Architecture
Each agent is a specialist with a name, judgment, and specific responsibilities. Together, they form a real operational layer within your company.
The Principle
Each agent knows what they need to achieve, what tools they can use, and what lines they must never cross. When their work is done, they log the result in the database, and the next agent takes over. No meetings. No manual coordination. No friction.
Humans don’t disappear—they focus. Instead of managing day-to-day operations, they only intervene at the points where their judgment changes the outcome: approving a strategy, validating a proposal, making a decision with real consequences. Everything else, the system handles on its own.
This is what we call autonomous orchestration with human-in-the-loop. A system that reasons, acts, and learns—and knows exactly when to stop and ask.
The system from the inside
Four points of contact with the real world. Four core components. Four layers that support it.
Events that trigger the system
Decision maker
when it matters
Event broker · crons · queue management
State machine · execution order
HITL approval · escalation gates
Tools · APIs available to agents
Identity · model · scope · constraints
RAG · vectors · KV declarative
Pub/sub · point-to-point
Global configuration + case injection
Reasoning audit per execution
Persistent memory across executions
APIs · channels and
data sources
Results produced by the system
The layers
Each component has a unique responsibility. None does the work of another.
The four components that define the system’s identity: who the agents are (Agent registry), what they know (Knowledge base), how they communicate (Messaging bus), and the context in which they operate at any given moment (Context assembly).
The Task scheduler decides when each agent acts—via events, cron jobs, or queues. The Pipeline orchestrator controls the execution order and the status of each step. Together, they ensure that nothing runs out of order.
The Decision layer manages human approval points and escalations. The Connector layer exposes the tools and APIs that agents can use—without direct access to the outside.
Persistent memory across executions. An agent acting today knows what happened yesterday. The system doesn’t start from scratch in every cycle—it accumulates context and improves over time.
Every decision made by every agent is recorded. It’s not a technical log—it’s auditable reasoning. You know what it decided, why, and based on what information.
Human-in-the-loop
Instead of managing day-to-day operations, they only intervene at points where their judgment changes the outcome. Everything else, the system handles on its own.
The system knows exactly when to stop and ask. It doesn’t guess—it scales.
Customer inactive for 45 days · high-value history · proposal prepared
24 lines · target margin met · probability of closing: high
The offer exceeds the authorized discount threshold. Approval is required.
Decision recorded · offer sent · agent continues the workflow
Automatic follow-up · alert if no response within 48 hours
Design principles
Each agent has a name, a role, and a limit. It doesn’t do everything—it does its part better than anyone else.
It doesn’t generate text for someone else to process. It acts directly on systems—and leaves a trail of what it did.
The system doesn’t start from scratch every time. It accumulates context, learns from previous executions, and improves over time.
Humans approve what matters, when it matters. No dashboards to monitor. No processes to coordinate.
The system works with what you already have—ERP, CRM, internal tools. It doesn’t replace anything. It connects everything.
Every decision made is recorded and can be explained. Not a black box—a system you can trust.
The next step
In a 30-minute demo, we’ll show you the system in action using real-world examples from your industry.
