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Risk and compliance

Your compliance up to date, with every decision explained

Agents verify customer records, analyze alerts and prepare audit evidence. Your analysts decide the risky cases, with the context ready.

For decision-makers: Heads of risk, compliance, anti-money laundering and audit

Find where to start →

Processes the operation takes on

Agents handle the volume. People on your team, or Semantix specialists, decide the exceptions.

  • Customer onboarding and verification

    Agents
    Check documents and watchlists and score the customer’s risk.
    People decide
    Approval of high-risk customers.
    You measure
    Onboarding time
  • Transaction alert analysis

    Agents
    Discard false positives and build the file for suspicious cases.
    People decide
    Decision to report to the regulator.
    You measure
    Alerts handled on time
  • Audit evidence

    Agents
    Gather records, approvals and reports for each control.
    People decide
    Final validation of controls.
    You measure
    Audit preparation time
  • New regulations

    Agents
    Track regulators’ publications and flag what changes in the processes.
    People decide
    Updating internal policies.
    You measure
    Regulations implemented on time

One case from start to finish

Illustrative example

The case: An unusual transaction alert fires on a business account

  1. Agents execute

    They discard known patterns, gather the history and build the case file.

  2. The specialist decides

    The analyst confirms the suspicion and decides to report it to the regulator.

  3. Result

    Case handled on time, with the whole analysis recorded.

  4. The operation learns

    The confirmed signals strengthen the rule for future alerts.

Systems usually involved

  • Core banking systems
  • Watchlists
  • Anti-money laundering
  • ERP
  • GRC tools

The connection builds on the systems you already have, including the oldest ones.

Governance in your area

The regulator’s rules at every step

Central Bank, LGPD and industry rules applied during execution, with a record of each step.

Three ways to use it

The same technology, the way your company prefers

You choose who operates. The platform, the governance and the learning context are the same.

  1. 01

    For those who want the result without building a team

    Semantix runs it for you

    Our agents and specialists run the process end to end, with the result in the contract. This is how we run our clients’ IT and business processes.

    How to engage
  2. 02

    For a project in a specific area

    Semantix builds it, your team follows along

    We run the assessment, choose with you the processes worth turning into agents and put the operation into production in your company.

    How we choose the first process
  3. 03

    For those who want autonomy

    Your team builds on the platform

    Your team creates its own workflows in the Semantix AI Suite Studio, in your company’s environment, with the platform’s governance and Semantix’s support.

    Two ways to build

Not sure what a term means? That’s fine

Nobody should have to speak technology to understand a transformation.

Enterprise AI Company
A company that brings AI into the operations of large enterprises: it delivers the platform, builds with the client’s team or runs the processes with AI agents and specialists.
Hybrid workforce
AI agents handle the volume; specialists decide the exceptions and the risky cases.
Operation that learns
Every human decision becomes knowledge, so the next similar case is faster and cheaper.
Outcome-based contract
You pay for what is delivered and measured, such as tickets resolved or cost per transaction.
Context
Your company’s knowledge (data, processes, rules and decisions) that lets AI act safely.
AI
Computers able to perform tasks that would normally require human intelligence.
Agent
An AI system that can carry out tasks using tools.
Workflow
The path a piece of work travels inside a company.
API
A way of letting systems talk to each other.
Cloud
Computing and storage reached over the internet.
Data Platform
An environment that organizes and serves the company’s data.
Agentic AI
AI that can understand goals and carry out tasks within defined limits.
AI Harness
The structure that supplies the context, tools, rules and controls an agent needs to act safely.