AI and modernisation consulting

Strategy that ends in running software.

Overview

Whether you're starting from a blank page or working with systems that have run the business for fifteen years, the idea is rarely the hard part. The hard part is getting from the idea to something reliable in production without breaking what already works.

We help you choose where to start, design the path, and see it through.

01

When to call us

  • You have an AI mandate but no clear first use case.
  • A proof of concept worked on clean data, then stalled on real data.
  • A core system is expensive to change, hard to scale, or out of support.
  • You need an architecture your security, risk and compliance teams will sign off.
  • Several vendors have given you several answers, and you want an independent view.
02

What we do

  • AI opportunity assessment

    We find the workflows where AI removes real effort, then rank them by value, feasibility and risk. You get a shortlist you can act on, not a list of everything AI could do.

  • Generative and agentic AI architecture

    Model selection, retrieval, tool use and MCP integration, evaluation, guardrails, human-in-the-loop design and cost controls. We design for the model you'll use in two years as well as the one you use today.

  • Greenfield design

    New platforms and products designed for scale, multi-tenancy, security and change, with decisions written down so future teams know why.

  • Brownfield modernisation

    Incremental migration away from monoliths, event-driven integration, and cloud migration without a big-bang cut-over. The business keeps running while the system changes underneath it.

  • Implementation consulting

    We stay through the build, alongside your engineers or ours, so the design survives delivery and the trade-offs get made by people who understand them.

  • Governance that fits

    Responsible AI, data protection and auditability patterns sized for your regulatory context, without burying the team in process.

03

What you get

  • A prioritised roadmap tied to measurable outcomes
  • Target architecture, decision records and guardrails
  • A working prototype or first production slice, not just slides
  • A delivery plan your team can own
04

Typical engagement

Typical engagement
Discovery sprint, then a forward deployed or delivery engagement
Commercials
Fixed price discovery, then fixed price or time and materials

Practices and technology

  • Generative AI
  • Agentic AI
  • RAG
  • MCP
  • Evaluation
  • Guardrails
  • Cloud migration
  • Event-driven
  • Microservices
  • Multi-tenancy

Have a problem worth solving properly?

Tell us what you're working on. We'll reply within two business days with honest thoughts on whether, and how, we can help.