For Analyst, CS/CSC Manager and CX/COO Director

Your customer warns before canceling, in tickets, SLA and recurrence. Is your operation listening?

Nous analyzes everything happening in your service management, connects SLA, recurrence and sentiment per customer, and acts proactively: before churn, not after.

Your customer service at its best.

0%
of tickets analyzed
Proactive
churn risk before renewal
0%
of follow-up done by agents
0–40%
faster resolution
// see it in action

Live operations

What changes for you

Choose your perspective

Situation

Situation

You answer for SLA, NPS and retention, but your dashboards show ticket volume, not risk per customer.

Problem

Problem

Recurrence, SLA violations and negative sentiment accumulate in silence. Churn shows up as a surprise at renewal.

Implication

Implication

Permanent firefighting, strategic customers lost without warning and retention target riding on heroism.

Need, payoff

Need, payoff

Health score per account, proactive alerts with an action plan and systemic root cause: when the same problem affects 12 customers, you catch it on the first, not the twelfth.

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.

Churn sentinelSystemic pattern detectorHealth score per accountTicket prioritizerSmart routerSLA agent
See the full agent catalog
Nous cockpit · today
100%
of tickets analyzed
live
Churn sentinel
42 actions
Systemic pattern detector
28 actions
Health score per account
17 actions
Ticket prioritizer
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.

ServiceNowSalesforceSAPTOTVS

Process Intelligence of the service flow, from ticket to resolution, with root cause by type, area and SLA.

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 predict churn from support tickets?

UpFlux computes a health score per customer combining volume and severity of tickets, resolution time, reopens and product signals. Customers with a declining health score are prioritized for intervention before churn, the customer service operation stops running by queue and starts running by risk.

What is AI-driven service management?

AI-driven service management is a customer service and success operation guided by process intelligence and agents: tickets are prioritized by customer and business impact, agents move the routine forward, and the manager decides where human time pays off. UpFlux runs it connected to Zendesk, ServiceNow or Salesforce.

How do you calculate customer health score?

UpFlux's health score combines real operational signals: ticket frequency, time to resolution, reopened tickets, product usage and renewal behavior. The model is trained per customer segment and the output is traceable, every drop in score is explained by the event that caused it.

How do you reduce average handling time in customer service?

UpFlux maps the real process of each ticket, exposes where time is lost (queue, rework, handoff, dependency) and prioritizes cases worth intervening on. Agents automate repetitive steps and the operation cuts AHT without cutting quality, with the gain measured in hard currency 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.