AI Chatbot Proposal Checklist for Resellers

TL;DR

• Use this ai chatbot proposal checklist after the prospect has been qualified and the workflow has already been narrowed.
• A complete proposal should name the business objective, use case, assistant scope, excluded use cases, client inputs, milestones, acceptance criteria, support, maintenance, and unresolved platform questions.
• Do not hide open issues. Pricing, security, feature capability, integrations, content ownership, and approval responsibility should be marked clearly when they affect scope or approval.
• The proposal is ready when the seller and client can agree on outcomes, inputs, limits, review steps, and next actions before work begins.

At the proposal stage, the client is not asking for a broad explanation of AI chatbots. They need to see whether the specific assistant you are proposing fits their workflow, content, approval process, and risk tolerance. This checklist assumes you have already shaped the offer. If the offer itself is still unclear, use How to Package AI Chatbot Services for Small Business Clients before turning it into a written proposal.

Key Takeaways

• A proposal is ready when both sides can see what will be built, what will not be built, what the client must provide, and how acceptance will be judged.
• The first proposal section should tie the assistant to one business objective and one use case, not general automation.
• Exclusions are part of scope. They protect the reseller from unclear requests and protect the client from wrong assumptions.
• Client content and approvals are delivery inputs. Missing source content, policy rules, or review owners should be listed as dependencies.
• Implementation belongs in the proposal as milestones and acceptance criteria, not as a technical setup tutorial.
• Support and maintenance should be separated from new work so post-launch requests do not become open-ended obligations.

Use the Proposal to Lock the Narrow Workflow

The proposal should record the workflow the client has already agreed is worth solving. It is not the place to sell every possible use case, compare partner models, design package tiers, or replay discovery.

Start with one sentence that states the chosen workflow in plain terms:

This proposal covers an AI assistant for answering website visitor questions about service options and collecting qualified contact details for staff follow-up.

That sentence names the channel, user, and result. It also keeps the proposal away from loose claims such as "AI customer service automation" or "a chatbot for the whole business."

A close-stage proposal should answer these questions:

This checklist applies when the scope has already been chosen. If the client is still deciding what to buy, the proposal will become too vague. Pause and narrow the offer first.

Document Objective, Use Case, Scope, and Exclusions

The first substantive section should connect the assistant to a business objective. Keep it short, but make it specific enough that the client can approve the purpose.

A useful objective has three parts:

• The current workflow or constraint
• The desired operational change
• The signal that would show the assistant is doing useful work

For example:

The client wants to reduce repetitive pre-sales questions on high-traffic service pages while giving visitors a clear route to contact the team when the answer depends on account details, pricing approval, or staff judgment.

That objective does not invent a conversion rate or support-hour savings claim. It gives the proposal a practical target.

Next, document the use case. The use case should name the visitor action the assistant supports, such as answering website questions from approved content, collecting lead details, routing support requests, or handing off conversations that need staff follow-up.

Then define scope:

• Included visitor questions: service overview, availability rules, basic eligibility, booking path, support routing, or other approved topics.
• Included assistant actions: answer from approved content, collect required fields, suggest the next step, or pass the visitor to a handoff path.
• Included audiences and pages: prospects, existing customers, portal users, booking-page visitors, or another defined group.

Exclusions should be just as visible. Add exclusions such as:

• The assistant will not provide legal, medical, financial, or compliance advice unless separately reviewed and approved for that use.
• The assistant will not make final eligibility decisions where staff approval is required.
• The assistant will not answer from unapproved documents, private records, or content that has not been provided for setup.
• The assistant will not replace staff review for cases that require judgment, identity checks, account-specific decisions, or exception handling.

If the client has accuracy, budget, or support concerns, capture the concern as a scope field or open question. For deeper sales conversation handling, use Objection Handling for Selling AI Chatbots to Clients.

List Client Content, Access, and Approvals

A chatbot implementation proposal can look approved on paper and still stall because the client has not assigned content ownership. Put client inputs in the proposal before work begins.

At minimum, list:

• Source pages, help articles, service descriptions, policy documents, product information, or other approved content the assistant may use.
• Content gaps that must be filled before configuration or testing.
• Brand voice, prohibited claims, escalation rules, and policy language that should shape answers.
• Access needed for review, website placement, analytics, integrations, handoff tools, forms, or test environments.
• The person responsible for content approval and launch approval.

Avoid building a full discovery questionnaire here. The proposal should record the inputs required for the already-chosen workflow.

A clean proposal field might read:

If the client cannot provide core content or an approval owner, the proposal should not promise a firm launch path. You can still send a limited proposal, but mark the missing content as a dependency and explain which parts remain out of scope until supplied.

Write Implementation Steps and Acceptance Criteria

Implementation detail belongs in the proposal, but only at the milestone level. The client needs the delivery path and approval points, not a platform walkthrough.

Use milestones such as:

1. Confirm objective, use case, pages, handoff paths, and excluded requests.
2. Collect approved content, policy rules, brand guidance, and required access.
3. Configure the assistant for the agreed workflow.
4. Review test conversations against approved content and exclusions.
5. Revise responses, handoff behavior, and missing content notes.
6. Confirm acceptance criteria and launch decision.
7. Record deferred items for later scope if needed.

Acceptance criteria should define how the client will decide the assistant is ready. Keep the criteria tied to review, not unsupported performance promises.

Useful acceptance criteria include:

• The assistant answers a defined set of sample questions using approved content.
• The assistant refuses, redirects, or hands off excluded requests according to the agreed rules.
• The client approves content-sensitive answers before launch.
• Required lead fields or handoff steps are tested in the agreed workflow.
• Known gaps are documented as deferred items or exclusions.
• Launch approval is given by the named client owner.

Do not promise perfect answers or guarantee a metric without evidence. If the client requires a numerical target, define how it will be measured and whether it is part of initial acceptance or a later review.

For InsertChat-specific proposals, keep product references tied to confirmed context. Supplied positioning supports browsing assistant workflow pages across marketing, support, ecommerce, content, lead capture, handoff, and website visitor experience. It does not support exact claims about every feature, plan, integration, security control, or pricing term. Put those items in open questions when they matter to approval.

Separate Support, Maintenance, and Change Requests

Support and maintenance are often blended together in client conversations. In the proposal, separate them so the client can see what is included after launch.

Use three plain categories:

This section should answer:

• What post-launch help is included?
• What content updates are included, if any?
• Who approves answer changes?
• What types of requests require separate scope?
• What review cadence applies, if the seller has offered one?

If the review cadence or update volume is not already part of the offer, do not invent it. Mark it as to be confirmed or leave it out.

A practical maintenance boundary might read:

Maintenance covers updates to approved source content inside the agreed lead capture workflow. New workflows, new audience types, account-specific decisions, or integrations not listed in this proposal require separate review.

Add Open Questions for Platform, Pricing, Features, and Security

A proposal does not need every answer before it exists. It does need to show which unanswered items affect scope, cost, approval, or risk.

Create a short open questions section near the end of the proposal for platform-dependent items that you cannot confirm from the current context.

Include questions such as:

• Pricing: Which platform plan, usage limit, seat requirement, or billing model applies to this client workflow?
• Features: Does the chosen platform support the required handoff, form, workflow, or content behavior?
• Integrations: Which CRM, support, ecommerce, calendar, webhook, or handoff connection must be confirmed before launch?
• Security: What data will the assistant collect, where will it appear, and what security review does the client require?
• Content and approvals: Which source materials are approved, which topics remain excluded, and who approves later changes?

Do not fill these gaps with guesses. If exact InsertChat plan pricing, current security terms, data retention rules, certifications, or feature availability are not supplied, mark them as to be confirmed.

Use this decision rule:

• If the answer changes only wording, keep the proposal moving and list the item as a note.
• If the answer changes scope, cost, feasibility, security review, or launch approval, pause before treating the proposal as ready.

Scenario: Turn One Lead Capture Workflow Into Proposal Entries

Assume a reseller has qualified a client that wants an assistant on a booking page. The client does not need a broad chatbot across the whole website. The chosen workflow is lead capture for visitors who need basic pre-booking guidance.

The proposal entries could look like this:

This is enough for the client to understand what they are approving. It also shows where the reseller should not overpromise.

Use caution when the client expects the assistant to make decisions that depend on private account data, regulated advice, staff judgment, or unapproved content. In those cases, narrow the assistant to information and routing or pause until platform, security, and content requirements are confirmed.

Use This Send, Revise, or Pause Check

Before you share the proposal, sort it into one of three states.

Send when the proposal includes:

• A specific business objective and use case
• Included assistant behavior
• Excluded topics, tasks, audiences, or decisions
• Client-provided content, access, and approval owners
• Implementation milestones at proposal level
• Acceptance criteria for review and launch approval
• Support, maintenance, and change request boundaries
• Open questions that do not change scope, price, security, or feasibility

Revise when the proposal is close, but one of these fields is incomplete:

• Client source content
• Approval owner
• Handoff rule
• Excluded use case
• Maintenance expectation
• Review step
• Deferred item

Revision is appropriate when the gap can be fixed with client input before sending.

Pause when an unanswered question could change the offer itself:

• Platform pricing is not confirmed and affects cost
• A required feature may not be available
• Security or data review is required before approval
• The assistant would need to handle sensitive, regulated, or account-specific requests
• The client cannot provide approved content for the chosen workflow
• The requested scope has expanded beyond the shaped offer

A proposal should create agreement, not hide uncertainty. If a missing answer affects feasibility or risk, pausing is cleaner than sending a proposal that will need to be rewritten later.

FAQ

What should an AI chatbot proposal include?

An AI chatbot proposal should include the business objective, use case, assistant scope, excluded use cases, client-provided content, required access, approval owners, milestones, acceptance criteria, support boundaries, maintenance responsibilities, change request boundaries, and open questions for pricing, features, security, and integrations.

Should pricing be included if platform pricing is not confirmed?

Include only what you can support. If exact platform pricing is not confirmed, mark it as an open question or separate approval item. Do not use guessed pricing as final when plan limits, usage, seats, integrations, or security requirements could affect cost.

How much implementation detail belongs in the proposal?

Use milestones, dependencies, and acceptance criteria. The proposal should show how the work moves from content collection to review and launch approval. It should not include a technical setup tutorial or post-sale onboarding instructions.

How should excluded use cases be written?

Write exclusions as plain operational limits. Name the topics, decisions, audiences, channels, or actions the assistant will not handle. Good exclusions reduce confusion without sounding defensive.

When should a reseller pause instead of sending the proposal?

Pause when an unresolved question affects feasibility, security, pricing, client approval, or core scope. Examples include unconfirmed platform capability, missing content ownership, required security review, unclear data handling, or a client request that expands the assistant beyond the agreed workflow.