The UK construction industry moved £140.7 billion worth of work in 2024. Behind every one of those projects, someone had to win the tender. That process, often slow, expensive and opaque, is starting to change.
Platforms are now using AI to score bids, flag compliance gaps and rank suppliers in seconds. What used to take weeks of manual review is being compressed into hours. And that raises some important questions about who benefits and who gets left behind.
What the Procurement Platforms are Doing
Procurement platforms like Delta eSourcing, used by over 500 UK public sector bodies, are integrating AI into their evaluation workflows. The tools automate eligibility checks, verify accreditations, match bid content against evaluation criteria and flag anomalies that might suggest fraud. Jaggaer's JAI assistant auto-scores suppliers against compliance criteria, requests missing documentation and initiates onboarding workflows without human intervention.
Atamis, trusted by UK central government departments, allows buyers to build structured evaluation workflows with reporting built in. The aim is consistency and auditability, which procurement regulations increasingly demand.
The Procurement Act 2023, which came into force in February 2025, has added a new layer of transparency obligations. Early data shows 23% of above-threshold tenders already use the new Competitive Flexible Procedure. That's rapid uptake, and AI tooling is part of what makes it manageable.
UK Construction Procurement: Key Numbers
£140.7bn : Value of UK construction output in 2024 (ONS)
£80bn : Crown Commercial Service construction framework over 7 years
23% : Tenders using the new Competitive Flexible Procedure (2025)
10% : Projected growth in UK public sector procurement spend for 2024-25
The Transparency Problem
Algorithmic scoring sounds objective. In practice, it can introduce new forms of opacity. The Digital Regulation Cooperation Forum found that buyers often lack the technical expertise to scrutinise the systems they procure, while vendors limit what they share to protect commercial interests.
When something goes wrong, disputes get complicated. Arbitration cases have repeatedly turned on whether algorithmic scoring criteria were disclosed, whether weightings were fair and whether human oversight was sufficient. In one case, a Ministry of Justice tender for digital transformation was found to require documented AI scoring rationale for all bidders, after a supplier claimed the model breached contractual fairness obligations.
"Buyers often lack the technical knowledge to understand performance metrics and adequately scrutinise the algorithmic systems they are procuring."
The SME Access Problem
For small and mid-sized construction firms, AI-powered procurement is a double-edged tool. On one hand, platforms can surface relevant opportunities faster, automate compliance checks and help smaller teams produce better-quality bids. On the other, firms without digital infrastructure or dedicated bid writers risk being systematically outscored by larger competitors who have invested in matching AI tools.
The government's new Dynamic Markets allow suppliers to join framework agreements part-way through, removing the old "wait four years" barrier. That's a genuine improvement. But access to the tools that optimise bids for AI evaluation still costs money that many SMEs do not have.
What Responsible Procurement AI Looks Like
Good AI in procurement is not about automating decisions. It is about augmenting them. That means publishing the criteria and weightings used in algorithmic scoring. It means giving all bidders access to the same data. It means keeping a human in the loop for contract award decisions.
The government's PPN 017 guidance from February 2025 now encourages suppliers to disclose where AI has been used in preparing bids, and sets out how contracting authorities should handle that disclosure without penalising it. That is a sensible start. The harder work is ensuring the scoring models themselves are explainable, auditable and fair, regardless of who is bidding.
The quiet revolution is real. Whether it is a fair one depends on what questions procurement teams are willing to ask of the systems they adopt.
Building AI Competence in the Built Environment
The Responsible with AI programme gives built environment professionals the tools, frameworks and practical guidance to govern AI confidently. From procurement policy to responsible deployment across the project lifecycle.
Explore the Programme → Responsible with AI




