Start with the problem

Discuss your project

Send a short note about the operational problem, where it shows up and what happens when it goes wrong. You do not need to decide whether the answer is AI, automation, software or process change.

Your details are only used to respond to your enquiry.

Prefer to talk? Book a call.

Prefer email? hello@smallengine.uk

Senior-led AI, automation and software engineerinG

Senior-led AI, automation and software engineerinG

AI and automation systems, engineered properly.

AI and automation systems, engineered properly.

AI and automation systems, engineered properly.

Identify what is worth changing. Engineer it for real use. Measure the result.

Identify what is worth changing. Engineer it for real use. Measure the result.

Small Engine helps business and technology leaders decide where AI, automation or software can improve capacity, speed, quality or control, then designs and delivers the systems, security, controls and measurement needed to put that change into use.

Small Engine helps business and technology leaders decide where AI, automation or software can improve capacity, speed, quality or control, then designs and delivers the systems, security, controls and measurement needed to put that change into use.

See our work

Work directly with Iain Campbell, former Head of Software Engineering at McLaren Automotive.

Work directly with Iain Campbell, former Head of Software Engineering at McLaren Automotive.

Where worthwhile change shows up

Operational problems become expensive when they limit capacity, quality or speed.

The visible symptom may be a slow quote, an awkward handover or an AI pilot that never leaves the lab. The useful question is what the constraint costs the organisation, and whether changing it is worth the investment.

01

Find where work slows down

We look at where work is slow, duplicated, invisible, inconsistent or too dependent on one person.

Look for:

throughput, workload volume, rework, response time.

01

Find where work slows down

We look at where work is slow, duplicated, invisible, inconsistent or too dependent on one person.

Look for:

throughput, workload volume, rework, response time.

02

More reliable delivery

Unclear requirements, handovers and decision rights create delay long before a project is visibly late. Better systems make commitments easier to keep and progress easier to see.

Look for:

cycle time, predictability, errors, time to market.

02

More reliable delivery

Unclear requirements, handovers and decision rights create delay long before a project is visibly late. Better systems make commitments easier to keep and progress easier to see.

Look for:

cycle time, predictability, errors, time to market.

03

AI that survives contact with operations

A promising prototype is not yet an operational capability. Data, security, controls, ownership, quality and measurement have to work when the system meets real users and real consequences.

Look for:

adoption, quality, exception rates, realised value.

03

AI that survives contact with operations

A promising prototype is not yet an operational capability. Data, security, controls, ownership, quality and measurement have to work when the system meets real users and real consequences.

Look for:

adoption, quality, exception rates, realised value.

The Small Engine Approach

Start with the decision, not the technology

We work with business and technology leaders to find where work stalls, decide what to build, buy, simplify or automate, and deliver the smallest useful improvement.

We work with business and technology leaders to find where work stalls, decide what to build, buy, simplify or automate, and deliver the smallest useful improvement.

We work with business and technology leaders to find where work stalls, decide what to build, buy, simplify or automate, and deliver the smallest useful improvement.

01

Choose a worthwhile intervention

Connect an operational constraint to a material outcome, compare the practical options and establish what would justify investment.

01

Choose a worthwhile intervention

Connect an operational constraint to a material outcome, compare the practical options and establish what would justify investment.

02

Engineer for operational use

Address data, integration, security, quality, controls and ownership alongside the workflow itself, rather than bolting them on after a pilot.

02

Engineer for operational use

Address data, integration, security, quality, controls and ownership alongside the workflow itself, rather than bolting them on after a pilot.

03

Establish what changed

Agree a baseline, measure the result and decide whether to extend, adapt or stop. Time saved only counts when there is a credible route to realised value.

03

Establish what changed

Agree a baseline, measure the result and decide whether to extend, adapt or stop. Time saved only counts when there is a credible route to realised value.

Current Work

Engineering evidence, with the boundaries left visible.

Real work is more useful than a long capability list. Current design-partner delivery is building the controls needed to keep technical information consistent, traceable and safe to publish as it changes.

Design-partner delivery · in progress

Keeping technical information consistent, traceable and controlled

Structured information, controlled publication mappings, validation and explicit evidence boundaries.

Inspect the work

What it demonstrates

  1. Authoritative information is separated from presentation.

    Changes can be governed at the source rather than patched into individual pages.

  2. Invalid changes can be stopped.

    Validation and representative negative cases make failure behaviour inspectable.

  3. Claims stay bounded by evidence.

    Current status is explicit: complete production operation and measured business outcomes are not yet claimed.

Ways to work together

A bounded decision. A focused delivery. Or senior support across the system.

The engagement follows the problem. You do not need to choose the format before the first conversation.

14 Days - Fixed Scope

Diagnostic Sprint

Establish whether a defined operational problem warrants investment, what should change first and what reliable use would require.

14 Days - Fixed Scope

Diagnostic Sprint

Establish whether a defined operational problem warrants investment, what should change first and what reliable use would require.

Focused build

System delivery and improvement

Design and deliver a new operational system, or improve an existing workflow where the requirement and ownership are already clear enough to act.

Focused build

System delivery and improvement

Design and deliver a new operational system, or improve an existing workflow where the requirement and ownership are already clear enough to act.

Ongoing senior support

Technology & operating model reset

Senior technical and delivery support where several teams, systems or decisions need to move together without building a large permanent programme.

Ongoing senior support

Technology & operating model reset

Senior technical and delivery support where several teams, systems or decisions need to move together without building a large permanent programme.

See how we work

Fit

Our main focus is established UK businesses with valuable operational workflows and clear ownership of the problem. We also consider bounded work with teams and divisions in larger organisations where direct senior engineering involvement is a good fit.

Not a low-cost development body shop. Not a tool-first automation agency. Not an enterprise transformation programme.

Senior-led AI, automation and software engineering. Based at Sussex Innovation Centre, University of Sussex, in Brighton. Working with organisations across the UK.

🌱 Small by design: focused systems, fewer wasted tools, remote-first where practical.

Senior-led AI, automation and software engineering. Based at Sussex Innovation Centre, University of Sussex, in Brighton. Working with organisations across the UK.

🌱 Small by design: focused systems, fewer wasted tools, remote-first where practical.

Senior-led AI, automation and software engineering. Based at Sussex Innovation Centre, University of Sussex, in Brighton. Working with organisations across the UK.

🌱 Small by design: focused systems, fewer wasted tools, remote-first where practical.