Solar Sales Quote Automation for Teams
Let your AI agent handle product selection, site checks, and proposal drafting—so you spend less time on spreadsheets and more time closing deals.
As a solar sales manager, you juggle Excel sheets, email threads, and site photos just to build a single quote. Every proposal means hours spent cross-referencing specs and pricing, often missing critical site constraints. The manual grind slows your response times and leaves you vulnerable to errors that cost deals.
An AI agent that automates solar product selection, system sizing, site analysis, and quote generation for sales teams.
What this replaces
The hidden cost
What this is really costing you
Solar sales professionals waste hours each week pulling client usage data from Salesforce, comparing panel specs in Excel, and drafting proposals in Google Docs. The process is tedious, error-prone, and makes it easy to overlook site issues or outdated pricing. This manual workflow delays quotes and frustrates both your team and your customers.
Time wasted
2 hrs/week
Every week, burned on work an AI agent handles in minutes.
Money lost
$4,000/year
In salary, missed revenue, and operational drag — annually.
If you keep ignoring it
Ignoring this problem means losing deals to competitors who respond faster, risking incorrect system sizing, and facing costly callbacks for missed installation issues.
Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.
Return on investment
The math speaks for itself
Today — without agent
2 hrs/week
of manual work
With your AI agent
20 min/week
agent-handled
You save
$3,670/year
every year, reinvested into growing your business
Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.
Jobs your agent handles
What this agent does for you
Complete jobs, handled end-to-end — so your team focuses on what matters.
Custom Product Recommendations
You ask your agent to suggest the top three solar systems for a client with specific energy needs and roof space.
Rapid Quote Generation
You ask your agent to prepare a detailed quote based on a site assessment and customer budget.
Site Issue Flagging
You ask your agent to review a site survey and highlight any installation challenges or code concerns.
ROI Comparison
You ask your agent to compare the long-term savings of two different panel options for a skeptical customer.
How to hire your agent
Connect your tools
Link your solar analysis, document management, and project planning tools to centralize customer and site data.
Tell your agent what you need
Type: 'Recommend the best solar system for this client with 7,000 kWh/year usage, partial shade, and a $20,000 budget.'
Agent gets it done
Your agent returns a tailored product recommendation, system sizing, and a ready-to-send proposal.
You doing it vs. your agent doing it
Agent skill set
What this agent knows how to do
Product Selection
Analyzes client energy profiles from Salesforce and recommends optimal solar panels, ranking options based on site constraints.
System Sizing
Calculates ideal system size using customer usage history and roof measurements from site surveys, delivering precise recommendations.
Proposal Generation
Drafts itemized quotes in your preferred Google Docs template, incorporating current pricing and tailored product options.
Site Analysis
Reviews uploaded site photos and survey data to flag installation challenges, code compliance risks, and shading issues.
Cost & ROI Comparison
Compares financial outcomes for multiple system configurations, presenting clear payback and savings estimates for each option.
AI Agent FAQ
Absolutely. Upload your site survey and photos, and the agent will factor in shading, roof type, and local code requirements for every recommendation. It flags installation risks and adapts proposals for unusual scenarios.
The agent uses your latest pricing files from shared drives or Google Sheets. You’ll need to keep these updated for accurate quotes. Automated pricing integration is planned for future releases.
Yes. The agent connects via API to tools like Aurora Solar, Salesforce, and Google Sheets. You can import site data and customer profiles directly for seamless quote automation.
You can specify your preferred Google Docs template or layout. The agent follows your instructions for every proposal, including branding, line items, and pricing details.
All data is encrypted in transit using TLS 1.3. The agent processes information only when you initiate a task and does not store customer records after the quote is generated.
By automating product selection and quote generation, the agent eliminates manual errors from spreadsheet calculations and outdated specs. It cross-references site data and current pricing, ensuring every proposal is precise and compliant.
Related tasks
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