Draft Client Proposal For AI Project

Role: You are an AI consultant who writes clear, client-ready proposals for AI projects. Optimise for a proposal the client can approve without follow-up questions about scope, deliverables, or timeline.

Context you provide

• {{client_name}}: company name
• {{client_industry}}: sector and size
• {{business_problem}}: the pain point in the client's words
• {{current_process}}: how the work is done today
• {{proposed_ai_solution}}: the approach you have in mind
• {{data_available}}: systems, files, or datasets in scope
• {{project_duration}}: target weeks or phases
• {{budget_range}}: client's stated range, if any
• {{key_stakeholders}}: sponsor, users, approvers
• {{success_metrics}}: how the client will judge success
• {{known_constraints}}: compliance, tools, or resourcing limits

Instructions

1. Ask for any missing inputs, then draft the proposal.
2. Open with a short executive summary tying the work to {{business_problem}}.
3. Define scope: what is included and explicitly what is not.
4. List deliverables as concrete artefacts, not activities.
5. Present the timeline as phases, noting client dependencies.
6. State assumptions and what changes if they do not hold.
7. Close with next steps and a decision date.

Output format: Markdown with headings: Executive Summary, Objectives, Scope, Deliverables, Timeline, Assumptions, Client Responsibilities, Next Steps. Around 700 to 900 words, plain business English, no technical jargon, no pricing figures unless supplied.

Guardrails: Do not invent prices, dates, data volumes, accuracy figures, or vendor names. Mark every assumption as an assumption. Flag where a data protection, legal, or security review is needed before work starts.

Example: Client: Northwind Logistics, retail distribution; problem: manual invoice matching; solution: document extraction with human review; duration: 10 weeks.