Entry point

AI workflow automation for the enterprise

AI workflow automation uses AI agents to carry work across your systems end to end — from a plain-English request to a governed, finished outcome — instead of brittle rules or one-off scripts.

How it works

Connect, ground, orchestrate, execute

Enterprise workflow automation software usually breaks at the edges between tools. NeurosEdge automates the whole path on one platform.

CONNECT

Connect your systems

First-class connectors for ServiceNow, Jira, Slack, GitHub, databases, and a generic REST connector.

GROUND

Ground in your knowledge

Agents read your runbooks, policies, and live system state — so actions reflect your reality, cited.

ORCHESTRATE

Orchestrate agents

Specialist agents plan the steps, coordinate as a swarm, and route each task to the right model.

EXECUTE

Execute, governed

Carry the work to a finished outcome across your stack — every outward action gated and audited.

In plain English

Say what you want automated

>_ Open a Jira ticket for every failed nightly job and assign by service owner.
>_ Resolve this ServiceNow incident: gather logs, propose a fix, and post it to Slack for approval.
>_ Rotate AWS access keys older than 90 days, then notify the on-call channel.
In practice

Workflow automation on an AI operating system

NeurosEdge runs this on one governed system built on Integrative Intelligence — so automation stays grounded, approved, and auditable rather than a brittle script you have to maintain.

See the enterprise AI platform Read the model AI agents for business

Automate a workflow on your own systems

Tell us one workflow your team does manually today and we'll show AI workflow automation running on it — governed and audited.