AI agents that run your business
Three levels of automation: personal assistants, specialist agents and fully autonomous processes. All connected to your systems and monitored by the HUB, 24/7.

Processes that run on their own, end to end. Agents that read data, make decisions and execute within your systems.
Every execution connected to your systems, monitored by the HUB, with real-time cost control and compliance.
AI assistants for everyday work

Your team powered by AI every day. Answering emails, summarizing documents, generating reports. Individual productivity without changing the routine.
Copilot by function
Each area gets an assistant trained on the business context. Finance, legal, sales, HR. Precise answers, not generic ones.
Integration with existing tools
Operates within email, Slack, Teams and the systems your team already uses. No platform switch, no learning curve.
Results from week one
Repetitive tasks eliminated immediately. Your team gains hours per day to focus on what truly matters.
AI agents that execute end to end

Autonomous agents connected to enterprise systems. They analyze data, make decisions and take action for multiple teams — non-stop and without constant oversight.
Native connection to your systems
Direct integration with SAP, Salesforce, ERPs, databases and REST APIs. The agent accesses what it needs, when it needs it.
Context-aware decisions
Agents that cross-reference data from multiple sources to make informed decisions. They don't follow fixed rules — they understand context.
Continuous operation
Running 24/7 without constant supervision. They process queues, respond to demands and alert your team when something deviates from the norm.
Orchestration of entire agent teams

Multiple agents working together with governance, monitoring and scale. Entire processes running end to end, without human intervention.
Multi-agent workflows
Specialized agents collaborate on complex processes. One extracts data, another analyzes, another executes. Intelligent end-to-end pipeline.
Governance per execution
Every action of every agent is logged. Cost per execution, response time, accuracy rate. Full visibility in the HUB.
Scale without risk
Add agents and processes without losing control. Compliance policies, cost limits and configurable alerts per workflow.
Agents in production, real results
12K+
agent executions per day
86x
faster than manual processes
-70%
operational cost in customer service
Automation in practice
Automatic resolution of up to 70% of interactions. Complex cases are routed to the team with full conversation context.

Automation in practice

Frequently asked questions about OORT Flows
Three levels of automation with artificial intelligence: personal assistants (copilots by function), specialist agents (execute processes end to end) and multi-agent orchestration (entire teams of agents collaborating). All connected to your systems and monitored by the HUB with cost control, compliance and traceability. The platform processes over 12,000 agent executions per day.
The assistant (copilot) helps your team with everyday tasks — answering emails, summarizing documents, generating reports. The autonomous agent goes further: it analyzes data, makes decisions and takes action within your systems without constant supervision, operating 24/7. According to Forrester (2025), autonomous agents reduce operational costs by up to 70% in repetitive processes.
The first personal assistant can be running within the first week. Specialist agents take 2 to 4 weeks to configure, test and validate in production. More complex multi-agent orchestrations take 4 to 8 weeks. Document processing, for example, drops from 43 minutes to 30 seconds per document after implementation.
Every action of every agent is logged in the HUB: cost per execution, response time, accuracy rate and decisions made. Compliance policies, cost limits and alerts are configurable per workflow. You can add agents and processes without losing control — scale with full traceability.
No. Agents eliminate repetitive tasks and free your team for strategic work. In customer service, for example, the agent automatically resolves 70% of simple interactions and routes complex cases to the human team with full conversation context. The result is a leaner team that is more efficient and focused on high-impact decisions.




