Use cases / Sales & Estimating
Solar Proposal Plain-Language Explainer & Follow-Up
Last updated
Short answer: After the consult, have AI write a one-page plain-language summary of the proposal from your own numbers, then follow up by answering the homeowner's specific questions. Every number comes from the proposal, never from the AI. A rep reviews before sending.
The problem: Solar proposals are dense with production estimates, loan terms, and incentive assumptions, and confused homeowners stall instead of asking questions.
- Trades
- Solar
- Category
- Sales & Estimating
- Difficulty
- Medium
- ROI lever
- Proposal-to-signed rate
- Tools
- ChatGPT Plus + Field service CRM
Tools and approximate pricing
- ChatGPT Plus (or similar AI assistant): Drafting messages, summaries, and checklists. Price: $20/mo (ChatGPT Plus list price).
- Field service CRM (Jobber, Housecall Pro, ServiceTitan, etc.): Customer record, jobs, and automations. Price: Varies.
Prices are public list prices as of 2026-10-20 where shown; otherwise they vary by plan and usage. Check the vendor's pricing page.
Workflow
- Export the proposal's key numbers: system size, estimated production, price, financing terms, assumptions used.
- AI drafts a one-page summary: what you're buying, what it costs, how you pay, what's assumed.
- Rep checks every number against the proposal and sends.
- Day 3: ask which part they'd like explained more; AI drafts the answer from the proposal.
- Day 10: offer a short call with the homeowner and any co-decision-maker.
Starter prompt
What to measure
FAQ
Is it risky to have AI explain financing?
It's fine as a drafting step if every number is copied from the proposal and a rep checks it before sending.
Should the summary include incentives?
Only the ones in the proposal, labeled as assumptions the homeowner should confirm with a tax professional.
Does this replace the consult?
No. It helps homeowners remember and share what they heard.
Safety note: any customer-facing AI should hand gas smells, sparking, smoke, or active flooding to a human or emergency services right away. Last updated 2026-10-20. How we pick and check use cases.
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