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Kortical AI Agents

AI agents that do real work, reliably

We deliver enterprise AI agents that work. From predictive analytics to tax automation, customer support to process automation. Built, deployed, and supported end to end with our patented agentic AI platform.

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Trusted by teams in retail, recruitment, automotive and financial services.

Chat interface of Kortical AI assistant showing a conversation with user messages: 'Hello There! Can you help me with some of my problems?' and 'Tell me about everything you can do'. Kortical AI replies: 'Hi, I am here to answer questions about Kortical AI, how can I help you?'

“Kortical has automated over 5,000 hours with an ROI of over 600%—a huge productivity boost.”

— Jon Campbell, Reed

What you get with Kortical’s AI Agents

Agents that actually do the work

They don’t just suggest; they plan, verify, act and log

Speed
to value

Start with our AI agents framework and go live in weeks, not months.

Fewer
mistakes

Better memory for long context tasks and built-in checks to reduce errors.

Human
review

If not confident will pass to a human and learn for next time.

Enterprise-ready

GDPR compliant, ISO 27001 certified, with role-based access and audit trails.

Outcomes that matter

80% role automation in financial services

5,000 hours saved in recruitment

Typical ROI > 600% across targeted workflows

Why Kortical AI Agents work

Successful AI Agents require the ability to perform many chained actions to accomplish a goal. GPT-5 averaged 8.22 tool calls for successful tasks on an Agentic AI benchmark, Kortical AI Agents successfully manages hundreds of chained tool calls in production. Here’s how:

1

Intent reduction architecture - Less guessing = exponentially fewer errors over long tasks

3

Multi-agent graphs with memory - Not just prompt chaining

2

LLM + Expert Systems hybrid - Probabilistic flexibility with deterministic guardrails

4

Process verification at each node - Catch drift before it compounds

Building AI Agents That Actually Work in Production

The Kortical Difference

MIT reported 95% of GenAI pilots show no measurable bottom-line impact, only 5% reached production. All of our AI Agent pilots have reached production. If building AI Agents were simple or easy everyone would do it well:

Typical Approach

❌ Direct LLM chaining → Compound error after 8.22 steps
❌ Prompt engineering → Unreliable for complex workflows
❌ OpenAI’s AI Agent SDK → “the performance of AI agents on real-world tasks, … is not yet highly reliable for automating tasks”
❌ Hallucinations → GPT-5 with web browsing hallucinates 11.6% of replies

Kortical Solution

✅ Multi-agent graphs with verification nodes
✅ Expert systems constraining LLM outputs
✅ Kortical AI Agent Framework: 2M+ messages in production, zero brand incidents
✅ RAG + Guardrails + Human in The Loop: Less error but if unsure the AI Agent asks for help
”AI is not one size fits all the best teams make exceptionally better AI.”
Kortical won the Schroders Datathon competing against teams from Google and other tech giants to create the best retention AI.

Examples of AI Agents at work

Works with your stack

Connect quickly to the tools you already use: Outlook, Gmail, leading CRMs, ERPs, and data warehouses like Snowflake.

If it has an API, we can likely talk to it.

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Ready to learn more?

Contact us to see a demo and explore the quickest path to production.

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