Rooted since 2007
Brazilian software factory. We understand process before writing code — and deliver what teams actually use day to day.
Software factory · Operational AI
Operational intelligence on what you already have
Adekz doesn't sell chatbots. We build operational intelligence on top of the data, channels, and documents your company already has.
- Scattered data becomes decisions: we unify information trapped in PDFs, spreadsheets, WhatsApp, ERP, and sensors.
- Your asset, no lock-in: you own the solution, architecture, integrations, and workflows.
- Natural evolution since 2007: we understand operations before writing code and deliver what teams actually use day to day.
AI Solutions
AI that delivers in operations
Service with ERP context, documents without manual queues, agents that execute, and copilots for your team — integrated with what you already run, with measured pilots and assets under your control.
Line A
Team Copilot
An assistant that knows your manuals, ERP, CRM, and contracts. Every answer cites its source; each profile sees only what they're allowed to.
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Line B
AI That Works
It doesn't stop at chat: it queries systems, triggers workflows, and requests human approval only where operations require it.
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Line C
Paperless Queue
Document reading and validation with human queue before posting — fiscal close and back-office without manual rework.
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Line D
Service That Knows
Customer asks on their preferred channel; operations respond with real ERP status, protocol, and SLA — humans step in when it matters.
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Line E
Brand at Scale
Marketing pieces, reports, and catalog generated on-brand with approval workflow — scale without losing control.
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Line F
See It First
AI reads images from line, field, and physical documents; flags deviation and blocks batch in ERP while there's still time to act.
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Line G
All Connected
Your systems start talking — stock, order, and finance flow without retyping. Foundation for reliable copilot, service, and reporting.
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Line H
Field That Warns
Telemetry reaches ERP and dashboard; predictive maintenance and KPI alerts same day — not only at month-end close.
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Line I
Start with a Plan
We prioritize use case, ROI, and risk before the big build. Pilot with metrics, LGPD, and operations designed from the start.
Learn moreSegments
Where AI actually lands
Networks, manufacturing, distribution, healthcare, and construction — we start from your sector's pain points and integrate ERP, documents, and channels at the pace of operations, not a generic chatbot.
Franchisors and networks
“Our WhatsApp became the network's system — and nobody measures SLA.”
How we help
Consultancies and professional services
“Client only sees value on the biweekly call — between calls, we disappear.”
How we help
Agribusiness and agro-industrial chain
“Sensor in the field, spreadsheet on the desk — and ERP stays in the dark.”
How we help
Manufacturing and logistics
“Close on the eve — and the invoice queue is still on the desk.”
How we help
Healthcare, education, and regulated sectors
“We need AI on documents and service — without exposing sensitive data.”
How we help
Distributors and B2B wholesale
“Rep asks stock on WhatsApp — and each one hears a different number.”
How we help
Construction, engineering, and projects
“Project blows budget in the field — leadership only sees it at month-end close.”
How we help
Delivery
How we start
From plan to proof of concept, pilot, and scale — each step with clear metrics and a decision to continue or stop.
Step 1
Start with a Plan
We understand process, data, and integrations before coding. You receive architecture, roadmap, and what to measure to decide.
Step 2
Prove with Real Data
We test the right hypothesis with accuracy and cost metrics — a decision to proceed or stop, not guesswork.
Step 3
First Module Live
Real users, minimum integration, exception queue, and post-go-live support — AI in the routine, not in the demo.
Step 4
Scale Safely
Wave rollout, monitoring, SLA, and documentation so your IT can operate and evolve with predictability.
Diagnosis
AI Plan
We map process, data, and integrations; you receive a roadmap, priorities, and success criteria — no code before clarity.
Validation
Measured Proof
One case, real data, accuracy and cost metrics — an objective report to proceed or stop.
Initial production
Live Pilot
First module in production, minimum integration, exception queue, and intensive post-go-live support.
Rollout
Scale with Control
Wave-based deployment, monitoring, SLA, and handoff so your team can operate the asset.
Post go-live
Continuous Evolution
On-demand squad: new workflows, connectors, model tuning, and fixes at the pace of operations.
Why Adekz
A partner to put it live
Nearly 20 years mapping real operations — now with integrated, governed AI that teams use every day.
Control at the right level
Human review where operations require it, LGPD and response trails when applicable, and documentation so your team can run in production.
Your asset, not a black box
Code, architecture, and integrations are yours — no generic platform lock-in.
Connected to what you already have
AI on top of existing ERP, documents, WhatsApp, and sensors — not a parallel system nobody adopts.
Prove before you scale
Pilot with metrics, cost, and a clear decision — investment grows with evidence, not slides.
Production partner
We don't disappear after go-live: ongoing support, continuous evolution, and handoff to your IT when it makes sense.
Ready to talk?
Tell us about your operation — we'll help you find the right starting point.