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AI Estimate and Intake Assistant for Solar Installers in Austin, TX
A structured intake assistant that works out which utility serves the address, gathers the bills, roof photos and panel photos your designer needs, and hands your estimator a complete site packet before anyone drives across town.
An intake desk for your solar estimators, not a sales bot
Most Austin solar inquiries arrive half-formed: a homeowner who wants to know whether solar makes sense, a phone number, maybe a street address. Before your estimator can model a system, somebody has to collect a year of usage, establish who delivers power to the house, look at the roof and the electrical panel, and find out what the owner is actually trying to solve. An AI estimate and intake assistant does that collection work in a structured way, then passes a clean packet to the person who designs and prices the job.
It is deliberately narrow. It does not score leads, chase unanswered proposals, or answer billing questions for existing customers; those are separate tools. Its single job is to turn a first conversation into a site file complete enough that your estimator can open a design tool such as Aurora Solar or OpenSolar and start working, instead of spending the first call asking for the same ten things every time.
For a solar company, that file matters more than it does in most trades. Production modeling depends on roof planes, azimuth, shading and consumption history. Interconnection depends on the utility. Equipment choices depend on the service panel and on whether the owner wants backup. When any of those pieces is missing, the estimate either stalls or gets built on guesses that come back to bite you at the site survey.
The first fork in every Austin intake: who delivers power to this address?
Austin is unusual among large Texas metros because the city itself is served by Austin Energy, a municipally owned utility that sits outside the state’s retail electricity market. Step past the service boundary and the picture changes. Much of the surrounding Hill Country and several eastern and northern suburbs are served by electric cooperatives such as Pedernales Electric Cooperative and Bluebonnet Electric Cooperative, and some suburban pockets fall in retail-choice territory where the homeowner picks a retail provider. A house in a new subdivision twenty minutes out may face completely different interconnection steps, export compensation and program rules from a bungalow near downtown.
So the assistant asks for the utility early, and it confirms rather than assumes. It invites the homeowner to upload a recent bill, reads the utility name from it, and cross-checks that against what the owner typed. If the two disagree, or the owner is unsure, the packet flags it for the estimator instead of guessing from a ZIP code. The assistant records which program rules the estimator will need to review; it never tells the homeowner which rebate, credit or buyback arrangement they will receive, because those rules are set by the utility, change over time, and depend on details only your team can verify.
What lands on the estimator’s desk
The hand-off is a single structured record, pushed into your CRM (HubSpot and Salesforce are common choices) or delivered as a PDF, with photos attached and missing items listed at the top. A typical Austin packet looks like this:
| Section | What the assistant collects | Why the estimator needs it |
|---|---|---|
| Property | Service address, owner or renter, single-family, townhome or small commercial, HOA name if any | Confirms authority to sign and whether shared roofs or association approval are involved |
| Usage | Twelve months of bills, or as many as the owner can find, plus recent changes such as a new EV, pool pump or home office | Sizing rests on consumption, and a recent change can make last year’s history misleading |
| Utility | Utility name read from the bill, account type, any program enrollment the owner mentions | Drives interconnection paperwork and which program rules apply |
| Roof | Material, approximate age, known leaks, recent replacement, ground-level photos of each plane | A roof near the end of its life changes the whole project sequence |
| Shading | Trees taller than the roofline, neighboring structures, a photo from each side of the house | Mature trees are the most common reason a promising roof underperforms |
| Electrical | Main panel photo, door open, breaker label readable, main breaker rating if visible, meter location | Panel capacity decides whether an upgrade belongs in the scope |
| Goals | Lower bills, backup during outages, EV charging, planned additions | Shapes battery, inverter and load planning |
| Access | Gate, dogs, attic hatch location, preferred survey days | Prevents a wasted trip |
Every field carries a status of provided, declined or unknown. Your estimator sees at a glance which gaps are worth a call and which can wait for the survey.
Live oaks, long summers and roofs that bake
Many established Austin neighborhoods sit under a heavy tree canopy, and that is where remote estimating goes wrong most often. Satellite imagery can be months or years old, and it rarely shows how much a spreading oak shades a south-facing plane on winter afternoons. The assistant asks directly: are there trees taller than the roofline, on which sides of the house, and would the owner consider trimming? It then walks the homeowner through a short photo set taken from the ground, one per side, so the designer can compare what the imagery suggests with what is actually standing there. It never suggests climbing onto the roof or up a ladder for a better angle.
Heat affects intake too. Long stretches of triple-digit afternoons mean summer bills dominate the usage history, and owners often describe their goal as taming the August bill rather than hitting a percentage offset. The assistant records that goal in the owner’s own words. It also asks whether the air conditioner was replaced or insulation added recently, because an HVAC change can shift consumption enough to matter in sizing. On the western edges of the metro, where homes back onto cedar brush and open land, it notes whether the lot borders undeveloped terrain so the estimator can think about access and clearance during the survey.
Buyers who arrive with their own spreadsheet
Austin’s technology workforce produces a particular kind of solar shopper: someone who has already pulled their smart-meter data, read forum threads about inverter brands, and perhaps drafted a production estimate with a free online tool. These buyers can be excellent customers, and they lose patience quickly with a form that asks basic questions they have already answered.
The assistant adapts. If the owner has interval data or a monthly usage export, it accepts the file instead of asking for twelve bill photos. If they name a preferred panel, inverter or battery, it records the preference without endorsing or dismissing it. If they share a proposal from another installer, it attaches the document for your estimator and offers no comment on the competitor’s price, design or claims. When a question goes beyond intake, such as whether microinverters beat a string inverter on a partly shaded roof, the assistant says plainly that the estimator will cover it on the design call, and logs the question so it is not forgotten.
The same workforce also means more electric vehicles in Austin garages, sometimes two or three. The assistant asks about current and planned EVs and where chargers sit or will sit, because a second vehicle next year can change both system size and the electrical plan.
After Uri and the 2023 ice storm, backup is often the real goal
Central Texas homeowners remember the February 2021 winter storm, and many Austin residents also remember the February 2023 ice storm, when falling limbs pulled down lines across the city and some households waited days for power. A large share of inquiries now open with a battery question rather than a bill question. Intake has to capture that intent precisely, because whole-home backup and partial backup of essential circuits lead to very different designs.
The assistant asks what the owner wants running during an outage: refrigerator and lights, a home office, a well pump, the air conditioner. It asks whether a standby generator is already installed and where. If the owner mentions medical equipment that depends on power, the packet marks it prominently so the estimator handles it with care. The assistant makes no promise about how long any battery would last.
Where the assistant stops and a person takes over
- No prices, savings or payback figures. Asked about cost, it explains that your estimator prepares a written proposal after reviewing the packet, and offers to book that conversation.
- No incentive advice. Tax credits and utility programs have shifted in recent years; it notes what the owner has heard and leaves eligibility to your team and the owner’s tax professional.
- No roof or electrical verdicts. It gathers photos; declaring a roof sound or a panel adequate is not its call.
- Immediate safety hand-off. If a homeowner describes sparking, a burning smell or heat at the panel, intake stops, the owner is told to contact an electrician or emergency services, and your office is alerted.
- No financial identifiers. Social Security numbers, bank details and credit information are never requested.
- A human on request. Anyone who asks for a person is routed to your team with the conversation attached.
How EVOTECH sets this up for an Austin solar company
EVOTECH is a US-based team in the Houston area that builds and supports AI systems remotely for companies across Texas and the rest of the country. We have been in business for more than twenty years and are rated 5.0 on Google. For an Austin installer, the work begins with a free video or phone consultation, where we look at how inquiries reach you today and what your estimators find themselves re-asking.
From there we agree on the field list with your estimating team, write utility-confirmation logic for the service areas you actually cover, and wire it into your CRM and scheduling calendar. We test it against sample conversations, including renters, co-op members and shoppers holding a competitor’s proposal, before it touches a real customer. You receive a fixed-scope written quote before any build begins. For the broader picture, see our pages on AI estimate and intake assistants for Texas contractors, AI chatbots for solar installers in Texas and AI chatbots for Austin contractors, or read about connecting AI to the tools you already use.
Related services
Frequently asked questions
Can the assistant tell whether an Austin address is served by Austin Energy or a cooperative?
Will it estimate how many panels a home needs?
What happens when a homeowner has no bills handy?
Does it work in Spanish?
Can we change the questions later?
Give your Austin estimators a complete site file
Book a free phone or video consultation. We will map your current intake, show what a structured packet could look like for your service area, and follow up with a fixed-scope written quote.
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