Manchester skyline — our UK base

About Agentico

Who We Are

AI with Humans in Mind

In AI since 2015, building agents since 2023.

Meet the team

The team

Who delivers the work

Oliver Morris

Founder & Director of AI

Agentico's founder. A board-level career across finance, analytics, product development, and R&D consulting. Previously Director of Finance and Analytics for a £35m turnover engineering business, Director of Product Development for a £6m consultancy serving cloud data and analytics to insurers and banks, and AI/ML consultant for Capgemini Engineering's R&D team, Hybrid Intelligence. Working with statistical learning systems since 1997 and modern ML since 2015. Based in the UK, serving clients globally.

  • 10 years in AI/ML, including 30+ certifications
  • Previously Consultant with Capgemini Engineering's R&D team, advising blue-chips on AI
  • >2 years building agents — in from the start
  • 14 years board-level experience
  • Microsoft Certified Programmer
  • Affiliate ACCA

Offshore Development Team

Development & Data Engineering Partners

Dedicated specialists in Singapore & South East Asia; Data scientists, data engineers, and AWS architects — extending Agentico's delivery capacity across time zones. This partnership gives us continuous progress on client projects and access to deep technical expertise in data infrastructure and cloud architecture.

Guiding principle

AI with Humans in Mind

The right AI empowers teams, it does not replace them. Return on investment comes from two directions: Pain relief

  • Erasing the repetitive grind, automating the manual tasks that consume your team's time. Gain creation
  • launching new value streams, surfacing insights previously invisible, grasping opportunities that go unnoticed when everyone is buried in administration.

That sounds straightforward, but it requires honest attention to the ways AI can also increase work. As we describe in our public thesis, the risks are well documented.

That is why our four-step process and our approach to context infrastructure are designed not just to deploy technology, but to ensure the people around it can thrive.

The technology succeeds when it removes a business obstacle AND supports human expertise.

Burnout from abundance

Cheap cognition creates expensive management. As generation becomes abundant, review becomes the constraint.

Vigilance decay

When output is continuous and fluent, reviewers habituate. They scan rather than read, approve rather than judge.

Relational thinning

More agent collaboration and less human-to-human coordination measurably raises workplace loneliness.

Workslop compounds

One person's productivity gain becomes another's rework overhead — low-quality AI output quietly taxes the team.

Two ways forward

We meet you where you are

Pattern A

Solve a Tactical Challenge

You have a specific pain — repetitive grind consuming your team, a value stream waiting to be launched, insights locked in data no one has time to extract. We scope a focused engagement, build a working agent or agent team, and deliver measurable results within weeks.

Tight scope. Fast feedback. Results you can point to.

Pattern B

Reshape the Whole Game

You want to embed AI across the business — realise efficiencies, scale intelligence, and build the organisational capability to keep improving. We take you through the full four-step process, from discovery through adoption, building context infrastructure and learning loops that create lasting advantage.

Both paths follow the same method. The difference is scope, not standards.

Ready to put AI to work without losing the humans in the middle?

Start with a tactical win or reshape the whole game. Either path follows the same method.