How to use AI to write better tender responses
AI can read a tender and draft your response, which saves a small bid team many hours of reading and writing. It does not decide whether you should bid or what will win, and it can be wrong. Use it for reading, structuring and first drafts, and keep people on facts, strategy and the final check.
What AI does well
Language models are good at reading long documents quickly and pulling out structure: requirements, deadlines, award criteria and their weights, and possible risks in the contract terms. They are also good at first drafts that follow a given structure, and at checking whether every requirement has an answer. This is the work that used to take a bid manager the first day of every tender.
Where AI goes wrong
A model can state facts that are not in your documents: a reference you never delivered, a certificate that has expired, a staffing level you cannot meet. It can also miss a requirement hidden in an attachment, or read a weighting wrongly. In a public tender an incorrect statement is not only embarrassing; it can be grounds for rejection or a later dispute. Every figure, reference and commitment in an AI draft must be checked against your own records and the original tender documents.
How to use AI safely in bid work
Give the model your own material to work from: your company profile, earlier bids and approved text. Ask it to name the sources behind each draft, so you can check them. Keep the structure of the tender documents, answering criterion by criterion. Let a person who knows the delivery review every section before it goes in. And check how your provider handles your documents: tender material is confidential.
How Tenderen uses AI
On Pro and Enterprise, Tenderen runs an AI analysis of the tender documents that gives a one-page summary, the requirements, key dates, award criteria and identified risks, and you can ask questions about the documents in a chat. The writer drafts answer sections from the tender, your company profile and earlier material in your account, and lists the sources it used. A requirement check shows which requirements your answers cover. Pro includes 50 document analyses and 20 AI drafts a month; Enterprise has no monthly count limit within a daily fair-use budget. Neither Tenderen nor its AI providers use your content to train models.
A workflow that works in practice
1) Run the analysis on the tender and read the summary and the requirements list yourself. 2) Make the go/no-go decision with the team before anyone writes. 3) Agree on the structure: one section per award criterion, in the order of the tender documents, with the win themes you want the evaluator to remember. 4) Let the AI draft each section from your own material, and ask it to list its sources. 5) Have the person responsible for each part check every fact, figure and promise. 6) Run the requirement check and close the gaps. 7) Read the whole bid once from start to finish, as the evaluator will, before you submit.
Using your own AI assistant with your tender data
If you already work in Claude, ChatGPT or Cursor, you can connect it to your Tenderen account through the MCP connector, available on every plan. You sign in with your Tenderen account and choose what the assistant may do; read access is on by default, and actions such as submitting or deleting need separate permission and confirmation. The assistant can then search tenders and read your pipeline without copying documents back and forth.
What AI can't replace
AI is a tool, not a substitute for knowing your customer and your delivery. The decision to bid, the price, the win themes and the promises you make are business decisions. The combination that works is AI for reading, structure and first drafts, and people for strategy, facts and the final check before submission.
Ready to try Tenderen?
Start for free and see how AI can help you find and win more public tenders.