Case StudiesJustice — His Majesty's Prison Service

Ministry of Justice / Kier Group

HMP Five Wells

Helping a major UK custodial estate unlock smarter building performance through data, controls and AI-ready optimisation.

Lead Contractor

Kier Group

Environment

UK Custodial Estate

Platform

Digital Building Platform

Savings Identified

7 Systems

Future Decisions supported a Ministry of Justice / Kier Group project at HMP Five Wells, with Kier Group acting as lead contractor. The work focused on improving operational visibility, identifying energy-saving opportunities and preparing the building for smarter, AI-ready optimisation.

Using the Future Decisions Digital Building Platform, existing building data was combined with targeted sensor uplift and detailed operational analysis to reveal how the building was performing in real day-to-day use. For a complex Ministry of Justice environment, this provided a clear evidence base for better control, better reporting and more efficient building operation.

Project Context

HMP Five Wells is part of the UK custodial estate and represents the type of complex, high-demand environment where building performance, resilience, comfort and operational efficiency all matter.

Future Decisions worked within the wider Ministry of Justice / Kier Group delivery environment, with Kier Group leading the contractor role. Our role was to provide the specialist data, controls and operational intelligence layer needed to understand how the building was actually operating — and where improvements could be made.

This included reviewing building systems, connecting operational data, analysing performance and identifying practical opportunities to reduce energy waste across heating, ventilation, lighting and water systems.

The Challenge

Large operational buildings often contain valuable data, but that data is usually spread across separate systems. Information may exist inside the BMS, meters, lighting controls, heating systems, ventilation plant, water systems and environmental sensors — but it is not always joined together in a way that supports clear decision-making.

This can make it difficult to understand:

  • Where energy is being wasted
  • Whether systems are running in line with real demand
  • Whether comfort conditions are being maintained
  • Whether hidden faults are affecting performance
  • Whether control strategies are working as intended
  • Where operational changes will deliver the best return
  • How the building can be prepared for AI-led optimisation

Future Decisions helped turn this disconnected operational data into clear, usable insight.

Future Decisions' Role

Future Decisions provided the performance intelligence layer for the project. Using the Future Decisions Digital Building Platform, building data was collected, structured and analysed over time — allowing the project team to move beyond isolated readings and build an evidence-led view of how the building behaved in real operation.

Our work included:

BMS integration
Long-term operational monitoring
Targeted sensor uplift
Energy and utility analysis
Lighting performance analysis
Heating system analysis
Ventilation analysis
Hot water and water-use analysis
Comfort and environmental monitoring
Automated anomaly detection
Identification of energy-saving opportunities
Recommendations for operational improvement
Preparation for future AI augmentation

The result was a clearer understanding of how the building was operating, where waste existed and how existing systems could be improved without unnecessary replacement.

Identified Savings Opportunities

Future Decisions identified practical savings opportunities across several major building systems, using real operational data rather than guesswork.

Residential AHUs

Electrical energy saving

Up to 35%

Residential ventilation heating

Gas reduction

Up to 20%

Support-wing ventilation

Electrical energy saving

Up to 17%

Support-wing ventilation heating

Gas reduction

Up to 14%

Underfloor heating control

Gas saving opportunity

30–40%

Internal lighting controls

Lighting energy saving

4.8%

Domestic hot water

Reduced utility use period

~41%

These figures are system-level opportunities identified through analysis, not guaranteed whole-building savings.

Lighting Performance

Future Decisions analysed lighting operation to understand runtime, control behaviour, fault reporting and potential efficiency improvements. The analysis identified opportunities to reduce unnecessary lighting runtime, improve visibility of lighting faults and make better use of lighting control data for operational reporting.

Savings were identified through relatively simple control adjustments, with further value available through improved fault reporting and automated testing processes. This demonstrates how existing building systems can often deliver more value when their data is properly collected, interpreted and acted upon.

Water and Hot Water Demand

Water and hot water systems were reviewed to understand demand patterns and how those patterns related to building use. Future Decisions identified repeatable demand behaviour that could support more intelligent operation of domestic hot water systems.

Hot water systems are often operated conservatively, using energy to maintain readiness even during lower-demand periods. By learning actual usage patterns, Future Decisions identified opportunities to reduce waste while maintaining service quality, comfort and operational requirements.

Heating Optimisation

Heating was a major area of opportunity. Future Decisions analysed heating behaviour, comfort conditions and operational demand to understand where control could be improved — identifying opportunities to reduce unnecessary heating demand, improve temperature profiles and better align heating operation with real comfort needs.

This is central to the Future Decisions approach: energy saving should not mean poor comfort. Buildings should be controlled intelligently, using data to reduce waste while maintaining the internal conditions people need.

Ventilation Optimisation

Ventilation is essential for air quality, but it can also be a major energy consumer. Future Decisions used environmental and operational data to identify where ventilation could become more demand-led — supporting opportunities to reduce unnecessary fan and heating energy while maintaining air quality.

This creates a route away from fixed assumptions and towards smarter ventilation strategies based on real building behaviour.

Comfort-Led Analysis

Energy reduction must be balanced with comfort and wellbeing. Future Decisions combines energy analysis with environmental monitoring — including temperature, humidity and CO₂ where appropriate — allowing operational changes to be assessed against real internal conditions, not energy use alone.

The aim is to reduce waste while protecting comfort and supporting better building performance.

Continuous Monitoring and Anomaly Detection

The project demonstrated how continuous monitoring can reveal issues that may be missed by periodic inspections or manual checks. The Future Decisions Digital Building Platform can compare live and historical data against expected behaviour — helping identify abnormal operation, sensor issues, control problems and inefficient system behaviour.

This supports a more proactive approach to facilities management. Instead of waiting for complaints, high bills or system failures, building teams can identify issues earlier and act with better evidence.

Preparing for AI Augmentation

The project demonstrated a clear pathway toward AI-assisted building optimisation. Traditional BMS control is often based on fixed schedules, fixed setpoints and manual adjustment — approaches that do not continuously adapt to changing occupancy, weather, seasonal conditions, equipment performance or building behaviour.

AI augmentation can help buildings:

Learn normal patterns of use
Predict demand before it occurs
Reduce unnecessary heating, ventilation and lighting
Detect faults earlier
Support comfort-aware control
Adapt to weather and seasonal change
Improve reporting and decision-making
Continuously refine performance over time

The key point is that this does not require replacing the existing BMS. Future Decisions augments the systems already in place, helping clients get more value from their existing building infrastructure.

The Value Delivered

The HMP Five Wells project demonstrates how Future Decisions helps complex buildings become more efficient, better understood and easier to optimise. The work created value by:

Connecting operational data
Identifying savings opportunities
Improving visibility of building performance
Supporting comfort-led analysis
Highlighting system inefficiencies
Enabling earlier fault detection
Strengthening the evidence base for operational change
Preparing the building for AI-led optimisation

Conclusion

The Ministry of Justice / Kier Group — HMP Five Wells project shows how Future Decisions helps organisations get the very best from their buildings. Working within a major public sector estate environment, with Kier Group as lead contractor, Future Decisions used BMS integration, sensor uplift, continuous monitoring and operational analysis to identify practical opportunities across heating, ventilation, lighting and water systems.

Connect the data, understand the behaviour, identify the waste, improve the controls and prepare for AI augmentation.

ProjectMinistry of Justice / Kier Group — HMP Five Wells
Lead ContractorKier Group
EnvironmentMajor UK custodial estate
RoleBMS integration, sensor uplift, operational analysis and AI-ready building optimisation
Systems ReviewedBMS, metering, lighting, ventilation, heating, water systems and environmental sensors
Key OutcomesEnergy-saving opportunities, improved operational insight, comfort-led analysis, anomaly detection and AI augmentation pathway
PlatformFuture Decisions Digital Building Platform