In this guide · 8 sections
- 01What AI is good at in proposal and tender writing
- 02Before you upload anything: tender confidentiality terms
- 03Choose a business plan, not personal accounts
- 04Build a reusable proposal content library
- 05Redact client and personal data before upload
- 06Fact-check the AI draft before you submit
- 07Do it yourself or get help?
- 08Frequently asked questions
Short answer
Use AI on a business plan (ChatGPT Business, Claude Team or Microsoft 365 Copilot), feed it your own approved content library, redact client and personal details before upload, read the tender's confidentiality terms first, and have a person check every fact, number and commitment before submission.
What AI is good at in proposal and tender writing
Proposal work is mostly reuse and reshaping: the same company profile, team CVs, methodology and service levels, adjusted to each buyer's wording. Large language models are strong at exactly that. They are weak at facts they were never given, which is why the workflow below keeps them on a short leash.
| Task | AI is useful | Keep a person on it |
|---|---|---|
| Requirement matrix from a long RFP | Extracts every 'shall' and deadline into a list | Checks nothing was missed in annexes |
| First draft of a section | Turns bullet notes into readable text | Edits for accuracy and tone |
| Tailoring to evaluation criteria | Re-orders and re-labels answers to match the buyer's headings | Decides what to emphasise |
| Executive summary | Condenses the final draft | Owns the commitments it makes |
| Pricing and contract terms | Spots inconsistent numbers between sections | Sets every price and accepts every clause |
Our ChatGPT prompts for small business guide has prompt patterns you can adapt for each of these tasks.
Before you upload anything: tender confidentiality terms
A tender pack is the buyer's document, not yours. Many invitations to tender and requests for proposal include conditions on how tender documents and information may be used, copied or disclosed to third parties. A cloud AI service is a third party that stores and processes what you upload, so read those clauses before you paste anything in.
For Singapore government work, opportunities are published on GeBIZ. The Ministry of Finance's Government Procurement Guide for Suppliers explains that suppliers register as a GeBIZ Trading Partner to download documents and bid. Each tender then carries its own instructions to tenderers and conditions of contract, and those documents decide what you may do with the material, not the AI tool's terms.
Private-sector RFPs often come with a non-disclosure agreement. Check whether it allows disclosure to service providers who are bound by confidentiality. A business AI plan with a data processing agreement is easier to defend under that wording than a staff member's personal account.
Choose a business plan, not personal accounts
The main data risk is staff using free or personal AI accounts for work. OpenAI's enterprise privacy page states that ChatGPT Business and Enterprise data is not used to train its models by default. Anthropic says the same for Claude Team and Enterprise, and Microsoft's Microsoft 365 Copilot privacy page states that prompts and responses are not used to train foundation models. On personal plans, chats can be used for training unless each user switches it off.
ChatGPT Business
US$20/user/mo annual (Oct 2026)
- Projects hold your library files and instructions
- Admin console, company-owned accounts
- No training on business data by default
Best for: Teams that want a general writing assistant.
Claude Team
- Projects with a shared knowledge base
- Long documents handled well
- No training on Team data by default
Best for: Long RFPs and heavy document reading.
Microsoft 365 Copilot
- Works inside Word, Outlook and SharePoint
- Respects existing file permissions
- Licensed per user on top of Microsoft 365
Best for: Firms whose bid library already lives in SharePoint.
ChatGPT Business pricing comes from our ChatGPT Business price guide, approximate, as of October 2026. For a side-by-side of how projects work in each tool, see ChatGPT projects vs custom GPTs vs Claude projects.
Build a reusable proposal content library
AI writes better proposals from your material than from its general knowledge. Spend a day building a library once, then reuse it for every bid.
Collect your best past answers
Pull company profile, methodology, quality and safety sections, service levels and team bios from your strongest past submissions. Remove anything specific to one client.
Mark each item as approved and dated
Put an owner and a review date at the top of each file, for example 'Approved by director, valid to March 2027'. Out-of-date certifications are a common error in tenders.
Keep a fact sheet the AI must use
List your registration details, headcount, certifications with expiry dates, insurance cover and real project types. Tell the AI to use only facts from this sheet.
Load it into a project
Upload the library to a ChatGPT or Claude project, or keep it in a SharePoint folder for Copilot. Add instructions such as 'Answer only from the attached files; write [CHECK] where information is missing'.
Review the library each quarter
Update headcount, certifications and contact details, and remove case summaries you no longer have permission to cite.
Do not put signed contracts, client pricing or staff NRIC numbers in the library. If you would not attach it to a proposal, it does not belong there.
Redact client and personal data before upload
The PDPC's Advisory Guidelines on Use of Personal Data in Generative AI, published 20 July 2026, treat businesses that use AI tools as deployers that remain responsible under the PDPA for the personal data they feed in. Our summary of the PDPC generative AI guidelines covers the detail. For proposal work, the practical rule is simple: the AI rarely needs names to write a good answer.
Redaction checklist before upload
If staff need a written rule for this, our ChatGPT at work policy guide gives a one-page policy you can adapt.
Fact-check the AI draft before you submit
Models produce fluent text that can include invented details: a certification you never held, a project size you never delivered, or a service level your team cannot meet. In a tender, those become representations you may be held to. Our guide to AI hallucinations as a business risk explains why this happens.
- Every number traces back to your fact sheet or a dated source.
- Every certification, licence and insurance figure is current on the submission date.
- Every commitment (response times, staffing, delivery dates) is signed off by the person who will deliver it.
- The answer uses the buyer's headings and numbering, and every mandatory requirement is answered.
- Prices in the price schedule match any prices mentioned in the narrative.
Ask the AI to help with the check itself: paste your final draft and the requirement list, and ask it to list any requirement without an answer and any figure that appears twice with different values. Then confirm the results by hand.
Do it yourself or get help?
A small team can set this up in a week: buy business seats, write a fact sheet, build the library and agree a redaction rule. The ongoing discipline is the hard part, so name one person who owns the library and the final fact check.
If you want the library, project instructions and a requirement-matrix template set up for you, our Workflow Automation service (S$390 per workflow) can build the bid workflow on the tool you already use. If you also want a chat assistant on your website that answers from the same approved content, see the AI Website Assistant (S$790).
Frequently asked questions
There is no general ban for suppliers, but each tender has its own instructions and conditions that govern how you handle the documents. Read the confidentiality clauses first. If they restrict disclosure and do not mention AI tools, ask the agency during the clarification period or use AI only on your own content, never on the buyer's documents.
On ChatGPT Business, Claude Team and Microsoft 365 Copilot, the vendors state that your content is not used to train their models by default, and you get admin controls. The vendor still stores and processes the data to run the service, so treat it like any cloud provider and keep restricted client material out.
It can produce a full draft, but submitting it unchecked is risky. Models invent plausible details such as certifications, project sizes and response times. Use AI for structure, first drafts and consistency checks, and keep a person responsible for every fact, price and commitment in the final submission.
Not to start. A business plan of a general assistant with a project holding your approved content library covers most SME needs. Specialised bid tools add features such as requirement extraction and compliance matrices. Check where they store your files, whether they train on them, and who can access them before uploading tender packs.
Leave out NRIC numbers, salaries, home addresses, personal phone numbers and anything about health. Replace client and staff names with roles. Under the PDPA your business remains responsible for personal data that staff paste into an AI tool, so the safest prompt contains only the facts the draft actually needs.