Technology Project of the Year Award
The winner for this category has now been announced. Congratulations to all our finalists in this category.
Recognising and rewarding projects that progress technology and communication change across all sectors to deliver considerable benefit to end users.
Our highly sought-after project of the year categories are designed to recognise project excellence, both in delivery and outcomes. There are four Project of the Year Award categories, representing different types of projects. The winners of each of these awards are entered into the prestigious overall project of the year category, of which there is one winner.
The Technology Project of the Year Award is given to the team whose project demonstrates the most effective use of project management and the greatest benefits and outcomes to end users in technology and communication projects.
We require entrants to all Project of the Year categories to produce a submission of 1,500-2,500 words (in English) based on the judging criteria for that category. Entrants may also submit up to four pieces of supporting evidence - images or graphics only (no text apart from captions). Evidence must support information already included in the submission and must not introduce additional elements. Please see further details on the ‘Supporting evidence’ tab of the Awards platform. Video and audio is not accepted as part of the submission.
The Technology Project of the Year category is a two-stage judging category, the first stage being the written submission mentioned above and the second stage requires all finalists to present virtually to a panel of judges. Projects from all sectors, and from across the globe, may apply.
This submission describes an innovative and technology-based project combining the skills and experience of MIGSO-PCUBED, greyfly.ai and DHL.
Recent advancements have unlocked the power of Artificial Intelligence (AI) capability to support data-driven decisions, to improve efficiency in project management and to improve project outcomes.
The Intelligent Project Prediction (IPP) platform uses advanced analytics and machine learning to predict project outcomes to enable better risk focus, to improve decision-making, and to enhance project management maturity.
Judges comments
An innovative and fascinating program, Intelligent Project Prediction utilizes AI to enhance project outcomes and predict performance. Results in the UK pilot, focused on delivery for DHL Worldwide, have been exceptionally positive to date, covering all areas of delivery, and paying particular attention to security and data privacy.
Images are for illustration purposes only.
Judges Special Mention | Digital National X-ray Competency Test (DNXCT) Project - Department for Transport,
Civil Aviation Authority and PA Consulting
X-ray competency assessments are vital to aviation: training 15,000 screeners to safeguard 273m passengers travelling through the UK every year.
Outdated assessment technology was putting passengers’ lives at risk and urgency was growing because modern x-ray equipment required new technology. New digital assessment technology was critical. Normally this takes 5+ years to develop, but DfT/CAA had <18 months so had to find a completely different way to deliver the Digital National X-ray Competency Test (DNXCT).
With PA’s support, DfT/CAA designed a new delivery model and successfully rolled-out DNXCT across 138 airports on time, to budget and without disruption to passengers.
Judges comments
The combined Department for Transport, Civil Aviation Authority and PA Consulting team were particularly commended for the speed in which they achieved change in a complex regulatory environment.
Finalist | PACE Digital - Method Grid
PACE Digital was a remarkable technology project - a collaboration between Network Rail and Method Grid. PACE is Network Rail’s project controls and assurance framework.
PACE Digital involved the complex build-deployment of a structured, multi-media, fully accessible rendition of this framework – as empowering all project management professionals at Network Rail (c. 20,000 staff), and across the UK rail industry.
This was a truly strategic intervention with respect to the critical nature of the portfolio (UK plc infrastructure) and the force-multiplying enablement of such cross-supply chain collaboration, as the industry enters the CP7 control period (c. £47bn investment).
Finalist | Petplan Machine Learning Artificial Intelligence Project - Allianz UK
The project introduced Machine Learning/Artificial Intelligence capability into the Allianz (APM corporate affiliates) Petplan business in 2024. Petplan is the UK’s No.1 pet insurer, insuring over 1.3 million pets.
This was a large technical innovation project, governed in accordance with the AZ project methodology which mandates management and technical products to provide appropriate controls, and achieve the right outcomes.
Our significant software development workstack was delivered using the agile scrum framework. The project over-delivered against its business case, received a 100% project audit outcome and team members continue to receive recognition for their work through internal and industry award bodies.