AI to execute. Data to decide. Engineering to scale.
We design AI agents, automations and integrations that connect customer service, systems, data and teams — cutting operational work and producing measurable results.
An intelligent operation, end to end
+50.000
conversations handled by AI agents
in production since December 2025
85%
resolved with no human intervention
~1 min
average first response time
100%
of conversations started by the AI
Real operations. Measurable results — validated on the platform, not on a slide.
Via Médica Case →A real healthcare operation — Via Médica, a diagnostic clinic in Maracanaú · CE — with roughly 9,000 monthly conversations run by AI: bookings, reschedules, exam quotes, prep instructions and schedule confirmations.
Plenty of companies have a demo. We have an operation — measured and reported every month.
See the full case287
Conversations today
88%
Resolved by AI
49s
First response
Operation dashboard · real numbers from the Via Médica Case
The industry doesn't matter. What matters is how much of your operation still depends on someone remembering, copying, checking and notifying.
…your team
Recognized your operation in two or more items? Then the diagnostic will pay for itself.
Customer service, documents, billing, calendar, contracts, CRM, messaging, internal processes and data don't work in isolation.
Our engineering connects those parts so the operation works as a single system — what happens at one end becomes data, decision and action at the other.
Once the system goes into production, one of the most important parts of the work begins.
Volume, resolution, errors, time — the operation in production is measured every day, not estimated in a meeting.
Conversations, exceptions, bottlenecks and behaviors. That's where the problems no one asked us to look for show up.
What the data reveals becomes a concrete adjustment the next month. Today's system is the worst it will ever be.
Automation executes. Data shows. OxeFlow interprets and improves.
Systems in production, measured every month — not proofs of concept.
“Our operation is complex, with several specialties, schedules and particulars. The off-the-shelf solutions we knew were rigid and forced the operation to adapt to the tool. With OxeFlow it was the opposite: the solution was built for our reality. Today we have more clarity about what happens in the operation, we spot opportunities for improvement and we make decisions with information we simply didn't have before.”
Milena Rosado
Managing Partner · Via Médica
A dashboard shows what happened. Operational intelligence helps you understand why it happened, what deserves attention — and what to do next.
Questions the reports answer
The client doesn't just get numbers.
They get context, analysis and next steps.
01 · What happened
8,959conversations
1,760bookings
49sAI first response
88.8%no human intervention
02 · What changed
A follow-up engine went live mid-month: 41 patients recovered in the first two weeks — conversations that used to die in silence.
03 · What we found
Part of the exam reschedules come from poorly understood prep instructions — a cost that was invisible in the daily routine.
04 · What we recommend
Automatic prep reinforcement the day before each exam → implemented the following month
Real monthly reading format · public numbers from the Via Médica Case
Real discoveries from the operations
Healthcare · Exams
Analyzing the conversations, we saw that part of the exam reschedules came from poorly understood prep instructions. The agent started sending the prep at booking time — and reinforcing it the day before.
Calendar · Occupancy
Active day-before confirmation, run by the AI, turns silence into a response — and every slot confirmed or freed in time is revenue the front desk alone would have no way to capture.
835reminder confirmations in a single month
Data quality
An automated audit found records with an incorrect or missing phone number — profiles that would make active customers look nonexistent to the agents. Automation doesn't just execute: it reveals problems.
Capacity · Distribution
How cases are distributed across people and boards shows where the operation is concentrated — and lets you redistribute work before the bottleneck turns into a delay for the client.
The customer talks naturally. The operation queries data, executes actions, records events and measures results — without the conversation feeling like a machine.
Front desk · AI agent
in operation
Good evening! I need an abdominal ultrasound, do you have any openings this week?
Good evening! We do 😊 For a full abdominal ultrasound I have Thursday at 7:40 AM or Friday at 8:20 AM. Does either of those work for you?
Thursday 7:40. Does it need any prep?
Thursday at 7:40 it is! And yes: an 8-hour fast before the exam. I'll send you the full instructions right here, all in writing.
Can it be under my mother's name? She's the one having it done
Of course! Could you confirm her full name for me, please?
Maria ●●●●● ●●●●●
All set ✓ Full abdominal ultrasound — Thursday, 7:40 AM, for Maria. The day before, I'll send the reminder with the prep instructions. If you have any questions, just reach out!
Illustrative conversation based on the operation's real flows. Personal data is never exposed.
WhatsApp, Instagram Direct, Facebook Messenger, email and webchat in a single inbox, with CRM and Kanban — the omnichannel platform we operate and build your automations on.
Explore OxeChatWe start by understanding how the operation really works: where the work stalls, where information gets lost, where people repeat tasks.
Only then do we decide what needs an AI agent, automation, integration or analysis. Deployment isn't the end of the project — it's the start of the improvement cycle.
Understand → Connect → Automate → Measure → Improve
01Diagnostic
We understand how the work really happens — not how it should look on paper.
02Architecture
We define the ideal architecture on top of what you already use — no tool swap, no big bang.
03Deployment
We build and connect the operation progressively, with validation, control and a human fallback.
04Observability
We measure what the agents and automations actually do — errors are caught before they become problems.
05Continuous evolution
Deployment isn't the end of the project. It's the start of the improvement cycle — guided by the operation's own data.
The methodology isn't niche: understand, connect, automate, measure and improve works in very different operations.
Retail · Self-service
Service and operations integrated on WhatsApp: questions answered around the clock, automatic notifications and the store running with no one at the counter.
Internal · Finance
An internal agent that looks up information, answers the team's operational questions and supports billing and reconciliation — finance asks, the system answers.
The next one
The methodology is the same in any industry: understand the operation, connect the parts, automate what makes sense and measure everything.
The thing to remember: we turn fragmented operations into systems. The stack behind it is open, runs in production and is documented for anyone who wants to look under the hood.
Explore the architecture and stackIntelligence
OpenAI · Google Gemini · Anthropic Claude
Orchestration
n8n
Data
PostgreSQL · Redis
Infrastructure
Docker
Customer service
OxeChat · WhatsApp Business Platform · Meta
Integrations
APIs and webhooks · Trello · ZapSign · Wise · Google Drive and Sheets · Proprietary systems
Smaller projects usually have their first flows in production within a few weeks. More complex operations are deployed in stages, starting with the highest-impact areas — you see results before the whole project is finished. In the diagnostic, we define a realistic timeline for your operation, with progressive deliveries.
A deployment project + a monthly operation subscription that covers monitoring, continuous evolution and infrastructure. The diagnostic sizes the investment to the scale of your operation.
Yes. We integrate via API, database or interface automation. Switching tools is the exception, not a prerequisite — we design the solution on top of what you already use.
Data travels through Meta's official API, on dedicated infrastructure, with least-privilege access and full data protection compliance. Our privacy and data deletion policies are public.
That's where our work really begins: continuous monitoring, monthly metrics and constant evolution. The operation generates data, and the data generates the next improvement.
No. It absorbs the repetitive work so the team can focus on what needs a person. Complex cases are handed off to humans by design — with full conversation context.
A 30-minute conversation. You explain how the operation works today; we point out where manual effort costs the most — and what engineering solves first.
30 minutes to understand your operation, your bottlenecks and where there's a real opportunity for gains. No generic sales pitch.