Orchestrate AI agents to automate workflows, decisions and operations.
CITSmart Hyper Agents combines AI models, documents, APIs and corporate systems to execute complex workflows autonomously or with human assistance, with end-to-end governance.
Multi-LLM no AI model lock-in
24×7 agents running in the background
100% traceability of every action
How Hyper Agents works
Five steps from context to traceable action.
Agents don't just answer questions. They receive context, make decisions, trigger systems and log every step of the executed process.
01
Receives context
The agent reads documents, knowledge bases, system data and the flow's objective.
02
Analyzes and decides
Interprets the context, applies the defined rules and determines which action to execute.
03
Triggers systems
Calls APIs, accesses databases, generates files or triggers external corporate systems.
04
Executes the flow
Completes the process steps, autonomously or awaiting human validation when necessary.
05
Logs and learns
Every action is logged with context, criteria and outcome, feeding the next cycle.
Product capabilities
Six features to create agents that truly act.
Custom agents
Create agents with a defined persona, context, role, objective and behavior for each area or process.
Multi-LLM, no lock-in
Use different AI models depending on the task, context, organizational policy and technology strategy.
RAG and semantic search
Connect documents, knowledge bases and corporate data for more accurate, contextualized answers.
Agent Chaining
Chain agents in sequence to solve complex flows with coordinated steps and accumulated results.
Integration with systems and APIs
Trigger external systems, messaging, events, files and automations directly from the agents' flows.
Operational governance
Define autonomy levels, controls, logs and oversight to operate AI safely in corporate environments.
Use cases
Create custom agents for many areas.
A complete platform to power your everyday use of AI: a tailor-made agent for every team in the organization.
Sales
Lead qualification and automatic proposals.
Legal
Contract and risk analysis in seconds.
Support
Real-time diagnostics and reduced MTTR.
Operations
Hyperautomation of complex workflows.
Finance
Assisted audits and automatic insights.
Technology
Copilots and automations for technical productivity.
Marketing
Automated content and personalized campaigns.
Back office
Automated administrative routines and less rework.
The age of agents has arrived
AI agents have moved from pilots into operations.
Companies deploying AI agents now gain real operational advantage, processing more, with smaller teams and greater consistency every cycle.
72%
of companies plan to scale AI agents in 2026
Source · Gartner 40%
reduction in time spent on manual tasks with agents
Source · McKinsey 3×
more tasks processed with the same team
Source · Forrester 85%
of IT leaders prioritize autonomous agents in 2026
Source · IDCNative to CITSmart X²
at the heart of the platformAgents are born already connected to ITSM, ESM, Contracts and other CITSmart products: no middleware, no custom integration, no parallel project.
End-to-end governance and audit
ready for regulated sectorsAutonomy limits, human approval for sensitive actions and a complete trail of every decision: governance built for the public sector and regulated industries.
Central IT expertise
a partner, not a vendorMore than two decades in mission-critical operations, with teams, support and SLA based in Brazil. It's not just the tool. It's someone who operates alongside you.
From pilot to production
from experiment to operationAssisted deployment and follow-up to take agents out of the experimental stage and get them running with predictability and measured results.
Frequently asked questions
Common questions about Hyper Agents.
Is Hyper Agents different from Autonomous AI?
Hyper Agents is the engine for creating, configuring and orchestrating agents: the platform. Autonomous AI is a specific solution that uses these agents for security and infrastructure operations. Hyper Agents can be used for any area or process.
Do I need to know how to code to create agents?
Not for most cases. The platform offers an agent configuration interface based on intent, context and available tools. For advanced integrations, developers can use the API.
How do we make sure the agent won't act outside its scope?
Each agent is configured with specific tools it has access to. Actions outside that scope simply aren't available to the agent. Sensitive actions may require human approval before execution.
How does agent chaining work?
Agent Chaining lets one agent's output become the next agent's input, forming a processing pipeline. Each agent in the chain has its own specialization, and the final result combines everyone's contributions.
Next step
Your processes, automated by AI agents.
Show us a process you want to automate and we'll show you how an agent can run it, with context, decisions and traceability.
Talk to a specialist