AI Sales Force

AI sales and demand engine:
finds, qualifies, and closes leads — on autopilot.

Not a fairy tale about "AI replacing people," but a working sales system. AI finds leads in your markets (AI-OSINT, parsing, data mining), captures inquiries from your site and messengers, qualifies them against BANT, reaches decision makers, runs outreach, nurturing, and follow-up, and keeps the CRM in order — so your team responds in minutes, not hours. Managers are freed up for negotiations and closing deals. A separate loop handles inbound organic demand: SEO, GEO, and service pages bring inquiries from Google and AI search. Deep specialization — energy B2B (solar, UPS, BESS).

See how we work
Reaction < 5 min
AI responds instantly — while competitors think, you're already in dialogue with the lead
+30–50% meetings
automatic follow-up and qualification remove lead leakage in the sales funnel
24/7 processing
AI agents work without weekends, sick days, or bad moods
Quick self-diagnosis

Is this right for you now?

Here's how AiUse sees it

Leads come in, but managers respond hours later or the next day — warm contacts go cold.

We don't sell a bot for the sake of a bot. We build a process: lead movement map, response rules, AI handling, and control.
AI doesn't replace managers — it removes routine and multiplies their speed, follow-up discipline, and lead control.
How the engine works

One flow: from lead discovery to deal

AI guides the lead through the entire journey and hands off a warm, qualified contact to the manager. No calls into the void, no forgotten chats.

01

Lead search

AI-OSINT, parsing, and data mining across countries and sources

02

Capture

Site, forms, messengers — no lead gets lost

03

BANT qualification

Budget, need, timeline, authority

04

Reaching decision makers

We find the person who actually makes the decision

05

Outreach + nurture

Personalized: Telegram, email, LinkedIn

06

Follow-up

Repeated follow-ups until the lead matures

07

CRM management

Statuses, routing, control — automatically

08

Deal

The manager gets a warm lead with context

Steps 01–02 are inbound and outbound search; 03–04 are filtering and reaching the right person; 05–07 are nurturing; 08 is the person closing the deal. Any step can be plugged in separately or as a full loop.

Who it's for

Who AI Sales Force fits

For businesses that already have inbound flow but the team can't handle it well — and every lost lead costs real money.

Who it's for

For businesses with slow lead response

If leads sit unanswered, managers respond chaotically, or follow-up happens sporadically.

Who it's for

For teams where SDR routine eats up time

When managers spend their day on repeats, reminders, sorting, and manual statuses instead of selling.

Who it's for

For the owner who needs conversion control

When it matters not just to "have a CRM" but to see: who took the lead, when they replied, what they achieved, and where they lost it.

What's included

Three stages: from lead movement map to AI-controlled funnel

From the lead journey map to AI agents and conversion control: each stage closes a specific point of loss in the sales process.

Lead flow and first response

First, we map the lead's journey: where they come from, where they should land, who responds first, and exactly where things break.

  • Audit of inbound channels and leak points
  • SLA on first response and routing rules
  • Templates, scenarios, and statuses for CRM
What you get on exit
  • Transparent lead movement from entry
  • Less manual sorting
  • Managed response speed
Typical scenarios

Where AI Sales Force delivers measurable results

Three scenarios where AI sales automation reduces leakage and accelerates conversion. The first one you can test on your own site right now: our live AI agent demo builds a knowledge base from your pages in a few minutes, then answers and qualifies the way it would for your visitors — no setup, no call.

Inbound

Inbound leads from ads or the site get lost

  • A lead comes in, but the rep replies hours later or the next day.
  • Focus: SLA, auto-alerts, summaries, CRM routing.
  • Result: warm leads don't go cold.
Reactivation

We have a base and need to revive follow-up

  • Managers don't get back to old conversations properly.
  • Focus: prioritization, AI-prepared context, reminders.
  • Result: opportunities recovered without hiring a separate SDR team.
Qualification

Meetings are booked inconsistently

  • There are many low-quality conversations and weak initial qualification.
  • Focus: clarification scripts, noise filtering, priority-based routing.
  • Result: the sales team works with a warmer pipeline.
Potential assessment

Quick impact calculator

This isn't a financial model, just a rough sanity check: does it make sense for you to invest in this service right now.

Sales / month
0
Current revenue
$0
Additional potential / month
$0

If the number is significant, it makes sense to review the funnel, processes, CRM, automation, and points of money leakage right now.

FAQ

Questions owners actually ask before getting started

Practical answers for the owner: what gets automated, what stays with humans, and when it pays off.

No. A good AI process removes routine, speeds up the first response, and prepares context, but selling complex B2B solutions still requires a human.
In speed of response, follow-up, summary, routing, data completeness checks, helping the manager, and enforcing process discipline.
In most cases, yes. The format depends on your stack: Google Sheets, amoCRM, Pipedrive, HubSpot, Bitrix, and others.
Not from a bot. First, from the lead movement map, ownership rules, basic statuses, and a clear SLA on response.
Speed to first response, conversion to contact, conversion to meeting, share of missed leads, follow-up discipline, and final conversion to sale.
When you already have a flow of inbound or outbound contacts, but the team spends too much time on manual follow-ups and loses warm opportunities.
B2B Energy

Why we're effective in energy

10+ years in industrial B2B — energy included: solar, UPS, ESS/BESS, inverters. We speak the buyer's language and calculate station payback. In energy, deal sizes run tens of thousands of dollars, so One saved lead pays for the system in a month.

How it works in energy
Engagement models

Pay the way that works for you

Implementation starts at $7,000 and covers the full loop: prospecting, AI qualification, outreach, follow-up and CRM automation. The engagement model on top of it is yours to choose.

  • Fix — fixed implementation cost plus ongoing management.
  • Fixed + % — lower retainer plus a bonus for results.
  • For a share (partnership) — we work as a growth partner, tied to results.
  • Pay per lead — you pay for qualified contacts.