Three interconnected domains.
Industry 5.0
Human-centric. Resilient. Sustainable.
Industry 5.0 reframes the goals of industrial transformation — from pure efficiency and automation to a model where technology serves human capabilities, builds organisational resilience, and supports sustainable operations at enterprise scale.
02Knowledge Graphs for Enterprises
From data to context. From context to reasoning.
Most enterprise AI deployments underperform not because the models are wrong, but because the knowledge infrastructure is insufficient. Rules, relationships, constraints, and institutional logic remain locked in documents, systems, and people — inaccessible to AI at the moment a decision is needed.
03Next-Generation Operations Systems
Applied intelligence for complex operations.
Operations systems are being redesigned from first principles. The question is no longer how to automate more tasks or layer AI onto existing workflows. It is how to architect systems where physical processes, digital intelligence, and human judgment are structurally integrated — with defined boundaries, reliable handoffs, and governance built into the design itself.
Papers & essays.
Robotic Process Automation: A Qualitative Journey Through RPA's Impacts on Company Employees
Thirteen interviews across four multinationals on what RPA actually does to the people around it — and why the answer depends on whether the automation strategy was task-oriented or process-oriented.
File-Based Knowledge Graphs and Retrieval-Augmented AI for Complex Project Delivery
An end-to-end design pattern for knowledge graphs whose canonical form is structured files rather than a graph database — built and tested on a multi-year, multi-site industrial MES implementation.
Reconfigurable Smart Production System for Prefabricated Panelised Construction
A reconfigurable production architecture for panelised construction that holds design intent, fabrication sequence, and site assembly coherent across variant design spaces.
OpenFoundry — the foundry for
operational intelligence
OpenFoundry is my working answer to the question the research keeps returning to: what does the infrastructure have to look like before an AI agent can be trusted with an operational decision? It turns fragmented plant and enterprise data into a governed, ontology-grounded context layer — data, documents, rules, and domain concepts connected into one queryable foundation with a traceable line from any answer back to its evidence.
Apollo-1
Apollo-1 is the agent I built inside OpenFoundry to test the architecture against something real. It runs as a reference deployment on a coal-fired boiler — investigating anomalies, tracing root cause across sensors, alarms, and procedure, and sealing every step into an auditable record.
Research-led.
Built in production.
I work on the knowledge infrastructure that enterprise AI needs and rarely has. My research covers knowledge graphs and ontology governance, human-AI collaboration in industrial settings, and the design of operations systems where physical processes, digital intelligence, and human judgment are structurally integrated.
None of it is theoretical. Every pattern I publish has been built and tested inside real deployments — multi-year industrial programmes with imperfect data, legacy systems, and decisions whose consequences are physical.
