research for commercial teams. The intended pre-tender discovery workflow is demonstrated as a product concept, with no audited pipeline or revenue claim.
- Helion Industries: Operational Intelligence Reference Build
An interactive reference build exploring AI-assisted operational briefings for a fictional industrial company. It demonstrates an interface and a proposed decision workflow using fictional data, rather than live industrial performance.
- AI model decision dashboard
A personal prototype turning public Artificial Analysis data into an explorable model-selection interface. Built in three hours to explore AI-assisted development; production security, integrations and support are outside this scope.