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An upscale promenade at night, with palm trees and lit gardens: the shop windows are dark and only one office is lit, computers on and an Open sign on the door.

Thursday · 22:46

Business hours are over.Your salesaren’t.

ZexIA finds where technology pays off most in your business, then builds the AI agents and systems that do the work every day: answering, selling, organizing and keeping records. In production, not in a slide deck.

Thursday. The workday ended at 6 PM.

10:47 PM

That’s when customers decide. And when nobody’s watching WhatsApp.

  1. 22:46The workday ended at 6 PM. One office is still lit.
  2. 22:47A request for a proposal comes in. Nobody on the team is looking.
  3. 22:47Someone answers right away and asks the right questions.
  4. 22:48The CRM logs everything on its own: lead, score, stage and meeting.
  5. Tomorrow, 9 AMThe consultant walks in already knowing everything.
Sales teamonlinetyping…
  1. Customer: Hi! Could you send me a proposal tonight? We need to decide by Friday.22:47
  2. Company: Good evening! Happy to. To get the proposal right: what do you need, for how many people, and who else is part of the decision?22:47
  3. Customer: All 3 offices, about 40 people. Our CFO and I sign off on it.22:48
  4. Company: You’re both booked with our consultant tomorrow at 10 AM. He already has the summary and will bring the proposal.22:48
  5. Meeting bookedTomorrow · 10:00With the consultant · reminder at 922:48

Outcome 01

No leadgoes cold.

The agent answers on WhatsApp at any hour, the CRM fills itself in and the manager sees the pipeline in real time.

Illustrative scene, with synthetic data.

Live demo

Now it’s your turn.

Tell ZexIA’s agent what your company does and what you want to improve. It asks about your operation while the CRM record gathers context, signals and a next step. Use a fictional scenario without personal data.

ZexIA’s sales agent

example, synthetic data

Agent

Hi! I’m ZexIA’s sales agent. Which part of your company’s day-to-day work would you like to improve?

You

I run a distribution business with three salespeople and about 400 WhatsApp inquiries a month. We lose leads at night. I want to connect customer service and CRM. How can you help?

Agent

We can connect customer service to your CRM so salespeople can pick up each conversation with context. When would you need this up and running?

Demo: the conversation goes through an AI provider and isn’t recorded. Don’t share personal data. Privacy policy

CRM record

example, synthetic data

Record updated: lead score 58, stage Interested.

Lead score58 / 100

A rating based on conversation signals. It is not a purchase probability.

Pipeline stage3 of 4
  1. New
  2. Qualifying
  3. Interested
  4. Ready to talk
Context
Distribution business with three salespeople and about 400 WhatsApp inquiries a month; loses leads at night and wants to connect customer service and CRM.
Next step
Understand the implementation timeline.
Signals
  • 400 inquiries a month
  • loses leads at night
  • wants to connect customer service and CRM
Rather talk? Speak with the agent by voice

What we build

Five outcomes.One full dayof operations.

Each outcome is made of building blocks already running in production, at real companies. From the 22:47 message to the month-end close.

  1. 22:47No lead goes cold
  2. 02:14Serve more clients without hiring more
  3. 07:30A full schedule, a front desk that never jams
  4. 09:50Your company’s memory
  5. 18:40A back office that closes the month without an all-nighter

22:47 Chapter 01 of 05

No lead goes cold

The late-night lead becomes a morning meeting.

The agent answers on WhatsApp within minutes, the CRM fills itself in and the manager sees the pipeline for each team in real time.

  • Answers and sells on WhatsApp, any time

Who it’s for: Retail, dealerships and distributors, real estate agencies, developers and schools

ZexIA, CRM and sales agent
PipelineDowntown
Downtown24North17
Leads today37+12%
Open conversations6now
Interested5
Brian T.22:47

Proposal for 3 offices by Friday

WhatsApp81
Moved by AI, with evidence
Paul R.19:20

Waiting for the meeting

Referral74
Ready4
Brian T.22:47

Proposal for 3 offices by Friday

WhatsApp81
Moved by AI, with evidence
Julia P.18:02

Meeting tomorrow, 11 AM

Referral88

Illustrative scene, synthetic data. AI-generated photo.

02:14 Chapter 02 of 05

Serve more clients without hiring more

The overnight queue arrives already triaged.

24/7 intake on WhatsApp, contracts drafted in minutes and every meeting written up.

  • Answers and sells on WhatsApp, any time
  • Documents that write and read themselves
  • Everything your company knows, searchable

Who it’s for: Law firms, consultancies and B2B services

WhatsApp triageovernight queue
  1. 02:14“A former employee just filed a labor claim against us. What do I do?” Employer defense · meeting proposed for today, 2 PM
  2. 06:40“I need the service agreement.” Contract generated from the CRM · review before signing
  3. 07:55“How did yesterday’s meeting go?” Minutes ready · two decisions, one open item

Triaged before 8 AM · the team starts the day with the queue in order

Illustrative scene, synthetic data. AI-generated photo.

07:30 Chapter 03 of 05

A full schedule, a front desk that never jams

The front desk opens with the day already confirmed.

Confirmations and reminders on WhatsApp, test results organized before the appointment, no follow-up visit lost.

  • Answers and sells on WhatsApp, any time
  • Documents that write and read themselves

Who it’s for: Clinics and medical practices (operations, never diagnosis)

Schedule and patient filetoday, 07:30
  • 08:00confirmed
  • 08:30confirmed
  • 09:00reminder sent
  • 09:30filled from the waitlist
Lab report PDF, now data
Ferritin38 ng/mL96% · accepted
Vitamin D27 ng/mL64% · human review

Illustrative scene, synthetic data. AI-generated photo.

09:50 Chapter 04 of 05

Your company’s memory

Ten minutes before the meeting, the briefing is ready.

Email, WhatsApp, calendar and meetings in a single memory, with a briefing before every meeting and tasks that create themselves.

  • Everything your company knows, searchable
  • Your system, run by conversation
  • AI proposes, rules decide

Who it’s for: Executives, business groups, holding companies and any firm that runs on meetings and messages

Meeting briefingThursday, 10 AM
  • Email
  • WhatsApp
  • Calendar
  • Previous minutes

Meeting on the customer service pilot

From the last meeting

The pilot starts with one office. Weekly report on Mondays.

Open commitments

Name an owner for the pilotdue Thursday

Send the revised timelinedone Tuesday

Sources: 1 email · 3 messages · 1 set of minutes

Illustrative scene, synthetic data. AI-generated photo.

18:40 Chapter 05 of 05

A back office that closes the month without an all-nighter

The month closes and nobody stays up all night.

Collections, reconciliation and documents processed with an exceptions queue, with no data entered twice.

  • Documents that write and read themselves

Who it’s for: Finance, collections and administrative operations

Month-end closereconciliation
  • Invoice 0912$1,240.00matched
  • Transfer 3381$860.00matched
  • Bill 4471$3,115.40off by $12.40
  • Invoice 0915$2,090.00matched
Exceptions queue

One discrepancy to review. Everything else already matches the bank statement, with no retyping.

Illustrative scene, synthetic data. AI-generated photo.

What we deliver

From conversation to work done. Connected.

  • Customer service and CRM

    Conversations become records, context and a next step for the salesperson.

  • Documents and operations

    Records feed contracts and documents that the team can review.

  • Operational memory

    Messages, meetings and documents become available to search.

code changes shipped to systems ZexIA has built
6,058
projects built, from single agents to full platforms
25
days with code shipped since November 2025
232

Type: ZexIA development volume, not client outcomes · Method: unique commits in ZexIA repositories (local and GitHub), from Nov 19, 2025 to Oct 2, 2026; a project counts from 20 commits.

What we don’t do

  • We don’t sell hours: the scope is fixed and tied to the return.
  • We don’t sell screens without a database and business rules behind them.
  • We don’t automate the human touch your customers value.
  • We don’t build diagnostic AI for healthcare: operations only.
  • We’re not a marketing agency.

Where it already runs

In production, at real companies.

See the operational problem, the system we delivered and how the team works with it. Cases are presented by industry, preserving company identities.

By industry

All cases What we build, by industry

How it starts

From the first call to a system in production.

Each step only happens if the previous one shows it’s worth it. You decide based on what you’ve seen, not on promises.

  1. 40-minute call

    free

    We learn how your operation runs and tell you, frankly, whether it makes sense to go further.

  2. AI Opportunity Diagnostic

    paid, 2 to 3 weeks

    Process mapping, quick wins, KPIs to measure each opportunity and the estimated return, in a report you keep.

  3. Custom project

    in waves

    A proof of concept in about 2 weeks, a first version in use in 4 to 8 weeks, then production.

  4. Ongoing improvement

    monthly

    Maintenance, new automations and KPI tracking once the system is live.

Request a 40-min callChat on WhatsApp

Frequently asked questions

What every owner asks.

What is ZexIA?

A Brazilian company that builds custom AI systems: agents on the official WhatsApp, management systems, automations and knowledge bases that run in production. The goal is to stop every process from depending on the owner.

What systems does ZexIA build?

Agents that answer and sell on WhatsApp at any hour, documents that write and read themselves, searchable knowledge bases that cite the source of every answer, integrations that put an end to retyping, and management systems sized to your operation. The technology changes with the problem; the rule is that everything runs in production, with a real database and business rules.

What is the AI Opportunity Diagnostic?

A paid engagement of 2 to 3 weeks that analyzes your company’s processes and shows where AI increases revenue or cuts costs. You get a report with the prioritized opportunities, the KPIs to measure each one and the estimated return. The first step is a 40-minute call, which is free.

How much does a project cost?

It depends on the scope. There are three steps: the Diagnostic, the custom project and ongoing improvement. Pricing comes in a proposal, based on the estimated return for your business. We don’t sell hours.

Will AI replace my team?

No. ZexIA follows the Golden AI Ratio: about 60% of processes automated, 30% assisted by AI and 10% that stay human. Your team stops doing repetitive work, and the human touch your customers value stays human.

What kind of companies does ZexIA work with?

We have systems in production at law firms, clinics, retailers and a large education group. Our focus now is companies with high-volume sales: retail chains, dealerships and distributors, real estate agencies and developers, schools and online stores. We work with companies in Brazil and abroad.

How soon do the first results show up?

Quick wins usually go live in 2 to 4 weeks. A full project goes through a proof of concept (about 2 weeks), a first version in use (4 to 8 weeks) and production.

How is my company’s data handled?

Each client’s data is isolated, with access control in the database itself, encrypted keys and an audit trail wherever the operation requires it. No client data trains public models, and no demo on this site uses client data.

Does ZexIA build AI for medical diagnosis?

No. In healthcare, the systems handle operations: scheduling, confirmations, reminders and organizing test results before the appointment. Clinical decisions always belong to the doctor.

Today, 22:47

Someone is about tocontact your company.Who answers?

In 40 minutes, at no cost, we pinpoint where your company loses time, where revenue slips away and which technology opportunities should come first. If it makes sense to keep going, the next step is the AI Opportunity Diagnostic: a paid engagement of 2 to 3 weeks, with a report, metrics and an estimated return.