Cortex
Create, configure, and orchestrate collaborative AI agents, with a visual workflow builder, real-time monitoring, and human-in-the-loop controls.
Cortex runs in production. It handles concurrent agent execution, stateful orchestration, external channel integration, and real-time observability. It is not a demo.
How Cortex works
From business problem to automated result, four steps
Define
Describe your workflow
You describe the task in plain language, no code, no technical spec. What needs to happen, in what order, under what conditions.
Design
Build it visually
Drag and drop agents, tools, and decision points onto a canvas. Connect them into a workflow. See the logic before it runs.
Run
Agents work automatically
Cortex executes the workflow autonomously. Agents use web search, data analysis, and external systems to complete tasks, 24/7, without a human in the loop.
Monitor
Watch everything live
Every decision, message, and action is logged in real time. You see exactly what each agent did, when, and why. Full audit trail.
What businesses use Cortex for
Three examples of how Cortex replaces manual, repetitive, multi-step work.
Research & Reporting
Problem
A team spends 6 hours a week manually gathering market data, summarising it, and writing a briefing document.
With Cortex
A Cortex agent searches sources, synthesises findings, and delivers a formatted briefing, automatically, on schedule.
Customer Support Escalation
Problem
Support tickets arrive in bulk. A human reads each one, categorises it, and routes it to the right team.
With Cortex
A Cortex agent reads, classifies, and routes tickets automatically, escalating only the exceptions to a human reviewer.
Data Analysis & Alerts
Problem
A team monitors dashboards manually and writes weekly summaries of key metrics and anomalies.
With Cortex
A Cortex agent monitors the data continuously, flags anomalies immediately, and generates the summary, without being asked.
WHAT THIS MEANS FOR YOU
When AI ING designs an agentic AI system for a client, we're not speculating about how such systems behave in production.
We've built one, run it, and debugged it. The hard-earned details, where things typically break, how to design for it, what real observability looks like, inform every client engagement we take on.
"We're not consultants who talk about building. We're builders who also consult."