We help process plants understand problems, use existing systems where they work, and add only what is missing. Not every engagement involves AI.
Assess
Find the problem worth solving.
Plant problem identification, readiness assessments, working sessions, workshops, value and feasibility review, pilot selection, and a 30/60/90-day roadmap where appropriate.
Not every problem requires AI. The response may be a work-process change, better instrumentation, control improvement, reliability work, conventional analytics, or first-principles engineering. We will say so when AI is not useful.
Plant data readiness review: asset hierarchy, tag naming, alarm health and historian quality, checked against ISA-95, ISA-5.1 and ISA-18.2
Connect
Industrial Data & Context Integration
Bring together the information needed to understand the problem. Useful data often already exists across DCS, PLC, SCADA, historian, CMMS/EAM, ERP, LIMS, alarms, engineering documents, SOPs, P&IDs, maintenance history, equipment information, and operator observations.
The objective is usually not to replace these systems. It is to connect the relevant information and add enough context — equipment, asset hierarchy, time, operating state, process relationships, maintenance history, engineering knowledge — to make it useful for engineers, operators and maintenance staff.
Asset hierarchy and historian structure, tag cross-references, alarm and cause-and-effect records, organised so people and AI tools read the same plant structure
Specify
Choose well. Specify clearly. Check the result.
Choose
Commercial software is often the right answer. We help compare options on fit, lifecycle cost and maintainability. We hold no vendor relationships.
Integrate
Do not replace working plant systems without good reason.
Specify
Where a gap needs purpose-built software, we write plant-ready requirements for your chosen developer or supplier and review the work against them.
Own
Keep reasonable control of your plant data, workflows and engineering knowledge, and reduce unnecessary dependence on any one supplier.
We do not develop, sell or license software products.
Adopt
Put the solution into the actual work.
Technology creates value when it is used in operations, maintenance, reliability, process engineering, automation/process control, IT/OT, and by supervisors and management.
We support workflow integration, training, change management, governance, ownership, human review, performance measurement, and continuous improvement.
AI suggests. Your staff decide. We do not imply autonomous operation of process plants.
Plant Domain Expertise for Consultants, AI Firms and Product Owners
Plant knowledge for a project — or ongoing.
Firms building tools for process industries often lack people who have run plants. We provide that knowledge as a service:
Translate plant problems into requirements a product team can build to
Review designs, data models and AI answers for engineering sense
Structure plant information to recognised standards (ISA-95, ISA-5.1, ISA-18.2, ISO 14224) so people and AI tools read the plant the same way
Help explain products to operators, engineers and plant managers
Support consultants with plant expertise on their client engagements
We work as an independent specialist. We do not compete with the products we help shape.
Workshops
Focused working sessions for cross-functional plant teams. Scope and commitments are on the workshop pages.
Optional anonymous surveys to explore themes before a deeper engagement. There is no obligation to submit. Responses are aggregated; they are not shared publicly.
