Power to the Frontline
Operational Inference
Operational Inference translates expert knowledge, technical research, and applied AI into practical tools for frontline operators.
In critical industry, knowledge often sits far from the point of decision. Operational Inference closes that distance with publishing, software, and knowledge systems designed for the plant floor, the field, and other high-consequence operating environments.
Mission
Bring high-value knowledge closer to frontline decision-making.
Operational Inference builds practical systems that move knowledge from research, regulation, engineering analysis, equipment documentation, and experienced operators to the people responsible for safety, continuity, and performance.
Led by Keith Wilkinson, a Grade T5 water treatment operator and software builder, the project combines field credibility with implementation capability. The aim is not abstract innovation. It is better judgment, better training, and better tools for the people who keep essential systems running.
Portfolio
A focused portfolio built around operational capability.
01
Title22
A publishing platform that translates technical research,
engineering theory, and regulatory material into language
that operators, technicians, and public-sector practitioners
can use.
02
Operational Tools
Software, calculators, simulators, and technical interfaces
designed to make specialized analysis usable at the point of
work without requiring a wholesale replacement of existing
systems.
03
Knowledge Systems
Methods and applied AI systems for capturing expert judgment,
structuring domain knowledge, and turning it into usable
support for training, decision-making, and operational
continuity.
Approach
Built from real work, not generic automation.
01
Start with the work
Each project begins with the operating environment, the decisions at stake, and the constraints practitioners already face.
02
Design for adoption
The work is designed to fit real files, real workflows, and real institutions so it can be used in practice rather than admired from a distance.
03
Preserve expertise
The long-term objective is durable capability: systems that make expert judgment more transferable, inspectable, and available to the next generation of operators.
Current Position
A portfolio ready for partners, pilots, and support.
Operational Inference already includes live publishing, working software, and a clear method for building domain-specific knowledge systems. The next phase is disciplined expansion through dedicated program pages, pilot deployments, and strategic partnerships.