What Information Does AI Need to Write a Good Tender First Draft?

When an AI-generated tender response misses the mark, the instinct is often to blame the prompt. Perhaps the instructions weren’t detailed enough, or the right wording wasn’t used. In reality, the bigger problem is often much simpler: the AI wasn’t given enough useful information to work with.

A strong prompt can tell AI how you want an answer structured, but it can’t tell the system how your business will mobilise a contract, who will manage delivery or what results you achieved for a previous client unless you provide that information. For AI-assisted bid writing to produce a useful first draft, the quality of the inputs matters just as much as the technology.

What AI can understand and what it can’t know

AI can be very effective at processing information that you provide. Given the right source material, it can help you:

break down complex tender questions
identify requirements and themes
organise large amounts of information
structure a response logically
turn rough operational notes into clearer prose
work within a word limit
highlight areas where more information is required

What it cannot inherently know is how your particular business operates. It doesn’t automatically know who your proposed Contract Manager will be, how long mobilisation will take, which system you use to record service issues or how often you intend to meet the buyer. Nor does it know that you achieved 98% KPI compliance on a previous contract unless someone tells it.

That gives us a useful distinction: The tender pack tells AI what the buyer wants. Your business information tells it how you can deliver it. You need both sides if the first draft is going to be specific enough to develop into a competitive tender response.

Start with the complete tender pack

Providing the tender question itself is rarely enough. A quality question asking you to explain your contract management approach may contain only a few sentences. Elsewhere in the procurement documents, however, the buyer might specify reporting frequencies, KPIs, escalation arrangements, governance meetings and named roles. All of that context can influence the answer.

Where available, your AI-assisted drafting process should therefore have access to relevant documents such as:

the invitation to tender
specification
quality questions
word or character limits
award criteria and weightings
scoring methodology
contract schedules
supporting appendices
clarification questions and buyer responses

This is particularly important for public procurement because the published award criteria and assessment methodology determine how tenders will be assessed. The Cabinet Office’s guidance on assessing competitive tenders explains that assessment methodologies can include scoring matrices and that authorities must assess submissions against the published criteria.

If those criteria are available, they aren’t optional background reading. They should help shape the draft.

Our guide to answering tender quality questions explores the same principle from a wider bid-writing perspective: before writing, understand exactly what the evaluator is being asked to score.

Give AI your actual delivery model

Once the buyer’s requirements are understood, the next input is your solution. This is where generic AI tender responses often fall apart. Imagine the tender asks: “Explain how you will manage service performance throughout the contract.”

Without further information, AI can easily produce phrases such as: “We will maintain regular communication with the client and monitor performance against agreed KPIs.” There is nothing inherently wrong with that statement. The problem is that almost any bidder could say it.

A more useful first draft needs practical information such as:

People: Who owns contract performance? Who supports them?
Process: What happens when performance data is collected?
Frequency: Is reporting weekly, monthly or quarterly?
Systems: Where is performance information recorded and analysed?
Governance: What meetings take place and what is reviewed?
Escalation: What happens when performance falls below target?
Improvement: How are corrective actions tracked and lessons applied?

With those inputs, AI has something concrete to structure. You don’t necessarily need beautifully written source material. Notes such as “Ops Manager reviews dashboard every Friday, red issues escalated to Director within 24 hours” can be more useful than several paragraphs of polished but vague corporate language. The important thing is that the information is true and specific.

Give it evidence, not just claims

Strong tender responses don’t simply promise good performance. They help the buyer believe those promises. That means providing AI with evidence it can use. Useful information might include:

relevant case studies
comparable contract values
contract durations
KPI results
customer satisfaction figures
mobilisation performance
service improvements achieved
savings generated
audit results
staff retention figures
accreditation details
lessons learned from similar work

Suppose you tell AI that you provide a reliable service. There is very little it can do with that beyond rewording the claim. Instead, provide something like this:

On our current £250,000 facilities contract, we achieved 99.2% scheduled attendance across the last 12 months.

Now it can use genuine evidence to strengthen the response.

What it should not do is invent the figure because a statistic would make the answer sound better. Government guidance on generative AI warns that these systems are probabilistic and can produce highly plausible responses that are nevertheless wrong. It specifically recommends checking outputs against reliable information or expert judgement.

For tender writing, that means a simple rule is worth following: If you cannot evidence a claim, don’t ask AI to fill the gap with something that sounds credible.

Give AI context that isn’t written down

Not everything needed for a good tender response will already exist in a document. Sometimes the most useful information comes from talking to the people who will actually deliver the contract.

A short briefing conversation could reveal:

why the opportunity matters to the business
what you think the buyer’s biggest challenges are
whether you have supplied the organisation before
where your approach differs from competitors
which aspects of delivery present the greatest risks
how mobilisation will differ from your normal process
which commitments you are willing to make
what concerns the delivery team has identified

This is why our AI-assisted tender first-draft service doesn’t simply ask clients to upload a tender pack and leave the software to work independently. At Bid Writer Consultancy, we review the documents and hold a short call to understand the proposed solution, evidence and risks before drafting. Our current service then provides up to 8,000 words of first-draft quality responses for £1,500 + VAT, with guidance notes showing where further client input may be required. The technology helps with the drafting. The supplier’s knowledge still provides the substance.

Previous bids are useful, but they are source material

If you’ve bid before, your previous tender responses can be extremely valuable. They may already contain useful information about:

mobilisation
contract management
risk controls
quality assurance
staffing
business continuity
social value
sustainability
case studies
previous performance

AI can help identify and reuse that information efficiently.

However, a previous answer should not automatically become the new answer. The previous buyer may have had different priorities. The question may have been scored differently. Staff may have changed. Statistics may now be out of date. A contractual commitment that was appropriate two years ago may no longer apply. Treat previous responses as a source of evidence and operational knowledge, then rebuild the answer around the current specification.

This is one reason creating good reusable bid information can save so much time. It gives both your internal team and AI-assisted drafting tools a stronger starting point.

Policies need turning into practical delivery

Uploading a policy can also help, but policies are supporting material rather than finished tender responses. Take an environmental policy. It might explain the organisation’s overall commitments to reducing waste or carbon emissions. That does not necessarily answer: “Explain how you will minimise the environmental impact of delivering this contract.”

For that, AI may also need to know:

which measures will apply specifically to this contract
who will own them
when they will be introduced
what targets you can commit to
how performance will be recorded
what evidence will be reported to the buyer

The same principle applies to safeguarding, quality, business continuity, equality, health and safety, information security and social value policies. A policy tells AI what your organisation says it does. Operational information tells it how that commitment will work on this contract.

What should happen when information is missing?

Missing information isn’t unusual. You may not yet know who will be appointed to a role. A statistic may need confirming. The commercial team may still be deciding the mobilisation timetable. However, the worst solution is to disguise that uncertainty with an invented answer.

A better first draft might contain a clear prompt such as:

[Confirm proposed mobilisation period]
[Insert relevant contract performance statistic]
[Client to confirm escalation timescale]
[Add comparable case study]

That makes the gap visible and gives your team something specific to resolve.

A good first draft should help you identify missing information, not conceal its absence.

What information should you gather before AI starts drafting?

A useful information pack could look like this:

Information	What to include
Tender documents	ITT, specification, questions and appendices
Evaluation details	Scoring criteria, weighting and word limits
Opportunity details	Buyer, deadline, contract value and key dates
Delivery model	Processes, roles, systems and timescales
People	Key personnel, experience and responsibilities
Evidence	Case studies, KPIs, outcomes and statistics
Policies	Relevant current company policies
Previous content	Method statements and previous tender answers
Buyer correspondence	Clarification questions and answers
Bid strategy	Differentiators, risks and priorities

You won’t necessarily need every item for every response. If the question is about business continuity, a staff CV may add very little. If it asks about mobilisation, the mobilisation process, roles, risks and timetable will matter much more.

The objective isn’t to upload every file your company owns. It is to supply the most relevant information for the question being answered.

Protect sensitive information

Tender documents and internal bid information can contain commercially sensitive, confidential or personal information. Before putting that information into any AI system, understand how the tool handles your data and follow your organisation’s own information-security requirements.

The National Cyber Security Centre’s secure AI development guidance recommends having controls over what information AI systems can access and protecting generated content according to the sensitivity of both the output and the data used to produce it. That means checking issues such as data retention, access controls, provider terms and whether sensitive information is actually required for the task. Good AI-assisted bid writing should improve efficiency without creating unnecessary information-security risks.

A first draft is still a first draft

Even excellent source information doesn’t remove the need for human review. Before any AI-assisted response is submitted, someone who understands the business and the tender should check:

Is every statement factually accurate?
Have any unsupported assumptions appeared?
Does the answer reflect how we will genuinely deliver?
Have all parts of the question been answered?
Is the evidence relevant and current?
Are commitments realistic?
Does the content match the specification?
Does it address the scoring criteria?
Are there any obvious information gaps?
Does it sound like our business?

Our tender writing checklist also includes specific checks for AI-assisted content before submission, alongside the wider compliance, evidence and consistency checks that every tender should go through.

This distinction between a first draft and a finished bid is important. AI can accelerate the first. It doesn’t remove responsibility for the second.

Frequently asked questions

Can AI write a tender response from the tender pack alone?

It can produce a response, but that doesn’t necessarily mean it will produce a useful one. The tender pack tells AI what the buyer wants. It does not normally contain your delivery process, experience, evidence or differentiators. Without that information, responses are more likely to become generic or rely on assumptions.

Can I give AI our previous tender responses?

Previous responses can be excellent reference material because they contain information about your processes and experience. They still need checking for relevance and accuracy. The new response should be tailored to the current buyer, specification, question and scoring methodology rather than simply recycling an old answer.

What if we don’t have the evidence AI needs?

Don’t manufacture it. Look for another genuine example that demonstrates the same capability, ask colleagues whether evidence exists elsewhere or clearly flag the point for further input. If strong evidence genuinely isn’t available, it is better to know that during drafting than to discover an unsupported claim during final review.

How detailed should the information be?

Aim to provide enough information to explain who, what, when, how and how well. You don’t need to write full paragraphs. Bullet points, meeting notes, process diagrams and rough operational comments can all be useful if they contain genuine detail.

Is it safe to upload confidential tender information to AI?

It depends on the AI system, the information involved, contractual obligations and your organisation’s policies. Before uploading sensitive information, understand how the tool stores, processes and uses data. Where information isn’t required to produce the response, avoid sharing it unnecessarily.

Does using AI mean we don’t need a bid writer?

AI can reduce drafting time, but it doesn’t replace every part of professional bid writing. Understanding evaluation criteria, challenging weak evidence, choosing the strongest examples, developing bid strategy and deciding whether an answer will genuinely persuade an evaluator all require judgement. At Bid Writer Consultancy, that is why our AI-assisted service combines our own AI process with professional bid writers rather than treating software as a substitute for bid expertise.

Better information creates better first drafts

There is no single magic prompt that turns incomplete information into a compelling tender response. The strongest AI-assisted drafts start with a clear understanding of the buyer’s requirements, followed by accurate information about your proposed delivery model, people, evidence and experience. AI can then help organise that material into a coherent first draft much faster than starting from a blank page. But the principle remains straightforward: if an AI system doesn’t know something about your business, it cannot reliably include it.

If you need help producing a first draft for a live tender, Bid Writer Consultancy can combine your business knowledge with professional bid-writing expertise and our in-house AI process. Alternatively, our wider professional bid writing support is available where an opportunity needs more comprehensive writing or bid management. Contact Bid Writer Consultancy to discuss your tender and the level of support that makes sense for your opportunity.