AI RFP software · UK public procurement · updated 17 August 2026

AI RFP software, and the half nobody sells

AI RFP software drafts, checks and assembles your response. Every product in this category does that, and most of them do it well.

None of them tell you what happens next. In UK public procurement the award criteria, their weightings, the assessment methodology and the eventual award are all published — section 23 of the Procurement Act 2023 requires it. Writing faster is worth something. Knowing how you will be marked is worth more.

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What the buyer publishes

Not a product feature list — a statutory one. Each row is a disclosure a UK contracting authority is required to make under the Procurement Act 2023, in the order you meet it. The sections of the Act that require them are cited in full below.

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Start with what the category is, because the category is narrower than the phrase.

What AI RFP software actually does

The category has a settled definition, and it is a sell-side one. Gartner defines RFP Response Management applications as software that enables the seller to streamline and automate the creation, issuance and management of RFP and RFI responses. [14]

That sentence does more work than it looks like it does. It means the entire category — every product you will find searching this term — is built for the supplier answering the document, not the buyer issuing it. Software that helps a buyer write and score an RFP exists and is a real market, but it does not appear in this search: it ranks for “e-sourcing”, “vendor evaluation” and “RFP scoring” instead. Two markets, one phrase, no overlap.

Within the sell-side definition, the functions are consistent across products, and it is worth being plain about which of them are genuinely AI and which are search with a new label:

Requirement extraction — “shredding”

Reading a tender pack and turning it into a list of things you must answer, one row per requirement, each traceable to the page it came from. This is the highest-value function in the category and the least glamorous. It is also the one that matters most in UK public work, because section 19(3)(d) lets a buyer disregard a tender that breaches a procedural requirement — and section 19(11) defines that to include a requirement to provide information. [2]

Content retrieval from a library

Finding the answer you already wrote, when the question is worded differently. Mostly this is semantic search over an embedding index. It is genuinely useful and it is not new; the AI layer improves recall, not the underlying idea.

First-draft generation

A language model writing a response from your own past content plus the question. The quality ceiling here is set by your library, not by the model — a tool drafting from thin source material produces confident, fluent, unsupported prose, which scores worse than a short honest answer.

Compliance and consistency checking

Word counts, mandatory-question coverage, contradictions between answers, stale claims. Unfashionable and quietly the second most valuable thing on the list.

What it is not

It is not a tender-finding tool. Discovery — knowing the opportunity exists, and whether it is winnable — is a separate function with separate products. We cover it on AI RFP discovery.

It is not an evaluator

No product in this category scores your bid the way a UK contracting authority will, because the authority scores against a methodology it publishes per procurement. A tool can check you answered the question. Only the published criteria tell you what the answer is worth.

And it is not a substitute for a bid decision

The category starts at “you have an RFP on your desk”. It never asks how it got there, who holds the contract now, or how often that incumbent retains. That is the half this page is about.

You searched RFP software. The UK buyer says tender.

This is not pedantry and it is not a British quirk. The word you use determines which products you find, and the products you find on this term were built for a market with different rules.

“RFP” has no definition in the Procurement Act 2023. The Act’s vocabulary is tender notice, tender, open procedure and competitive flexible procedure. A UK contracting authority may well title its document a request for proposal — plenty do — but what determines your deadlines, your entitlement to an assessment summary and your right to challenge is the procedure underneath, not the word on the cover.

The practical consequence is a vocabulary gap that runs straight through this SERP. The products ranking for “AI RFP software” are overwhelmingly US-origin and describe a commercial B2B sales motion. The products built for UK public tendering rank for “tender software”, “bid management software” and “PQQ”. If you searched the first phrase and you are bidding for UK public work, you are looking at the wrong shelf — not because the tools are bad, but because none of them model the thing that decides your score.

The document you answer SoftwareRFP, RFI, RFQ — distinguished by how much the buyer has already decided. UK buyerInvitation to tender (ITT), or tender documents. The Act calls what you submit a tender.

The qualification stage SoftwareVendor questionnaire, security questionnaire, DDQ. UK buyerStandard Selection Questionnaire, still widely called the PQQ. Increasingly held once on the central digital platform rather than re-asked.

How the winner is chosen Software“Win themes”, “evaluator preferences” — inferred, and treated as tacit. UK buyerThe most advantageous tender against award criteria the authority has published, with their relative importance stated. [2]

Feedback after the decision SoftwareA debrief call, if the buyer offers one. Usually not. UK buyerAn assessment summary, plus a standstill period before the contract can be entered into.

Where the opportunity is published SoftwareYour inbox, a portal login, or a relationship. UK buyerFind a Tender and Contracts Finder, as a matter of law, with the award notice published afterwards. [13]

We take the terminology apart properly on RFP vs tender and RFP tender. The short version: if the buyer is a UK public body, the word on the cover is the least binding thing in the pack.

AI bid writing, and the thing it cannot do

Drafting is where this category began and where most of its marketing still lives. It works. The failure mode is specific, predictable, and worth naming before you buy anything.

A language model drafting from your content library will produce fluent prose at the level of specificity its source material supports. Where your library is thin, it does not stop — it fills. The output is confident, plausible, well-structured and unsupported, and it is the single most expensive failure mode in bid drafting because it is invisible to everyone who has not checked the underlying fact.

The Cabinet Office says this directly, in the policy note that governs AI in UK procurement: content created with the support of large language models “may include inaccurate or misleading statements; where statements, facts or references appear plausible, but are in fact false… statistical plausibility does not necessarily mean that the statements are factually accurate.” [1]

In a UK public tender the cost of that is not embarrassment. Misrepresentation in a tender is a discretionary exclusion ground, and the assessment summary you receive afterwards will name the criterion you lost on. The mitigation is not a better model; it is a drafting process that marks what it cannot evidence rather than smoothing over it — which is also the posture the Government Digital Service’s AI Playbook takes across its ten principles for public sector AI use. [11]

We go into the drafting workflow itself on bid writing software and AI tender writing platform. What belongs here is the boundary.

What drafting reliably does well

Structure, coverage, tone consistency across a document written by six people, and getting a blank page to a reviewable state. On a 200-question pack this is the difference between bidding and not bidding.

What it does badly, every time

Anything requiring a fact you have not given it: a named referee, a contract value, an accreditation date, a headcount at a site, a specific outcome from a specific delivery. It will produce something shaped like the answer.

The test to run before you buy

Give the tool a question your library genuinely cannot answer and see what it returns. A tool that says it does not know is worth more than one that scores well on questions you can already answer.

And the one after that

Ask the vendor for its error rate against a held-out set. In surveying this category we found no vendor publishing one. That is not a reason to refuse to buy; it is a reason to run your own.

All of that is about your document. Now the part the category does not describe — what the buyer does with it.

What happens after you press submit

Every product in this category stops here. The reason is structural rather than lazy: the category is US-origin, and in most markets what happens next is genuinely private. In UK public procurement it is not private. It is published, by statute, in a fixed sequence.

This is the part worth understanding before you choose any software, because it tells you which of the tool’s features are load-bearing and which are decoration.

The award criteria, and their relative importance

Section 23 requires award criteria that relate to the subject-matter, are “sufficiently clear, measurable and specific” and are a proportionate means of assessing tenders — and requires the authority to set out its assessment methodology, including the relative importance of the criteria. [2]

The procedural requirements

Set out in the tender notice or associated documents. Under section 19(3)(d) a tender that breaches one may be disregarded, and section 19(11) confirms a procedural requirement includes a requirement that a supplier provide information. Format rules are not administrative trivia; they are a disqualification route. [2]

The most advantageous tender

Section 19(1) permits award to the supplier submitting the most advantageous tender; 19(2) defines that as the tender which satisfies the authority’s requirements and best satisfies the award criteria. Note the change of language from the old regime — MAT, not MEAT. Content still saying “most economically advantageous tender” is describing the previous rules. [2]

The assessment summary

You are told how your tender was assessed against the published criteria — and, where different, how the winning tender was assessed. This is the single most useful document in the process and the one most bid teams file without reading twice. It names the criterion, not just the outcome. We set out the post-decision sequence in full on RFP tender.

The standstill period, then the award

A mandatory pause before the contract can be entered into, so a challenge is possible while it still means something. Then the contract award notice is published — which is what makes the incumbent, and the value they won at, a matter of public record.

Read that sequence back as a specification for software and the priorities invert. The published criteria exist before you write a word, so a tool that cannot ingest them is guessing at exactly the thing that is not secret. The assessment summary is structured feedback on a known rubric, so a tool that cannot store and search your own summaries is discarding your best training data. And the award notice tells you who won and at what value — which is the input to the bid decision the category never mentions.

The question to put to any vendor on this term

Not “how much faster is it”. Ask: can it read the published award criteria for this procurement and show me my draft against them? Can it hold my assessment summaries and tell me which criterion I lose on most often? Can it tell me who holds this contract now? Those are three different products in most of this market, and none of them are the one being sold as AI RFP software.

The award criteria are published before you bid

This is the fact the whole page turns on, so it is worth stating precisely rather than rhetorically.

Section 23(2) of the Procurement Act 2023 requires a contracting authority to be satisfied that its award criteria relate to the subject-matter of the contract, are sufficiently clear, measurable and specific, do not break the rules on technical specifications, and are a proportionate means of assessing tenders. Section 23(3) requires the authority to describe how tenders will be assessed against those criteria, and the relative importance of each. [2]

So the weighting is not a secret to be inferred from the buyer’s tone. It is in the pack. Where a bid team spends effort proportionally to the published weightings, it is doing the single highest-leverage thing available — and where AI drafting is pointed at the heaviest-weighted questions first rather than the easiest ones, the tool is being used correctly.

The corollary is uncomfortable for the category’s marketing. If the criteria and weightings are published, then “respond to more RFPs” is not obviously a good strategy. Responding to more of the wrong ones is how a bid team burns out, and volume is the metric this category optimises for because volume is the metric it can move.

MAT, not MEAT

The Act uses most advantageous tender. The old “most economically advantageous tender” framing belonged to the previous regulations. Guidance still using MEAT is describing rules that no longer apply to procurements commenced on or after 24 February 2025.

Social value is a policy note, not the Act

The 10% minimum weighting comes from PPN 06/20, restated as PPN 002 — and it binds central government departments, executive agencies and NDPBs. A council or an NHS trust is not in its scope. Content attributing it to the Procurement Act 2023, or applying it to “all public sector contracting authorities”, is wrong twice. [15]

The commencement date

24 February 2025. Not October 2024 — that go-live was abandoned by Written Ministerial Statement on 12 September 2024. [4] At least one product page ranking on this term still cites the abandoned date as current.

PPN 017: using AI to write a UK public bid is not prohibited

This is the question every bid team asks and almost no page on this term answers from the source. There is a Cabinet Office policy note directly on it, and what it says is more permissive — and more specific — than the anxiety around it suggests.

PPN 017, Improving transparency of AI use in procurement, published 17 February 2025, replacing PPN 02/24 for procurements commenced on or after 24 February 2025. It applies to central government departments, their executive agencies and non-departmental public bodies; other contracting authorities “may wish to apply the approach”. [1] It remains the current note: the Cabinet Office PPN collection, last updated 5 August 2026, lists PPNs 001–026 and nothing in it supersedes 017 on suppliers’ use of AI. [3]

Paragraph 9, in full, because the paraphrases of it circulating are misleading:

It is important to note that suppliers’ use of AI is not prohibited during the commercial process but steps should be taken to understand the risks associated with the use of AI tools in this context, as would be the case if a bid writer has been used by the supplier.

The comparison at the end is the substantive part. The note puts AI drafting in the same category as engaging a professional bid writer — a normal, unremarkable supplier practice that a buyer may reasonably want to know about, not a form of cheating.

What PPN 017 does not say

It does not mandate AI transparency, and content claiming it does is wrong. The disclosure questions live in Annex B, they are optional for the buyer to use, and the Annex states plainly that they “should not be scored or taken into account when assessing a tender and should be used for information only”. [1]

The example question the Annex offers is: “Have you used AI or machine learning tools, including large language models, to assist in any part of your tender submission?” — followed by a request to confirm that any AI-supported content “has been checked and verified for accuracy”. Answering yes cannot cost you marks. Answering yes and then submitting something you have not checked is a different problem entirely.

And two negative findings, stated as findings

We could not locate any UK framework agreement that requires disclosure of AI use in a bid, and we could not locate any official UK source describing the detection of AI-written bids. Every “authorities are now detecting AI bids” claim we traced terminated at a vendor or consultancy blog. What PPN 017 actually anticipates is additional due diligence — site visits, clarification questions, supplier presentations — which is a materially different thing from detection. [1]

One further correction worth making, because it is a plausible wrong citation: PPN 025, on protecting national security through public procurement, published 19 June 2026, names AI as a strategic sector. It contains nothing about suppliers using AI to write bids. It is about the national security exemption and about buying AI, not about writing with it. [16]

Confidential bid content, and what a closed system has to mean

The most-searched worry in this cluster is not accuracy. It is whether putting a tender pack into an AI tool leaks it — and here PPN 017 is unusually concrete about what the buyer is expected to police.

The note asks buyers to put in place proportionate controls to ensure suppliers do not use confidential contracting authority information, or information not already in the public domain, “as training data for AI systems e.g. using confidential Government tender documents to train AI or Large Language Models (LLMs) to create future tender responses”. [1]

Read that as a procurement requirement rather than a technology one, because that is what it is. It is not asking whether the vendor uses AI. It is asking whether your confidential material becomes training data — for that vendor, for its model provider, or for its other customers. Those are three separate questions and a single reassuring sentence on a pricing page answers none of them.

The questions that actually resolve it are contractual, and you should be able to get them answered in writing before a trial, not after:

Is customer content used to train or fine-tune any model, including the vendor’s own retrieval models? Is it passed to a third-party model provider, and under what terms — specifically, is it excluded from that provider’s training? Where is it processed and stored, and under whose jurisdiction? What is the retention period, and what happens on termination? Is content segregated per customer, or pooled? And who inside the vendor can read it?

The ICO’s guidance on AI and data protection is the reference point where personal data is involved — noting that it was last updated in March 2023 and is currently under review following the Data (Use and Access) Act, so it should be read as a direction of travel rather than a settled text. [10]

“We don’t train on your data”

Usually true and usually incomplete. It typically covers foundation-model training and says nothing about retrieval indexes, evaluation sets, support access or subprocessors. Ask for it as a contractual term, not a marketing line.

“Closed system”

A phrase with no agreed meaning. It can mean self-hosted, single-tenant, a private model endpoint, or simply that a checkbox is off. Ask which, and get the answer in the contract.

Content libraries are the sharpest edge

A shared library is the feature people buy this category for and the mechanism by which one customer’s confidential material could reach another. Segregation here is worth more scrutiny than any model claim.

And the boring answer that usually works

Most tender packs are published documents. The confidential material is generally yours — pricing, staffing, subcontractors, referees — not the buyer’s. Knowing which is which narrows the problem considerably.

ISO 42001, Cyber Essentials, and which gates are real

Two certifications come up constantly in this cluster, and they do different jobs. One is a genuine hard gate in UK public work; the other is increasingly asked for and is not yet mandatory anywhere we can evidence.

Cyber Essentials is the hard gate

PPN 014 applies to central government departments, executive agencies, non-departmental public bodies and NHS bodies, replacing PPN 09/23 for procurements commenced on or after 24 February 2025. Where it is triggered, evidence of a Cyber Essentials certificate or equivalent is required at the point data is to be passed to the supplier. [5]

Two things about it are routinely got wrong. First, it is not universal: paragraph 20 states that the scheme “should not be applied to all contracts as a matter of course” and that in-scope organisations “must not take a blanket approach”; paragraph 21 requires controls to be relevant and proportionate and not to deter SMEs from bidding. [5] Second, the trigger is about the data rather than the contract value — which is why it catches software contracts that look small.

Cyber Essentials is owned by the NCSC and delivered by IASME, covering five technical controls: firewalls, secure configuration, security update management, user access control and malware protection. Certification starts at £320 plus VAT; Cyber Essentials Plus adds independent technical testing. [6] The words “or equivalent” in PPN 014 are what allow an ISO 27001-certified supplier to make a case — in writing, early, not at award.

ISO/IEC 42001 is the emerging one

ISO/IEC 42001:2023, Information technology — Artificial intelligence — Management system, edition 1, published December 2023. It specifies requirements for establishing, implementing, maintaining and continually improving an AI management system. [7]

What it certifies is the organisation’s management system, not the model, not the output, and not the accuracy of anything the tool drafts. A vendor holding ISO 42001 has demonstrated governance around how it builds and runs AI. That is worth having and it is not a quality guarantee, and the distinction matters when a tender question asks you to evidence responsible AI use.

We publish no figure for how often UK tenders require it, because we have not found an official one and the vendor figures in circulation are unsourced. We cover the certification itself on ISO 42001 in AI tenders and Cyber Essentials on Cyber Essentials for tenders.

The EU AI Act dates that moved, and which most pages still have wrong

If you sell into the EU as well as the UK, or your buyer asks about AI Act readiness, this is the highest-value correction on the page. The high-risk obligations were deferred in July 2026, and a great deal of content on this topic — including content published since — still carries the old dates.

The AI Act enters the Official Journal

Regulation (EU) 2024/1689, the base regulation, with a staged application timetable. [8]

The amending regulation is made

Regulation (EU) 2026/1744 — the Digital Omnibus on AI — amending Regulations (EU) 2024/1689, (EU) 2018/1139 and (EU) 2023/1230. [9]

Published in the Official Journal, in force 27 July

OJ L, 24.7.2026. Entry into force three days later. [9]

High-risk under Article 6(2) and Annex III

The amended text sets the date of application of Chapter III Sections 1, 2 and 3 as “2 December 2027 as regards AI systems classified as high-risk pursuant to Article 6(2) and Annex III”. [9]

High-risk under Article 6(1) and Annex I

And “2 August 2028 as regards AI systems classified as high-risk pursuant to Article 6(1) and Annex I” — systems that are safety components of products already regulated under EU product law. [9]

The date to stop repeating is 2 August 2026. That was the original application date for the Annex III high-risk obligations and it is no longer correct. Both replacement dates are quoted above from the operative provision in the Official Journal text, not from a summary.

One precision worth carrying, since we have seen it garbled in our own earlier work as well as in competitors’: the political agreement was reached in May 2026 and the Council’s final green light came in late June, but the instrument is dated 8 July 2026. Cite the regulation number and the OJ date. “Adopted in June 2026” is not a citation and does not resolve to anything.

For most readers of this page the practical exposure is limited — AI RFP software drafting a commercial proposal is not obviously an Annex III high-risk system. But the question appears in tender packs now, and answering it with the superseded date is the kind of error an evaluator notices.

RFP automation, honestly described

“Automation” in this category covers three quite different things with three different risk profiles, and vendors tend to price them as one.

Assembly automation is the safest and the least discussed: pulling approved content into a formatted document, applying the buyer’s template, checking word counts, producing the compliance matrix, exporting to whatever format the portal demands. Almost no judgement is involved, which is exactly why it should be automated. It is also the part that most often breaks a submission when done by hand at midnight.

Answer automation is drafting a response and placing it, at scale, across a questionnaire. This works well on repetitive structured questions — security questionnaires, DDQs, capability grids — and degrades sharply on anything requiring a method statement or a case study. The honest framing is that it converts a writing task into a reviewing task. If your review capacity is the bottleneck, it does not help you.

Decision automation — bid/no-bid scoring, go/no-go models — is the least mature and the most consequential. It is also the only one of the three that touches the thing this page argues matters. Treat any product claiming it as a hypothesis to test against your own award history, not a feature to switch on.

The pattern across all three: automation is valuable in proportion to how repetitive and how checkable the task is. The category’s marketing inverts that, because the impressive demo is always the one writing prose.

The number that is never quoted

Not time saved — review time added. Every draft an automation produces has to be read by someone who can tell whether it is true. Ask any vendor to describe the review workload their product creates. The good ones have an answer.

Portal formats are the quiet blocker

UK public tenders are submitted through e-procurement portals with their own upload rules, character limits and file conventions. An automation that produces a beautiful document you then retype into a portal box has automated the wrong half.

Where it genuinely pays

High-volume, low-variance, structured work. If you answer the same 300 security questions eleven times a year, this category will repay you quickly and the case does not need any of the disputed statistics to stand up.

The honest scorecard for AI RFP software

We surveyed the pages ranking for this term on 17 August 2026 and counted their numeric claims. Roughly sixty. The number that trace to a source outside the company making the claim: two.

That is the state of evidence in this category, and it is worth setting out plainly because the alternative is to add a sixty-first unsourced number to the pile. What follows is not a ranking. Every comparison ranking for this term is published by a vendor, and every one of them places itself first or near-first — which is not corruption so much as an inevitability of who is willing to write 12,000 words about RFP software.

1Two accuracy figures, one FAQ answer. A product page states “over 95% accuracy” and “over 90% accuracy” in the same answer, and elsewhere pairs “95% accurate” with “zero hallucinations” — which cannot both hold, because a 5% error rate is the hallucination rate.

2Two speed figures, one page. Another states “up to 80%” faster turnaround in its hero and “up to a 50% reduction… up to 8× faster” in its FAQ, attributed to unnamed “benchmarks”.

3Two win-rate figures, one vendor. A third publishes a 30% win-rate uplift on the page that ranks and 22% on a sister page, the latter attributed to a survey of 500+ proposal professionals.

4Two “number one” claims, same results page. Two vendors both hold page one and both claim to be the top-rated RFP response software, each scored on a framework it designed itself.

5A benchmark citing a page that does not contain it. One listicle cites a named competitor for an accuracy benchmark; the cited page does not carry that figure, and the citation is not a link.

What this page refuses to publish, including about us

No time-saving multiple. No win-rate uplift. No adoption percentage. No market size or CAGR — the syndicated research selling those figures does not disclose its method, and the CAGRs disagree with each other. No claim that any percentage of UK tenders now demand a given certification, because no official statistic exists.

The previous version of this page led with “Write Winning Bids 60% Faster”. It is gone, and it should be recorded why: it is the same unsourced figure at least one competitor on this term publishes, we could not evidence it, and a page arguing that this category does not check its numbers cannot open with one of its own.

How to compare products on this term, given all that

Ignore the headline percentages entirely — on the evidence above they carry no information. Run the same real tender pack through two tools and read both outputs against the buyer’s published award criteria. That takes an afternoon, uses your material rather than a demo dataset, and measures the only thing that decides the outcome.

Our own comparison pages are best RFP software and RFP software alternatives, and they carry the same conflict of interest as everyone else’s. Read them knowing that.

What it costs, and what free means

Pricing in this category is mostly unpublished, which is itself informative. Of the product pages ranking for this term, one publishes a price.

The structural pattern is per-user per-month with a platform fee, an implementation charge and an annual commitment — and the number that decides your total cost is usually the seat count, because the tools become useful only when the subject-matter experts who own the content are inside them. A three-seat quote for a bid team of three plus fourteen contributing SMEs is not a quote for your situation.

“Free” in this category means one of four different things and they are worth separating: a time-limited trial of the full product; a permanently free tier with a low usage cap; a free tool that is a lead capture for a paid one; and open-source software that is free to license and not free to run. Only the second is free in the sense most people mean.

What we would push back on, whatever you buy: an implementation fee that front-loads the cost before you know whether the content library works. The library is the asset. If it is thin, no amount of model quality rescues the output — and you will not know how thin it is until you run a real pack through it.

We keep a page on the free end of this specifically: free RFP software.

The seat-count question

Ask how contributor access is licensed before you ask the price. A tool where SMEs need a paid seat to answer one question a quarter has a different economics to one where they do not.

The exit question

Your content library is the thing with lasting value. Ask, in writing, how you export it — format, completeness, whether answer-question pairings and version history survive. Ask before you sign, not at renewal.

And the honest small-team answer

If you bid a handful of times a year, this category is not obviously worth its cost. A well-maintained document library and a general-purpose assistant covers a lot of it. The economics turn on volume and repetition.

Back to the surface — the questions, the glossary, and the record.

The sourced record

Questions people actually ask about AI RFP software

These are real search strings from this page’s own query data, reproduced as typed.

what is ai rfp software

Software that helps a supplier respond to requests for proposal using AI — extracting the requirements from a tender pack, retrieving relevant approved content from a library, drafting first-pass answers, and checking the response for compliance and consistency before submission. Gartner’s market definition names the user explicitly: it is software that enables the seller. Tools that help a buyer issue and score an RFP are a separate market that does not rank on this term.

is it allowed to use ai to write a uk public sector bid?

Yes. PPN 017, published 17 February 2025, states that suppliers’ use of AI is not prohibited during the commercial process, and compares it directly to engaging a bid writer. Buyers may ask whether you used AI, using the optional questions in Annex B, but the Annex states those questions should not be scored or taken into account when assessing a tender. What the note does expect is that AI-supported content has been checked and verified for accuracy before you submit it.

does ppn 017 require me to disclose ai use?

Not automatically. PPN 017 gives in-scope buyers optional disclosure questions to use if they choose to; it does not impose a blanket disclosure duty on suppliers. If a buyer includes the question, answer it accurately — and note that the answer cannot cost you marks, because the Annex expressly makes the questions non-scoring. We could not find any UK framework agreement that mandates disclosure.

can contracting authorities detect ai written bids?

We found no official UK source describing detection of AI-written bids — no Cabinet Office, Government Commercial Agency, NHS or local government publication. Claims that authorities are detecting them trace back to vendor and consultancy blogs. What PPN 017 does anticipate is additional due diligence where AI use raises questions: site visits, clarification questions and supplier presentations. That is a check on whether your claims hold up, not a detector.

best ai rfp software

Every comparison ranking for this term is published by a vendor, and every one of them ranks itself first or near-first. Across roughly sixty numeric claims on those pages, two trace to a source outside the company making them, and at least three vendors publish figures that contradict their own other figures. Rather than add another ranking, the useful method is to run one real tender pack through two shortlisted tools and read both outputs against that buyer’s published award criteria.

ai rfp software for government contracts

The requirement that changes for public work is not a feature, it is the evaluation. UK contracting authorities publish their award criteria, the relative importance of each, and an assessment methodology, under section 23 of the Procurement Act 2023. Software that cannot ingest those published criteria is guessing at the one thing that is not secret. Also check that it handles e-procurement portal formats and character limits, because a document you retype into a portal box is only half automated.

is my tender content used to train the ai?

It depends on the vendor and you should get the answer contractually rather than from a marketing page. PPN 017 asks buyers to control against suppliers using confidential authority information as training data, naming the example of using confidential government tender documents to train models to create future responses. The questions that resolve it: is customer content used to train or fine-tune any model including retrieval models; is it passed to a third-party model provider and excluded from that provider’s training; where is it processed and stored; what is the retention period; and is content segregated per customer or pooled.

do i need iso 42001 to bid for ai work?

Not as a general rule, and we publish no figure for how often it is asked because no official statistic exists. ISO/IEC 42001:2023 certifies an organisation’s AI management system — the governance around how AI is built and run — not the model, the output, or the accuracy of anything drafted. It is increasingly requested in tenders for AI work. The certification that is a genuine hard gate is Cyber Essentials, under PPN 014, where the trigger is about the data rather than the contract value.

rfp software pricing

Mostly unpublished — of the product pages ranking for this term, one publishes a price. The usual structure is per-user per-month plus a platform fee, an implementation charge and an annual commitment, and the number that decides your total is the seat count, because the tools only work when the subject-matter experts who own the content are inside them. Ask how contributor access is licensed before you ask the headline price, and ask how you export your content library before you sign.

what is the difference between an rfp and a tender in the uk?

“RFP” has no definition in the Procurement Act 2023 — the Act’s vocabulary is tender notice, tender, open procedure and competitive flexible procedure. A UK public buyer may title its document a request for proposal, but what governs your deadlines, your assessment summary and your right to challenge is the procedure underneath, not the label. In general usage an RFP is issued when the buyer knows the outcome but not the method, and a tender when the specification is already fixed.

The glossary

The terms on this page that mean something specific, with the specific meaning.

MATMost advantageous tenderThe award standard under section 19 of the Procurement Act 2023. Replaced MEAT. Content still saying MEAT describes the previous regime.

SQ / PQQStandard Selection QuestionnaireThe qualification stage. Still widely called the PQQ. The software category’s nearest equivalents are the vendor questionnaire and the DDQ.

ITTInvitation to tenderThe pack. What the software category calls the RFP.

PPNProcurement Policy NoteCabinet Office policy binding on central government, its agencies and NDPBs. Not statute, and mostly not binding on councils. PPN 017 and PPN 014 both appear above.

ShreddingRequirement extractionTurning a tender pack into a traceable list of things you must answer. The highest-value function in the category.

DDQDue diligence questionnaireStructured, repetitive, high-volume. The work automation genuinely suits.

RRMRFP Response ManagementGartner’s name for this category. The definition is explicitly sell-side.

GCAGovernment Commercial AgencyCrown Commercial Service became the Government Commercial Agency on 1 April 2026. [12] Content still saying CCS is out of date.

FTSFind a TenderWhere UK public notices above threshold are published, with Contracts Finder below it. Award notices are published here too, which is what makes the incumbent knowable.

Sources

Every legal and standards claim above resolves to one of these. All were fetched on 17 August 2026.

PPN 017: Improving transparency of AI use in procurement, Cabinet Office. Published on GOV.UK 17 February 2025, replacing PPN 02/24 for procurements commenced on or after 24 February 2025. Paragraphs 2–3, 7, 9 and 15 and Annex B quoted. The document header records “Originally issued: November 2023, Updated: February 2025”, which is inconsistent with PPN 02/24’s own March 2024 date; we cite the GOV.UK publication date.
Procurement Act 2023 (c. 54), legislation.gov.uk. In force for procurements commenced on or after 24 February 2025. Section 19 (most advantageous tender; subsections (1), (2), (3)(d) and (11)) and section 23 (award criteria and assessment methodology; subsections (2) and (3)).
Procurement Policy Notes, Cabinet Office collection on GOV.UK. Collection last updated 5 August 2026; lists PPNs 001–026 under the Procurement Act 2023. Consulted to confirm nothing supersedes PPN 017 on suppliers’ use of AI.
Transforming Public Procurement, Cabinet Office. The Written Ministerial Statement of 12 September 2024 abandoned the 28 October 2024 go-live and moved commencement to 24 February 2025.
PPN 014: Cyber Essentials scheme, Cabinet Office. Published 17 February 2025; applies to central government departments, executive agencies, NDPBs and NHS bodies, replacing PPN 09/23. Paragraphs 20 and 21 quoted.
Cyber Essentials, National Cyber Security Centre. Scheme owned by the NCSC and delivered by IASME; five technical controls; certification from £320 plus VAT, with Cyber Essentials Plus adding independent technical testing.
ISO/IEC 42001:2023, Information technology — Artificial intelligence — Management system, ISO. Edition 1, published December 2023, status Published (stage 60.60).
Regulation (EU) 2024/1689 (the EU AI Act), EUR-Lex. OJ L, 2024/1689, 12.7.2024. The base regulation.
Regulation (EU) 2026/1744, EUR-Lex. Regulation of 8 July 2026 amending Regulations (EU) 2024/1689, (EU) 2018/1139 and (EU) 2023/1230; published OJ L, 24.7.2026; entered into force 27 July 2026. The application dates of 2 December 2027 (Article 6(2) and Annex III) and 2 August 2028 (Article 6(1) and Annex I) are quoted verbatim from the operative provision in the Official Journal text.
Guidance on AI and data protection, Information Commissioner’s Office. Last updated 15 March 2023; the page carries a notice that it is under review following changes made by the Data (Use and Access) Act.
AI Playbook for the UK Government, Government Digital Service. Published 10 February 2025. Ten principles for AI use in government; expands the Generative AI Framework for HMG of January 2024.
Government Commercial Agency. The site records that Crown Commercial Service became the Government Commercial Agency on 1 April 2026.
Find a Tender, and Contracts Finder. Where UK public procurement notices and award notices are published.
RFP Response Management Applications, Gartner Peer Insights. Market definition quoted; features section updated December 2025. Semi-authoritative — an analyst market definition, not a regulatory one, and cited here only for the category’s own boundary. The associated Gartner Market Guide is paywalled and nothing from it is quoted.
PPN 002: Taking account of social value in the award of central government contracts, Cabinet Office. February 2025, restating PPN 06/20. Binds central government departments, executive agencies and NDPBs — not all contracting authorities.
PPN 025: Protecting the UK’s national security through public procurement, Cabinet Office. Published 19 June 2026. Names AI as a strategic sector; contains no provision on suppliers’ use of AI in writing bids. Cited to pre-empt a plausible wrong citation.

What this page does not cite, and why

No vendor market-size, win-rate or time-saving figure, from any vendor in this category, including us. No syndicated market research — the CAGRs on sale disagree with each other and none discloses a method. No G2 category definition: the page was bot-blocked on two retrieval paths on 17 August 2026 and we will not cite it from memory. Neither withdrawn Digital Marketplace guidance page, both withdrawn 20 November 2025.

One correction to our own earlier work, recorded here rather than quietly fixed: our page on machine learning RFP cites a Council of the EU press release of 29 June 2026 for the AI Act deferral and notes that it could not verify an amending regulation number. The number verifies. It is Regulation (EU) 2026/1744 of 8 July 2026, OJ L 24.7.2026 — source [9] above — and that page should be updated to cite the instrument rather than the press release.