Our Mission
Engineering better futures through agentic AI and machine learning.
We help organisations build, deploy, and control AI systems that amplify human expertise.
01
AI Agent
Design & Solution
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Agentic systems that amplify your teams' capabilities
02
Safe & Ethical
Agentic AI
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Robust security for sensitive data, full visibility of decisions
03
Agent Integration
& Optimisation
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Business environments where people and AI excel
04
AI
Strategy
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Transform AI investment into measurable impact.​
AI Strategy
Advance with AI+ML
There's a world of difference between understanding AI and knowing how to make it work in your organisation. We've been in your place, the decision-maker who had to:
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Justify the investment to the board
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Manage the implementation risks
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Ensure ROI is delivered as promised
Why Choose Us?
We've Sat In Your Chair
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Experience that spans both the boardroom and the workshop floor, a unique perspective on how to make AI transformation successful.
We understand the reality of constraints and opportunities you face.
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We Built Before We Consulted
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Insights come from more than a decade of training, but also:
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Delivering ML systems that saved firms over £100k annually
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Leading R&D projects for bluechip consultancy
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Managing technical teams across multiple continents​
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Results, Not Just Technology
AI is a means to an end - not the end itself. Success is about making that technology work for your business:
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Creating lasting competitive advantage
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Ensuring sustainable implementation
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Building internal capabilities​​
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Dr D George,
ChoiceMaster
“If you’re looking to deepen your understanding of AI Agents, Agentico is the go-to expert"
M Chambers
ThinkVideo​
"Where other vendors offered rigid solutions, Agentico listened, collaborated, and delivered exactly what we needed."
W Brindle
GoodThing
“The team were able to interpret our needs intelligently, so delivered a useful solution on the first draft”
AI Agents Suit Organisations Better Than Chatbots
"The real power of AI agents might be that they solve the organizational problem of how to integrate AI into existing workflows...
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They act much more like people that can independently execute tasks"
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Dr Ethan Mollick, Wharton School of Business, April 2024
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Explore New Markets
"The AI field is headed towards self contained autonomous agents and it won't be a single agent, it will be many agents working together"
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Andrej Karpathy, Co Founder OpenAI
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The most exciting impact of AI agents is the way they will democratize services that today are too expensive for most people"​
Bill Gates, November 2023
What are AI Agents?
Agent = LLM + Data + Tools + Environment
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AI developers create an agent by combining a service like ChatGPT (an LLM) with...
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1. Controlled Use of Data
The agent will need access to the data for the job; admin data, sales data, client conversations, meetings, etc
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2. Tools to Wield
AI Agents granted ability to search + analyse data, possibly using tools you already have in the business
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3. Access to an Environment
Agents integrate with ERP, CRM etc
AI Agents can then add value ...
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1. Engage with Users via Natural Language
Productivity increases as users engage naturally
Customers share more information with chatbots
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2. Reason & Self Reflect
AI Agents critique own efforts, learning over time, unburdening staff from the full weight of administrative tasks
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3. Offer Security & Privacy
The right to approve AI agent's work before using it, prevent access to sensitive data, control flows of data, keep data secure at rest and in transit
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Why Build
'Agents' from AI?
‘Agency’ is the ability to carry out tasks on our behalf. AI needs agency in order to deliver productivity gains to business.
You may be familiar with ChatGPT, which has no agency, or Microsoft CoPilot which can make recommendations in context. Whereas, true AI agents use language models, like GPT4 or Claude3, to fully automate tasks, such as market research or customer support.
Such agents commonly co-operate in teams, much as people do. We set them an objective which is broken down into a sequence of smaller tasks, each carried out by a AI agent with a specific skill set.
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Arranging AI into agents is called 'Agentic AI', hence our company name.
Teams of AI
& People
Arranging generative AI into teams of agents makes it understandable to people. The sequence of tasks is the same as for people, the AI's activities are logged for audit, it's proposals are subject to approval by a manager.
For example, we created the first team of AI agents to plan, write and test code in a notebook for data science. One agent writes and tests code, the other critiques progress against plans and standards.
The pair's discussion and code are recorded automatically. Their resulting solution is only implemented following approval by a person. This style of arrangement is now at the heart of Microsoft's Autodev code writer.
AI Agents In Systems
& Governance
