Solar energy / BESS / CRM

AI automation for companies in solar energy

We design lead handling for CEC, BESS, batteries, and energy solutions: questionnaires, qualification, proposals, CRM, follow-up, and control of the long sales cycle.

For companies in solar energy, where an enquiry requires technical parameters, fast response, and careful follow-up to a consultation. Industry specialization since 2021: solar power plants, UPS, ESS/BESS, inverters. Start—an audit in 48 hours (from $750) with an assessment of losses on wholesale enquiries.

When you need it Where the money leaks Formats Calculator
See What's Included

A first step without a big implementation: a short audit from $1,500, then decisions only where they make commercial sense.

Quick self-diagnosis

Is there money leaking here?

Enquiry received.
No fast response, no status, no next step.
CRM exists.
The owner still manually checks who did what.
AI isn't needed "for trend".
It must remove delays, repetition, and opacity in sales.
When you need it

You'll recognize the problem before implementation

This page isn't about abstract AI. It's about the situations where leads, accountability, and money are already slipping in your real process.

leads come in via Telegram, email, forms, or calls, but there's no unified control;

managers respond late, and warm leads go cold in the meantime;

the owner can't see which sources actually drive sales and which only drive costs;

A CRM or spreadsheet exists, but statuses are tracked inconsistently and without accountability;

follow-up depends on the manager's memory, not the system;

the site looks fine but doesn't lead people to the enquiry directly enough;

You want to implement AI, but it's unclear which process to start with without overspending.

Where the money leaks

The problem isn't always lead volume

Often businesses don't need more chaotic traffic. First, close the places where existing demand never reaches a sale.

The form exists, but it's never been tested

→ some clients don't make it to the enquiry or don't understand what happens after they click.

Lead lands in messenger without a status

→ the manager doesn't see the priority and may respond to a hot client too late.

No fast first contact

→ the competitor manages to grab attention while your team figures out who should respond.

CRM is filled after the fact

→ the owner sees not the real funnel, but a story manually assembled for the report.

No follow-up scheduled

→ The word “I'll think it over” turns into a lost sale without a clear next step.

Lead sources aren't tied to deals

→ marketing optimizes for leads, not for money, margin, or client quality.

Managers each work their own way

→ you can't scale what depends only on the personal discipline of individuals.

AI is connected without a process

→ the bot adds noise but doesn't solve the lead routing, accountability, or control problem.

What AiUse does

We're not selling a "bot." We're building a managed commercial process.

For a query like "AI automation for solar energy," it's not just about adding a tool — it's about understanding where it should impact lead generation, the manager, CRM, follow-up, and owner decisions.

Step 1

We map the current customer path: from the first screen, ad, or SEO query to the enquiry, CRM, and next touchpoint.

Step 2

We pinpoint where you lose leads, speed, accountability, data and money.

Step 3

We check the site, forms, messengers, email, Telegram, CRM, or Google Sheets.

Step 4

We show what can be fixed quickly without a big project or unnecessary complexity.

Step 5

We design the AI/CRM logic: statuses, routing, human handoff, follow-up, and owner-level control.

Step 6

If needed, we implement turnkey: pages, forms, tables, CRM, AI assistant, Telegram bot, dashboard, or SEO link building.

What's included in the first teardown

diagnostics of the current process for the query "AI automation for solar energy"
lead journey map and responsible touchpoints
check the site, forms, messengers, CRM or Google Sheets
a list of quick fixes you can make without a big implementation
AI/CRM system logic for the first stage
an implementation plan with priorities: what to do now, what to postpone, what's not needed
Engagement formats

We start with a small step if building a full system doesn't make sense yet

from $750

Quick audit

48 hours, a list of problems, quick fixes, an AI/CRM automation plan.

from $1,250–$3,000

Quick fixes

Forms, CTAs, lead table, basic follow-up, manager notifications.

from $4,750–$9,000

AI/CRM mini-system

AI assistant, Telegram/Google Sheets/CRM, lead classification, status control.

individually

Support and growth

SEO, ads, funnel, analytics, regular improvements.

Mini Loss Calculator

Assess the scale of lead leakage

Enter approximate numbers. The result helps you understand whether to start with an audit, quick fixes, or an AI/CRM mini-system.

Potential loss / mo.
$0

This isn't a financial forecast, but a quick estimate of the scale of losses to prioritize work.

FAQ

Commercial questions before kickoff

We don't look at abstract strategy, but at the concrete lead journey, data, responsible people, CRM/spreadsheets, response speed, and the next commercial step for the topic: AI automation for solar energy.
Usually 48 hours after we get access, links, and a short process description. If the system is larger, we first fix the most critical points of loss.
Link to your site, description of lead sources, example of the current lead path, screenshots or access to CRM/spreadsheet if safe and relevant.
Yes. Often the first step is a simple Google Sheets CRM or minimal status logic, so you don't wait for a complex implementation.
Both formats are possible. After the audit, you can take the list of fixes and implement it yourself, or delegate the implementation to AiUse.
Yes. For B2B, statuses, repeat touches, lead context, CRM discipline, and pipeline visibility for the owner are especially important.
Yes. We design solutions for your stack: Telegram, email, site forms, Google Sheets, CRM, API, or a manual process at the first stage.
Depends on scope. Quick fixes usually start from $1,250–$6,000, an AI/CRM mini-system from $4,750–$9,000.