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YES

As of 13 August 2026, AI can create a deliverables list for your proposal.

Most people should hand this to a purpose-built tool.

Can you do it?

5 minutesto a draft.

15 minutesto something you’d act on.

Cost, all in£0

Skill neededchat-fluent

Who has to check ityou

What the alternative costsThe supplied tool data gives no price for a human or software alternative.

If this goes wrong: the proposal promises work that was not priced, scoped or scheduled, creating a dispute or an unprofitable project.

What to actually do

  1. Use a tool built for this

    The route this page recommends

  2. Do it yourself

    Second choice

    A chat interface, chat-fluent skill, and roughly 15 minutes until you can act on the result.

    How to actually do it

    1. Open the current proposal, statement of work, pricing sheet and project plan, and gather the latest versions.
    2. Paste the proposal and scope into the prompt, including milestones, quantities, exclusions, client responsibilities and acceptance requirements.
    3. Ask the chatbot to produce the deliverables list, separating confirmed items from assumptions and open questions.
    4. Compare every drafted deliverable with the pricing sheet and project plan, removing anything that is not included or scheduled.
    5. Check the quantities, formats, milestones, dependencies and exclusions against the source documents, and resolve every item marked "To confirm".
    6. Ask a colleague who owns delivery to check that the list is feasible and that no important work or client dependency is missing.
    7. Paste the approved table into the proposal and send it through your normal commercial approval process before sharing it with the client.

    Prompt

    Create a client-facing deliverables list for this proposal.

Project or service: [PROJECT NAME]
Client: [CLIENT NAME]
Proposal and scope:
[PASTE THE PROPOSAL OR SCOPE]

Use only information in the material provided. Do not invent deliverables, features, quantities, deadlines, integrations, responsibilities or acceptance criteria. Separate confirmed deliverables from assumptions and open questions. For each confirmed deliverable, include:
1. Deliverable name
2. What the client will receive
3. Included quantity or limit, if stated
4. Format or channel, if stated
5. Milestone or timing, if stated
6. Client input or dependency, if stated
7. Explicit exclusions or boundaries, if relevant

Then provide:
- a short summary of the overall scope
- a list of ambiguities or missing decisions that could change price, timing or scope
- a list of statements in the proposal that do not map clearly to a deliverable
- a final version formatted as a table suitable for pasting into the proposal

Keep the language plain and specific. Preserve the proposal's terminology. Mark anything uncertain as "To confirm" rather than guessing.

    Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.

  3. Hand it to a person

    The distant third

    A person who owns the outcome does this end to end, worth it when the failure is dear.

What it gets wrong

  • AI cannot know which informal promises were made in calls or messages unless you provide them.
  • AI cannot decide whether an ambiguous requirement should be included, excluded or priced separately.
  • AI cannot confirm that the delivery team has the capacity, skills or access needed for each item.
  • AI can make a vague service sound like a definite commitment, so wording still needs comparison with the agreed scope and price.
  • AI cannot take responsibility for a scope dispute after the proposal is accepted.

Even on a YES, the friction has a name: judgement under ambiguity, context depth and stakes of error.

How we scored this

Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.

AxisScore (0–2)
Output2
Inputs2
Verification2
Liability2
Effort delta2
Total10 / 10

The methodology and its thresholds are published in full.

FAQ

Can ChatGPT make a deliverables list?
Yes. Give it the proposal, scope, milestones, exclusions and client responsibilities, and it can turn them into a structured list or table. Check every item against your pricing and delivery plan before sending it.
What should be included in a project deliverables list?
Include the deliverable, what the client receives, quantities or limits, format, timing, dependencies and relevant exclusions. Also list open questions that could change the price, timetable or scope.
How do I stop AI adding work to my proposal?
Tell it to use only the supplied material and to mark uncertainty as "To confirm" rather than guessing. Compare the result with your price, scope and project plan, then ask the delivery owner to check it.
Can AI write a client-facing scope of work?
Yes, it can organise approved scope into clear client-facing wording. It cannot decide what your business has agreed to deliver, so you must approve the boundaries, exclusions and acceptance requirements.

Nearby answers

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Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.

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