An AI consulting proposal should explain what will be delivered, how you will accept it, what it costs to run and who is responsible if the work changes.
Review six items before approving a scope
| Proposal item | What a reviewer should be able to answer |
|---|---|
| Deliverables | What documents, tests, configuration or training are included, and in which stage? |
| Boundaries | Which tasks, teams, systems and data are in scope? Who approves access and writes? |
| Acceptance | What tests will be run, who reviews the output and what blocks rollout? |
| Fees | Which work is hourly or fixed scope? What changes the price or needs approval? |
| Ongoing costs | Who pays for licenses, API usage, hosting and maintenance? What is the billing period? |
| Handover | What does your team own and how do you export work, revoke access or move support? |
Turn a vague promise into an acceptance line
Suppose the proposal says it will “automate intake.” Ask which types of request it will accept, what data it may use, whether it may create live records, and who checks exceptions. An acceptable line might require a reviewer to confirm drafts from agreed example inputs, including missing details and duplicates. Tie that line to a deliverable and a person authorized to accept it.
Agree how the work can change
Record excluded integrations, additional teams, data cleanup and any licensing assumption that could alter the quote. Identify who must approve a new cost or permission. Have the business owner, the system administrator and the person who will run the task review the scope together. Ask who fixes issues after launch and how the team stops a workflow if necessary.
Use the market and NetSys pricing comparison for planning, then confirm the actual charges and terms in the proposal.
Ask for a scope with the deliverables and approval decisions written down. Explore NetSys AI consulting.
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Also on this topic: AI Consulting Costs for a Small Business: Market and NetSys Rates · How AI Onboarding Works: Team Briefing, Setup and Follow-Up
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