A session on how to govern and scale processes with an Automation Center, connecting automations, AI agents, and business operations.
In this webinar, Andres Felipe Echavarria showed how an Automation Center works in practice, where AI agents and production automations coexist, and how this model helps operate, govern, and scale in an orderly way, avoiding the chaos of isolated initiatives and bringing automation into business operations.
Presented by
CEO of Quantum Developers
The recording will be available soon.
Many companies already have useful scripts, integrations, or bots, but they are scattered. The problem appears when no one can clearly answer which automation is running, with what data, who authorized it, what evidence it left, and how its impact is measured.
The center is presented as an operating layer to organize automations and agents. It brings together catalog, executions, status, owners, credentials, traceability, and results so the business can manage automation as a continuous operation.
AI agents are useful when they can interpret context, consult tools, and execute defined steps. The session emphasizes that they need limits, permissions, controlled memory, evidence of their decisions, and human escalation mechanisms.
Every execution should leave operating records: inputs, decisions, tools called, affected business objects, times, errors, and results. This information makes it possible to audit, improve, and prove real impact.
To scale, prioritize processes with clear impact, define exception rules, centralize credentials, document owners, and monitor results. The goal is to move from people-dependent automations to a governed system.
The session closes with recommendations to identify the first use case, prepare minimum data and rules, and connect the process to an operating model where humans, automations, and agents collaborate with traceability.
Detailed summary: the session introduced the move from point automations to an operating model managed through an Automation Center. It explained how to integrate AI agents, automated workflows, traceability, business objects, and metrics so companies can scale without losing control.