Situation
Situation
Your area already runs AI in production, likely across more than one vendor, and more agents arrive every quarter.
For CIO, CTO, Head of AI/CoE and COO
Your company already has AI agents running. But who guarantees they do the right thing, and how much they give back?
UpFlux applies process intelligence to the agents themselves (agent mining): it traces every decision, enforces scope and rules, and proves the return in hard currency with RoAI.
Your AI agent governance at its best.
0%
of companies carry agent risk*
0%
have mature governance*
R$ 0M+
results generated by UpFlux
0%
auditable ROI in hard currency
// see it in action
Live operations
// see it in action
Every agent decision, audited. Out of scope, blocked.
Real-time simulation of agent mining over every agent (in-house and third-party): decision, scope, conflict and cost, on a single audit trail.
AO VIVO·simulação · agent mining, all agents
operações: 0
AI actions audited
0
out-of-scope blocked: 0
What changes for you
Choose your perspective
Problem
Problem
Agents drift from the designed path, access data they should not and execute actions that conflict with each other. Nobody can say how much each one gives back.
Implication
Implication
Growing operational risk and no defensible number to justify the AI investment to the board.
Need, payoff
Need, payoff
A single cockpit governs every agent (in-house and third-party), triggers human-in-the-loop when needed and exposes impact on time, accuracy and compliance.
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.
Agent MiningDecision trailCross-agent conflict detectionCost per agent (LLM)Scope & rulesRoAI
See the full agent catalog Nous cockpit · today
80%
of companies carry agent risk*
live
Agent Mining
42 actions
Decision trail
28 actions
Cross-agent conflict detection
17 actions
Cost per agent (LLM)
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.
MCPOpenAIAzure AISAP JouleSalesforceServiceNow
Process Intelligence applied to agents, real path vs. designed path, conflicting actions, LLM cost per decision and impact on KPIs.
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.
What is agent mining?
Agent mining is the application of process intelligence to AI agents themselves: UpFlux traces the real path of each agent (in-house or third-party like SAP Joule, Salesforce, ServiceNow), compares it against expected behavior, exposes conflicts between agents and measures LLM cost per decision.
How do you audit AI agent decisions?
UpFlux logs every action of every agent step by step, who called it, with what data, under which rule, with what result, and exposes the full trail in RoAI. When the agent errs, the team understands the cause; when it succeeds, the CFO knows exactly how much it gave back.
How do you calculate ROI of AI agents?
UpFlux's RoAI measures, in hard currency, the return of each AI action and each agent, attributing the result to the human, the agent or the combination. It is the CoE cockpit: why to invest more in this agent, why to turn that one off, how much LLM cost went into each decision.
How do you govern multiple agents from different vendors?
UpFlux applies agent mining across in-house and third-party agents. The governance layer surfaces scope, rules and conflicts in a single place, regardless of whether the agent comes from SAP, Salesforce, ServiceNow, OpenAI or an in-house provider, and cost and return are directly comparable 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.