AI-powered workflow automation

Your processes.
Running themselves.

ChainOps deploys AI agents that learn how your business actually works — then run your workflows 24/7, adapt when things change, and surface the exceptions before they become problems.

40% of enterprise apps will include AI agents by 2026
$65B BPA market by 2034
24/7 Autonomous operation, zero babysitting
How a workflow moves through ChainOps
Trigger Event fires
Process AI analyzes context
Decide Branch logic, AI routing
Act Executes, logs, alerts

Every step: traced, adaptive, and running while you sleep.

Not just automation.
Intelligence in the chain.

Triggers that fire on reality, not rules

Watch for real business events — not just timestamps or form submissions. A deal stalling, an invoice overdue, a spike in support volume. ChainOps detects signals your IFTTT rules miss.

AI decisions at every branch point

Route by context, not just conditions. ChainOps reasons about what it's seeing and picks the right path — escalating exceptions, looping in humans, or pushing through to completion.

Autonomous operation, 24/7

Agents run in the background, all the time. They surface insights in your dashboard, flag anomalies, and keep your processes alive without anyone watching the screen.

Learns how your business runs

Other tools automate what you tell them. ChainOps observes patterns, adapts when upstream systems change, and gets smarter about your specific context — not generic workflows.

Built for operators who are done watching their processes break

01

No visual builders. No BPMN diagrams.

Describe your process in plain language. ChainOps interprets it, connects to your stack, and deploys working agents. No drag-and-drop required.

02

Autonomous by default

Agents run on their own. They watch for signals, make decisions, execute actions, and report back. You see what's happening — not the step-by-step.

03

Survives real-world complexity

When an upstream API changes or a data format shifts, ChainOps adapts — or flags the exception for human review. No silent failures. No workflow that breaks three months later.

Why now

AI agents crossed from "experimental" to "production-ready" in 2025. Teams already deploying are seeing 30–50% reductions in process cycle time.

40% of enterprise applications will include task-specific AI agents by 2026. Companies still evaluating are already behind.

The gap is no longer whether automation is possible — it's whether your automation survives contact with how your business actually operates. That's where ChainOps wins.

The chain is only as strong
as the intelligence running it.

Most businesses automate their bottlenecks and call it done. ChainOps is for teams that want processes that think, adapt, and run without being watched — building a competitive moat in the stuff that used to just be "how we do things."