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ForesightFleet Solutions
Case studies

Programmes measured on outcomes, not attendance

Three representative programmes showing how assessment, targeted development and re-scoring change a fleet’s risk profile. Organisations are described by sector rather than named, and the figures are illustrative placeholders.

Aggregate across all programmes

386
Drivers assessed to date
29%
Average reduction in high-risk classification
4.6/5
Average driver satisfaction score
Case study 01Engineering

Regional Engineering Firm

48 drivers · 44 vans, 4 cars

32% reduction in high-risk driving behaviours

The challenge

A multi-site mechanical and electrical contractor was carrying a rising at-fault claims frequency, almost entirely low-speed damage on customer sites and kerbside. Insurers had flagged the trend at renewal and the business had no documented view of which drivers were driving it.

Our approach

  1. 01Fleet-wide 90-minute on-road assessment across all 48 drivers over nine weeks
  2. 02Risk classification and a fleet summary identifying manoeuvring and gap selection as the dominant themes
  3. 03Targeted development for the 14 drivers classified Medium or High risk
  4. 04Re-assessment of the development cohort at four months

The outcome

Recorded high-risk behaviours across the assessed cohort fell by 32% at re-assessment. At-fault damage incidents fell from 47 to 22 over the following twelve months, and the broker accepted the programme documentation as evidence of active risk management at renewal.

We knew we had a problem on site manoeuvring but we could not prove where it sat. The reports gave us fourteen names and a plan for each of them. That is the first time fleet risk has been actionable for us.
Marcus EllwoodOperations Director, Regional Engineering Firm
48
Drivers assessed
32%
Fewer high-risk behaviours
£41,600
Estimated annual damage avoided
9 wks
Full fleet completed

Risk distribution: before and after

Share of the assessed cohort in each classification.

Low riskMedium riskHigh risk
At baseline assessment41% low · 29% high
41%
30%
29%
After development programme68% low · 10% high
68%
22%

At-fault incidents by quarter

Twelve months before the programme against the twelve months following it.

12 months before12 months after
07.515117Q1146Q294Q3135Q4

Post-programme classification mix

68%Low risk
22%Medium risk
10%High risk

Measured at re-assessment following the development phase.

Case study 02Housing

Metropolitan Housing Provider

126 drivers · repairs & maintenance

Grey fleet brought inside a single risk framework

The challenge

A housing provider ran 96 liveried repairs vans alongside 30 employees using their own vehicles for tenant visits. The grey fleet was effectively unmanaged: no documented risk assessment, inconsistent insurance evidence and no visibility of driver competence.

Our approach

  1. 01Policy gap review against HSE driving-for-work guidance
  2. 02Assessment of all 126 drivers, including grey fleet, to one standard
  3. 03Journey risk review of estate access, reversing and pedestrian exposure
  4. 04Rolling annual re-assessment built into the induction process

The outcome

Every driver, including the grey fleet, now sits within one documented risk framework with a review date. Reversing and manoeuvring incidents on estates fell 27% year on year, and the internal audit committee closed a long-standing open finding on work-related road risk.

Our grey fleet was the gap nobody wanted to open. Foresight assessed those thirty drivers to exactly the same standard as our own vans, and now I can show the committee a single register.
Priya RaghunathanHead of Health, Safety & Assurance, Metropolitan Housing Provider
126
Drivers assessed
100%
Grey fleet documented
27%
Fewer reversing incidents
4.6/5
Driver satisfaction

Risk distribution: before and after

Share of the assessed cohort in each classification.

Low riskMedium riskHigh risk
At baseline assessment37% low · 29% high
37%
34%
29%
After development programme71% low · 8% high
71%
21%

At-fault incidents by quarter

Twelve months before the programme against the twelve months following it.

12 months before12 months after
012.5251813Q12112Q2169Q31911Q4

Post-programme classification mix

71%Low risk
21%Medium risk
8%High risk

Measured at re-assessment following the development phase.

Case study 03Utilities

Regional Water Utility

212 drivers · emergency response

Fuel down 9.4% across a 212-driver response fleet

The challenge

A water utility operating a 24/7 emergency response fleet faced fuel and maintenance costs rising faster than mileage, plus a cluster of harsh-braking events in telematics data concentrated in night-shift crews.

Our approach

  1. 01Telematics-led triage to prioritise the 60 highest-exposure drivers
  2. 02Combined eco-driving and defensive driving delivery with measured baseline routes
  3. 03Night-shift specific coaching on fatigue, low-light observation and speed choice
  4. 04Quarterly management information pack aligned to the fleet KPI dashboard

The outcome

Measured fuel consumption fell 9.4% across the programme cohort and harsh-braking events dropped 38% in the six months following delivery. Tyre and brake replacement intervals extended measurably, and the programme now runs on a rolling annual cycle.

The measured baseline is what sold it internally. We were not asked to believe in a saving — we were shown the same route, same driver, same van, nine per cent less fuel.
Callum WrightsonFleet & Logistics Manager, Regional Water Utility
212
Drivers in programme
9.4%
Fuel consumption reduction
38%
Fewer harsh-braking events
£118k
Annualised cost saving

Risk distribution: before and after

Share of the assessed cohort in each classification.

Low riskMedium riskHigh risk
At baseline assessment44% low · 25% high
44%
31%
25%
After development programme74% low · 7% high
74%
19%

At-fault incidents by quarter

Twelve months before the programme against the twelve months following it.

12 months before12 months after
017.5352619Q13117Q22414Q32916Q4

Post-programme classification mix

74%Low risk
19%Medium risk
7%High risk

Measured at re-assessment following the development phase.

These case studies are illustrative: client organisations are described by sector and scale rather than named, and the figures shown are representative placeholders for demonstration rather than audited client results. Real outcomes depend on fleet profile, programme scope and the actions an organisation takes on the findings, and are never a guarantee.

Talk about your fleet
Testimonials

What fleet, safety and operations leaders tell us

Feedback of the kind gathered at client programme reviews, from the three roles that own fleet risk: fleet management, operations and health & safety.

The written reports are the difference. Our previous provider gave the driver a chat and us nothing. Now every driver has a scored report on file and I can walk into an audit with it.
RKRachel KinsellaHealth & Safety ManagerBuilding services contractor, 180 vehicles
We assessed 62 engineers across four depots in under three months without losing a single scheduled job. The scheduling was handled around our diary, not theirs.
DADominic AshworthFleet ManagerNational telecoms infrastructure firm
The Low, Medium, High classification changed the conversation with our board. Twenty-nine per cent of our drivers were High risk. That number got the training budget approved in one meeting.
YBYvonne BaptisteOperations DirectorRegional facilities management group
What I appreciated was the tone. Our engineers are experienced people and they would have rejected anything that felt like a driving lesson. This felt like a professional review, and they took it seriously.
SOStephen OkonkwoHead of Field OperationsWater and wastewater services
We used the post-incident assessment for a driver returning after a serious collision. It gave HR and me a documented recommendation instead of a judgement call. That was worth a great deal to us.
AMAlison MarchettiHR DirectorCare provider, 240 community staff
Our broker specifically asked what we were doing about driver risk at renewal. Handing over the fleet summary report and the development records was the most useful ten minutes of that meeting.
GPGareth PembertonGroup Fleet & Compliance ManagerCivil engineering and utilities, 310 vehicles

Names, job titles and organisations shown here are illustrative placeholders created for this site rather than named client references.

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