Understand what is there.
Listen to the people using the system. Trace its dependencies and record the behaviour that matters before deciding what to change.
Based in Manchester, Toltec brings thirty years of infrastructure experience and fifteen years of software engineering to the systems organisations rely on. Production AI has been part of our work since 2023.
A reliable application still needs a sound platform, appropriate access and a recovery plan. We look at those connections before recommending a change, and explain the important trade-offs in plain terms.
Listen to the people using the system. Trace its dependencies and record the behaviour that matters before deciding what to change.
Bring software, infrastructure and security into the same design. When AI is useful, connect it to that design with clear limits and a way to check the result.
Explain the choices, test the agreed requirements and document the remaining gaps. Leave the people running the system with clear responsibilities and useful information.
Our experience spans these sectors. The setting shapes the questions we ask about users, information, continuity and the organisation’s capacity for change.
Scope, outputs and responsibilities are agreed before work begins. Each stage leaves something concrete to review.
Investigate the objective, users, data and constraints.
Output / a shared problem definitionSet out the design, interfaces, controls and trade-offs.
Output / an agreed engineering planBuild and test the work, including the important failure cases.
Output / tested, documented workPrepare monitoring, recovery and the route into support.
Output / clear operating responsibilitiesA review helps you decide what to do next. A defined build or improvement tackles a known problem. Ongoing engineering supports systems already in use, with coverage and ownership agreed.