Situation
Situation
You manage multiple emergency departments and need to explain SLA, abandonment and cost variation every month.
For Physician-Nurse, Manager and ExecutiveIn production at 20+ Brazilian hospitals
The invisible chaos in your ED is costing you.
Visibility of the patient journey in near-real time, alerts before SLA breach and execution with Intelligent Agents.
Your emergency care at its best.
0–45%
less waiting time
0–60%
less abandonment
R$ 0.0M/year
savings (SC case)
0+
hospitals live
// see it in action
Live operations
// see it in action
Alerts before the breach, not after.
Real-time simulation of the patient journey: every step is monitored, the clock runs and the alert escalates to coordination before the SLA breaches.
AO VIVO·simulação · patient journey · real time
operações: 0
alerts fired before SLA breach
0
What changes for you
Choose your perspective
Problem
Problem
KPIs arrive late and without root cause. When you act, the problem has already changed.
Implication
Implication
Reactive action plans and capex wasted on the room that was not the real bottleneck.
Need, payoff
Need, payoff
Cockpit with near-real-time journey, agents solving the routine and prioritization of what moves the result.
Agents in your routine
Intelligent Agents act, humans in command.
Nous is UpFlux's operational AI. It prioritizes the day, executes the routine with Intelligent Agents and gives back the result in hard currency, with humans deciding where it matters.
SLA alertRisk escalationBottleneck diagnosisPatient journey
See the full agent catalog Nous cockpit · today
30–45%
less waiting time
live
SLA alert
42 actions
Risk escalation
28 actions
Bottleneck diagnosis
17 actions
Patient journey
11 actions
Integrations
Native where the process already runs.
Plugs into the ERP in production, reads the real process and writes actions back into the same system. Without replacing what already works.
TASYMVTOTVSSoul MV
Process Intelligence of the patient journey, from ticket to discharge, with root cause by team, room and shift.
Gartner + Everest PEAK Matrix, the only Latin American vendor listedR$ 780M+ in results generated
// frequently asked questions
Frequently asked questions
Direct answers for teams evaluating operational AI in enterprise settings.
How do you reduce waiting time in the emergency department?
UpFlux monitors every patient's journey in real time and fires alerts before the SLA breaches, in time for the coordination to act. The model learns from the operation: it flags bottlenecks by specialty, shift and risk classification, and prioritizes intervention where the impact on waiting time is largest.
What is a real-time patient journey?
It is the step-by-step tracking of the patient from triage to discharge, with every event (triage, first attendance, exam, reassessment) measured in minutes. UpFlux builds that journey from the hospital system data and exposes it in a live cockpit for the emergency department coordination.
How do you predict SLA breaches before they happen?
UpFlux calculates, for each patient in the emergency department, the probability of breaching the SLA of the risk classification based on the current behavior of the unit. When the risk crosses the threshold, the alert reaches the coordination with the next patient to attend, before it turns into abandonment or a contractual penalty.
Does AI for emergency care work in Brazilian hospitals?
Yes. UpFlux is in production in more than 20 Brazilian hospitals, natively integrated with TASY, MV and other hospital systems. The model is trained per unit and the result is measured in regulatory SLA and NPS, every minute of waiting saved is traceable in RoAI.
Your operation is leaving money on the table. Let's measure how much.
In 30 minutes we show how Nous connects your data, acts inside daily operations and proves the return in hard numbers.