Kortical AI Agents

AI agents that do real work, reliably

Automate workflows, securely, accurately, and end-to-end, with Kortical’s AI agent framework.

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

“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:

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

Multi-agent graphs with memory - Not just prompt chaining

LLM + Expert Systems hybrid - Probabilistic flexibility with deterministic guardrails

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

Email → CRM + Next Action

Automatically extract details from inbound emails, update the CRM, and trigger the next step.

Benefits: Ensures compliance, improves data quality, and frees ~10% of team hours for revenue-generating work.

R&D Tax Compliance Pre-Qualification

Pre-qualifies projects, sets up meetings, and prepares dossiers for review.

Benefits: Faster processing and less wasted time for clients and advisors.

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.

Ready to automate real work?

Thank you!

A Kortical team member will be in touch shortly

Oops! Something went wrong while submitting the form.

FAQ

AI agents avoid hallucinations by only using information from your verified company data, not by guessing from general knowledge. When a customer asks a question, the agent retrieves the relevant answer from your knowledge base and uses that to respond.

We also build in guardrails: validation checks that keep the agent focused on its defined scope and prevent it from straying into topics it shouldn't. If the agent doesn't have enough information to answer confidently, it will say so rather than make something up.

Your data stays private and secure. We never use your data to train AI models, and you always retain full ownership. All data is protected with end-to-end encryption, both at rest and in transit.

Our systems are EU hosted, GDPR compliant and ISO27001 certified. For enterprise clients who need additional control, we can also deploy on Azure so you can use OpenAI on-premise.

Yes. Our AI agents automate as much as possible, but humans can interact and correct the outputs whenever the AI is unsure. Those corrections are then used to retrain the model, so the system learns and improves over time.

Before any updated model goes live, it goes through business-defined acceptability tests. This gives you fully automated, self-learning AI with full reproducibility and humans always in control.

A chatbot answers questions. An AI agent takes action.

Chatbots retrieve information and respond. AI agents go further by connecting to your backend systems, tools and databases to actually complete tasks. For example, when a customer asks about their order, a chatbot might give a generic response. An AI agent can access your order management system in real time, retrieve the exact status, update details if needed, and resolve the issue in one conversation.

Think of an AI agent as a digital worker that knows how to perform specific tasks and has the tools to execute them.