(Results)

Results measured
in operations

What changes when an AI department runs inside a company. Every number comes from an AI Infinity engagement, shown with the context it was measured in. Client names are kept confidential.

(01)In numbers

Headline
results

The figures clients ask about first, each tied to the operation where it was measured.

+327%

revenue growth in 90 days

Sales operation, AI-led commercial process

+212%

more booked meetings in 45 days

Same sales operation

−37%

customer acquisition cost

Same sales operation

85%

of employee requests resolved without human intervention

Autonomous employee care, HR

10–15 → 3–5 days

Monthly close in finance operations run with AI agents, from reconciliation to statements.

+40 h

per month returned to the sales team, in the same sales operation.

Case 01 · Sales

A sales operation that grew 327% in 90 days

A company with a mature commercial operation put Infinity Sales in charge of lead response, qualification and follow-up across channels.

revenue in 90 days

+327%

revenue in 90 days

booked meetings in 45 days

+212%

booked meetings in 45 days

customer acquisition cost

−37%

customer acquisition cost

per month returned to the team

+40 h

per month returned to the team

The challenge

Leads arrived but did not move through the funnel. Sellers spent their time on operational tasks, responses were slow, and growth depended on hiring more people.

What the department did

  1. 1Strategic diagnosis of the sales journey, lead volume, channels and metrics
  2. 2AI trained on the company's own CRM, funnel and lead history, with no generic templates
  3. 3Agents operating 24/7 on WhatsApp, email, voice and CRM, scheduling and nurturing leads
  4. 4Weekly reviews by AI Infinity specialists, adjusting scripts and flows to performance data

The outcome

Revenue grew 327% in 90 days, reaching BRL 7.79 million in three months, with more meetings booked and a lower cost per customer acquired.

AI for Sales

Case 02 · Production planning

A stoppage pattern hidden for years, found by a PCP agent

A Brazilian manufacturer asked AI Infinity to analyze its production history with a specialist production planning (PCP) agent.

of undetected pattern surfaced

Years

of undetected pattern surfaced

successive operations validated

2

successive operations validated

replanning connected to the MES

Auto

replanning connected to the MES

The challenge

Recurring stoppages reduced output, but the internal team could not trace a cause. Each stoppage was handled as an isolated event and replanned by hand.

What the department did

  1. 1A specialist PCP agent analyzed the plant's operating history
  2. 2The agent identified a stoppage pattern the team had not detected for years
  3. 3The recommendation was applied and validated across two successive operations
  4. 4The agent stays connected to the MES and replans automatically when the pattern recurs

The outcome

A recurring loss became a predictable, managed event. Planners now receive a ready re-sequenced plan instead of rebuilding it after each stoppage.

AI for Production Planning

Case 03 · Finance

A finance department run by agents, curated by people

A company moved its financial routines to AI agents working in real time, with human curation at every decision point.

bank reconciliation via Open Finance

Real time

bank reconciliation via Open Finance

board dashboards

Daily

board dashboards

typical monthly close with agents

3–5 days

typical monthly close with agents

The challenge

Reconciliation, payables and reporting depended on manual exports and month-end effort, and leadership saw the numbers late.

What the department did

  1. 1Open Finance integration with several banks, reading statements in real time
  2. 2Direct connection to the ERP for reconciliation and posting
  3. 3Human approval at decision points such as divergences and held payments
  4. 4Executive dashboards used daily by the board

The outcome

Reconciliation became continuous instead of a month-end task, and the board follows the financial position every day. In close processes run by AI agents, the monthly close typically falls from 10–15 days to 3–5 business days.

AI for Finance

Case 04 · Human resources

Employee care that resolves 85% of requests on its own

An autonomous employee care system answers questions about policies, rules and processes on the channels employees already use.

of requests resolved without human intervention

85%

of requests resolved without human intervention

The challenge

HR spent most of its time answering repetitive questions, and important messages from leadership were lost along the way.

What the department did

  1. 1A virtual assistant trained on the company's policies and internal rules
  2. 2Answers and notifications delivered on employees' WhatsApp
  3. 3Escalation of sensitive cases to the HR team
  4. 4Task completion alerts sent to leaders in real time

The outcome

85% of employee requests are resolved without human intervention, freeing HR for strategic work.

AI for HR

Companies running on AI Infinity

  • Grupo GPS
  • American Immigration Associates
  • Hollytec
  • Light Instruments Brazil
  • Borelli
  • Akila Connections
  • RHT
  • Bolta Grupo Multissetorial
  • TransFast
  • Astro Distribuidora
  • Indústria Hilê
  • Eco2 Incorporadora
  • Colégio Gardner
  • Clinic Mais
  • Academia Dandy
  • Vai Korá Tintas

Let's find
your first result

Book a strategy session. We review your current architecture, map the bottlenecks and outline where AI pays off first. The session is free and carries no commitment.