Enterprise AI, from strategy through to production

Phase 01

AI Strategy & Readiness

For when you need clarity before you commit.

Some clients come to us with a clear use case and a board mandate. Others come with “we know we should be doing something with AI but we don’t know what.” Both are valid starting points. The output is a plan you can take to your board: scoped, costed, and honest about the work to come.

What we do

• Scope the opportunity

  Map the use case against business outcomes and pressure-test the technology choices before any commitment.

• Assess readiness

  Where your data sits, what governance you need, and the build-vs-buy answer for your context.

• Identify and prioritise

  Which use cases warrant investment now, which are second-wave, and which to leave on the shelf.

• Advise independently

  Technical advice for teams stuck mid-pilot or unsure where to start.

Our approach

• Workshops with your team, not pitch decks at them
• Specific use cases mapped to specific business outcomes
• Honest about what your organisation can absorb and at what pace

Phase 02

AI Design, Build & Deploy

Where bespoke meets production-grade.

This is where most of our work lives, and what most clients hire us to do. We design and build AI systems for production: working with sensitive data, integrating into legacy systems, and meeting governance requirements your CISO can sign off on.

What we do

• Scope before we build

  A short discovery engagement that defines outcomes, integration boundaries, and the governance bar before any code is written.

• Prove in your environment

  Not a slide deck. The proof of concept runs on your data, in your systems, and under your governance from day one.

• Scale to production

  Engineering rigour and security posture built in from day one, not retrofitted at deployment.

• Integrate specialists

  Domain experts and hardware specialists brought in when the project needs them, not as standing overhead.

Our approach

• Bring information out of legacy systems without ripping them out
• Design for the regulatory environment your organisation actually operates in
• Deploy to production: not pilot environments, not slideware, the system running where it needs to run
• Built on your stack, not locked to ours: data, governance, and infrastructure costs stay in your control

See how Mott MacDonald deployed across 20,000+ staff →

Phase 03

AI Enablement & Support

What you build with us, your team owns.

AI systems aren’t “deploy and forget.” Models drift, contexts shift, and the question of who runs the system long-term determines whether your investment compounds or decays. So we design every engagement around your team running what we build together.

What we do

• Transfer

  Documentation, training, and shadowing so your team owns what we built.

• Uplift

  Foundations that compound. Tools, patterns, and practices your team builds on as the work grows.

• Support

  Available for the long term on the strategic questions, not the day-to-day.

• Adapt

  Ongoing engagement, periodic check-ins, or self-sufficiency with the right tools. The partnership fits the shape your team needs.

Our approach

• Knowledge stays with you, not us
• Out of your way on the day-to-day, in the room for the strategic questions
• Available when the next question lands: where to expand, how to govern, when to invest more