Secure AI Agent · MSP

AI applied to your MSP operation

A specialist configured to triage tickets by each client's contract tier, trigger escalation before the SLA breaches, keep environments documented, and notify ahead of the maintenance window.

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Companies that trust UPX

  • Bradesco
  • Nubank
  • BTG Pactual
  • Totvs
  • Ascenty
  • Live!
  • G4 Educação
  • EVEO

Capabilities

What the MSP Agent can do

Main areas of work for the MSP and IT Services AI Agent in your operation.

Contract-tier triage

Classifies each ticket by the service level of the client who opened it.

SLA alerting

Flags tickets approaching their deadline, before the breach.

Escalation matrix

Triggers the next tier according to the rule defined per contract.

Environment documentation

Keeps each client's inventory and topology findable.

Maintenance window

Prepares the client notice and the checklist ahead of each patch.

Per-client report

Consolidates volume, response time, and open items with the data source.

Skills

Capabilities that compose the specialist

Skills add specific capabilities to the Secure AI Agent according to the processes it needs to execute.

SLA classification
Checks the ticket against the contract's service level.
Deadline anticipation
Projects the due time and warns before it arrives.
Environment recording
Keeps client documentation current and queryable.
How it works

From ticket to window, with the technical team in control

Connect your service desk, define what the agent can do, and let the triage happen within your contract limits.

01

Connect the service desk
The agent works where the tickets already arrive.Connect the ticketing tool, the documentation base, and the team channels so the Secure AI Agent has access only to what it needs to follow the contracts.

02

Declare the contract tiers
Each client's SLA becomes the agent's rule.Record each client's service level and the escalation matrix. The agent then triages and alerts according to that contract, not a generic default.

03

The agent alerts. The team acts.
No maintenance runs on its own.The agent triages, anticipates, and documents within the defined permissions. Applying patches, running maintenance, and closing tickets stay with the technical team.

Integrations

Connected to your service desk tools

The MSP Agent can query your tickets and run tasks in the systems your team already uses.

Flow

What goes in, what the agent does, and what comes out

From the raw queue to anticipated risk, following your contract rules and permissions.

Inputs

  • Ticket queueAPI
  • Contract tiersDOC
  • Client inventoryCSV

Processing

Secure AI Agent

Processing the task

  • Read
  • Triage
  • Projectrunning
  • Escalate
Skill appliedRules verified

Output

Completed

Queue organized

  • Tickets triaged by contract
  • SLA risk anticipated
  • Maintenance window prepared

Control

You define how far the Agent can act

Different actions can operate with different autonomy levels, always within your contract rules.

  1. 1

    Query

    Reads tickets and documentation and answers with the reference.

  2. 2

    Prepare

    Triages the queue and drafts the window notice.

  3. 3

    Request review

    Waits for validation from the technical team.

  4. 4

    Execute

    Performs the action within the defined limits.

Levels are configured per type of action, according to each contract's policy. Applying patches, running maintenance, closing tickets, and announcing downtime to clients always stay under human approval.

Get started

Put a Secure AI Agent to work.

Start on the platform or choose the plan that fits the pace of your operation.

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Security and compliance

Security that can be verified.

Certifications and attestations

  • SOC 2 Type II
  • ISO 27001

UPX maintains SOC 2 Type II and ISO 27001, with independent audit over its information security controls.

Privacy and regulation

LGPD
Operations follow Brazil's Law 13.709/2018. In AI Agent contracts, UPX acts as data processor; the legal basis remains with your company.
Zero Data Retention
A product policy, not a certification: all market AI models used by the Agents have ZDR under contract, and processed content is not retained after execution.
Retention and deletion
The retention policy is defined by contract. Once the contract ends, data is deleted within the agreed period.

Frequently asked questions

Common questions about the MSP Agent

What IT providers usually ask before putting an agent to support the operation.

  • Does the agent close tickets on its own?

    Not by default. It triages, classifies by contract, and flags SLA risk. Executing the fix and closing the ticket stay with the technical team.
  • How does it know each client's SLA?

    Each contract's service level is configured in the agent. Triage and alerting use that parameter, so two identical tickets from different clients get the treatment their contracts specify.
  • Does the alert come before or after the breach?

    Before. The agent projects the deadline and warns while the clock is still running — logging the breach afterwards does not help meet the contract.
  • Does it patch the environments?

    No. It prepares the window: builds the checklist and the client notice. Applying patches and running maintenance stay with the team, which decides the timing and owns the change.
  • Is client data used to train models?

    No. Content processed by Secure AI Agents is not used to train UPX models or third-party models.
  • Can we audit what the agent did?

    Yes. Every action is logged: what was queried, what was proposed, when, in which system, and under which permission. The history stays available for review and auditing.
  • How long does it take to go live?

    It depends on the systems involved. The starting point is connecting the service desk and declaring the contract tiers, then expanding to documentation and windows.

Custom agents

We build and manage the agent for your MSP

From contract-tier triage to the maintenance window: we build the agent that sustains your clients' SLA.