AI-first digital transformation
Rethink processes, systems and customer journeys with AI in the plan from day one – strategy, modernisation, data and change management in one programme, with one accountable partner. Every initiative starts from a business outcome and success criteria agreed up front.
Transformation now starts with what AI can take on
Digitising old processes is no longer enough. The questions are which work AI should do, which systems must change to allow it and how your people will work with it. We assemble the right capabilities from across our services to answer them.
of digital initiatives meet or exceed their business outcome targets, on average, in a Gartner survey of 3,186 CIOs and technology executives.
Source: Gartner, October 2024
- BeforeDigitise the paper processNowRedesign the process around people and AI
- BeforeMulti-year programmesNowReleases every few months, each with a measurable result
- BeforeNew systems nobody usesNowAdoption planned, measured and supported
Off-the-shelf, low-code or custom: how should you choose?
Use bought software for what is standard and build where it sets you apart.
| Option | Best for | Watch out for |
|---|---|---|
| Off-the-shelf SaaS | Standard processes such as HR, accounting and basic CRM | You adapt to the tool, and costs grow with users |
| Low-code platform | Internal apps and simple workflows | Limits on complex logic and scale, and lock-in |
| Custom software | Processes that set you apart, complex integrations and AI built in | A higher first cost and a partner to maintain it |
| Hybrid | SaaS for the standard, custom for what differentiates | Integrations need careful design |
What this solution covers
This solution combines capabilities from 8 of our services with what is specific to this challenge. Use it whole, or start with one capability.
Change management & adoption
Training, communication and adoption tracking, so new systems and AI tools are used – not just launched.
From across our services
Each capability is run by the team that owns it and explained in full on its own service page.
How a typical project runs
- 01
Align
Value case, readiness and a roadmap agreed with leadership.
- 02
Prove
A first working system, usually within 2–4 months.
- 03
Scale
Modernise systems and data in phases, so value arrives early.
- 04
Embed
Training, adoption tracking and an operating model your teams own.
Selected client work
“I’m so happy with how everything turned out, and I can’t wait to do more to enhance our application. Communication was amazing – they sent daily updates, which was really appreciated.”
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Read the articleFrequently asked questions
Where should a digital transformation start?
With the processes that cost the most time or risk today. We map them, decide where AI and automation fit, consolidate data and replace spreadsheets with one system, then expand.
How is AI changing digital transformation?
Instead of only digitising existing steps, transformation now asks which work AI agents can take on, which systems need APIs so they can, and how people review and approve AI work. That changes the order of the roadmap.
How long does a transformation programme take?
Most programmes deliver a first working system in 2–4 months, then expand in phases so the business sees value early.
Can you work across several business units?
Yes. For Empire Industries, a 125-year-old diversified company, we centralised asset and inventory management across divisions into one platform.