Operate

Build and Run AI-native Workflows

Workflows that operate across systems, autonomous agents, and human supervision.

Autonomous Execution

Workflows run continuously, triggering actions and decisions without human intervention.

End-to-End Flow

Tasks move across systems seamlessly, reducing handoffs, delays, and manual work.

Operational Scale

Increase throughput and reliability without adding people, overhead, or complexity.

How Operate works

An event automatically triggers the workflow

Rules and AI evaluate context

Actions execute across connected data and systems

State persists across workflow steps

Governance and audit logs apply

Core capabilities of operate

Event-Driven

Deterministic + AI Logic

System-to-System

Context Management

Failure Recovery

Operations don’t start with prompts, they start with events.

Triggers from emails, APIs, forms, documents, databases

Always-on workflows (not human-initiated)

Real-time and batch automation

Event-Driven

Deterministic + AI Logic

System-to-System

Context Management

Failure Recovery

Operations don’t start with prompts, they start with events.

Triggers from emails, APIs, forms, documents, databases

Always-on workflows (not human-initiated)

Real-time and batch automation

Event-Driven

Deterministic + AI Logic

System-to-System

Context Management

Failure Recovery

Operations don’t start with prompts, they start with events.

Triggers from emails, APIs, forms, documents, databases

Always-on workflows (not human-initiated)

Real-time and batch automation

The operate model

Operate is not

A chatbot triggering prompts and scripts

A linear automation with no context

A one-off automation demo

white clouds and blue sky during daytime

Operate is

Always-on, event-driven

Executes real work across systems

Governed, auditable, production-grade

From event to outcome

Examples of AI-native workflows executing decisions and actions across systems.

From event to outcome

Examples of AI-native workflows executing decisions and actions across systems.

From event to outcome

Examples of AI-native workflows executing decisions and actions across systems.

Inbound request handling

Inbound request received

Request is qualified

Work is routed automatically

Response is sent

Inbound request handling

Inbound request received

Request is qualified

Work is routed automatically

Response is sent

Inbound request handling

Inbound request received

Request is qualified

Work is routed automatically

Response is sent

Document processing & approval

Document is submitted

Data is extracted

Content is validated

Document is signed & filed

Document processing & approval

Document is submitted

Data is extracted

Content is validated

Document is signed & filed

Customer interaction follow-up

Call or email received

Intent is detected

Action is triggered

Follow-up is completed

Customer interaction follow-up

Call or email received

Intent is detected

Action is triggered

Follow-up is completed

Ready for Operational Autonomy?

Let’s discuss your operational bottlenecks and how AI can solve them in 30 days.

Ready for Operational Autonomy?

Let’s discuss your operational bottlenecks and how AI can solve them in 30 days.

Ready for Operational Autonomy?

Let’s discuss your operational bottlenecks and how AI can solve them in 30 days.

Book a Demo