Stop Guessing Solar Solutions

Instantly match customers with the right solar products based on their needs and site conditions.

Sifting through specs, site data, and pricing to recommend the right solar system eats up hours you don’t have. One wrong detail and you’re back to square one—frustrating for you and your customers.

The hidden cost

What this is really costing you

Selecting the ideal solar products for each customer means manually comparing electrical requirements, analyzing site conditions, and balancing costs. You juggle technical specs, customer preferences, and ever-changing pricing, often across multiple documents and tools. This repetitive process drains your time and leaves too much room for error.

Time wasted

1.9 hrs/week

Every week, burned on work an AI agent handles in minutes.

Money lost

$2,755/year

In salary, missed revenue, and operational drag — annually.

If you keep ignoring it

Manual selection leads to missed details, slower proposals, and lost deals. Over time, errors and delays can damage your reputation and reduce your close rate.

Return on investment

The math speaks for itself

Today — without agent

1.9 hrs/week

of manual work

$2,755/year/ year

With your AI agent

0.4 hrs/week

agent-handled

$580/year/ year

You save

$2,175/year

every year, reinvested into growing your business

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

1

Connect your tools

Link your solar analysis, document management, and project planning tools to centralize customer and site data.

2

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.'

3

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

Review site surveys, photos, and measurements one by one.
Agent summarizes key constraints and highlights issues instantly.
30 min/week
Manually compare product specs with customer needs across spreadsheets.
Agent cross-references specs and recommends best-fit options.
40 min/week
Build proposals from scratch, updating pricing and specs each time.
Agent drafts itemized quotes with current pricing and details.
25 min/week
Calculate ROI and payback for each system manually.
Agent generates side-by-side cost and ROI comparisons.
15 min/week

Agent skill set

What this agent knows how to do

Product Matching

Compares customer energy needs and site specifics to recommend the best-fit solar products.

System Sizing

Calculates optimal system size based on usage, site data, and future growth.

Quote Preparation

Drafts clear, itemized proposals with tailored product and pricing options.

Site Condition Analysis

Summarizes site constraints and flags issues impacting installation or product choice.

Cost Comparison

Quickly compares total costs and ROI for different system configurations.

AI Agent FAQ

Hire your AI agent

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