Last reviewed: 5 August 2026

The short answer

As public procurement transitions under the Procurement Act 2023 (which went live on 24 February 2025), contracting authorities across England, Wales and Northern Ireland are handling higher volumes of statutory notices, compliance declarations and bid submissions. Some contracting authorities have introduced automated verification tools to help evaluation teams with that volume. How widely, and how far beyond simple document checks, is not something anyone publishes, so treat the sections below as a description of how automated screening works where it is used rather than as a claim about every buyer you will meet.

For SME bidders, this shift fundamentally changes how your proposal is initially processed. Before a human evaluator reads your method statement, automated systems extract data, check mandatory compliance criteria (such as PPN 002 social value missions and PPN 06/21 carbon plans), and cross-reference evidence against tender requirements. Understanding how automated screening works allows bid teams to structure responses so they pass initial filters with full marks.

How public sector buyers use automated screening

Procurement teams do not hand over final contract decisions entirely to machines. Instead, they use automated tools in a hybrid workflow to handle administrative checks and preliminary evidence mapping.

The three main tasks automated screening performs during evaluation include:

  1. Selection Criteria Verification: Automatically checking that mandatory forms, financial accounts, insurance certificates and compliance declarations are present and valid.
  2. Evidence Matching: Scanning written method statements to verify that specific required policies, ISO certifications and numerical case study metrics are explicitly mentioned.
  3. Anomalies and Non-Compliance Flagging: Highlighting missing attachments, incomplete policy responses or unverified claims for human evaluators to inspect immediately.

MAT scoring and automated evaluation

The Procurement Act 2023 replaced the old Most Economically Advantageous Tender (MEAT) award test with the Most Advantageous Tender (MAT). Under MAT, contracting authorities place greater weight on overall quality, service delivery, social value and environmental sustainability rather than purely lowest price.

Because MAT criteria involve multi-layered qualitative evaluation, buyers use automated text analysis to ensure that every sub-criterion is addressed in your submission. If a question asks for three specific risk mitigation steps and your text buries them in generic narrative prose, automated extraction tools may flag your section as incomplete, lowering your initial score.

How to structure responses for hybrid evaluation

To ensure your proposal scores maximum points with both automated filters and human assessors, follow these structural rules:

  • Mirror Question Headings Exactly: Use the exact phrasing and sub-heading numbers provided in the tender specification. This allows parsing tools to instantly map your text to the correct scoring rubric.
  • Lead with Quantified Metrics: State explicit figures early in each paragraph (for example, “Our team delivered 99.8% service uptime across 14 local authority contracts”). Automated tools easily index structured data.
  • Reference Statutory Standards Explicitly: Clearly name relevant regulations and standards, such as PPN 002 social value missions, ISO 27001 or Cyber Essentials Plus, rather than using generic descriptions like “industry best practice”.
  • Provide Clear Evidence Tables: Summarise key qualifications, staff credentials and contract references in structured tables. Tables are easily extracted during initial compliance reviews.

Pitfalls of unevidenced AI content in tender drafting

While buyers use AI for evaluation, many bidders are using generic AI tools to generate tender text. Evaluators are quickly learning to spot unevidenced, generic content.

Submitting text filled with vague assertions without verified company metrics or specific project references leads to low scores. Human evaluators penalise fluff, while automated verification tools fail to find the required supporting data. To win public sector contracts, AI must be used for compliance verification, structural checking and evidence organisation, ensuring every claim is backed by real operational facts.

Frequently asked questions

Do UK public sector buyers use AI to evaluate tenders?

Practice varies by authority and there is no published central figure for how many do. What is certain is that the checks themselves happen: mandatory declarations, certifications, insurance and policy documents are verified at selection stage before a human evaluator scores your quality responses. Structuring a response so those checks pass cleanly is worth doing whether the authority verifies them by software or by hand.

How does AI screening affect Most Advantageous Tender (MAT) scoring?

Under MAT scoring within the Procurement Act 2023, buyers evaluate quality, delivery, and social value. AI screening tools check that every required policy, metric, case study, and compliance statement is explicitly present and structured logically. Omitted evidence or ambiguous wording can result in low automated scoring or disqualification.

How can SME bidders structure responses for both automated and human evaluators?

Bidders should align headings directly with tender specification questions, use clear evidence metrics rather than generic claims, mirror key regulatory terminology, ensure all mandatory annexes (such as PPN 002 or PPN 06/21) are attached, and run automated pre-submission compliance checks.

Will using AI to draft bids harm my tender score?

Using generic AI output that produces unsubstantiated claims or buzzwords will hurt your score because human evaluators and verification tools penalise unevidenced text. However, using domain-specific tender AI tools to verify evidence completeness, map compliance matrices, and check formatting against buyer criteria improves response quality.

Sources

No source is cited for how widely UK contracting authorities use automated or AI-assisted evaluation, because none is published. That part of this piece describes how such screening works where it is used, and is not a measurement of how common it is.


Read the requirements before you answer them

Whether a buyer checks your response by software or by hand, the checks are against what the tender documents state. Paste your tender text into the free Tender Compliance Matrix and it returns the obligations, numbered questions, response limits and weightings the wording states, each with the line it was read from. No account, no upload, no email.

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