Business · Technology · Digital Transformation
DigiNom is a niche transformation and advisory consultancy. We use AI as an enabler — never the headline — to help ambitious organisations stay ahead of their competitors.
Why DigiNom
We focus on Business, Technology and Digital Transformation — not broad IT outsourcing, and not an AI shop.
Every engagement starts with where you need to win, not a technology agenda — then works back to what must change.
Practitioners with 25+ years running large-scale transformation across 24 countries, at board level.
Applied only where it earns its place, with readiness, governance and security built in from day one.
A Cyprus centre of excellence, nearshore specialists and a UK and European partner network, scaling as you need.
Repeatable methods and consistent quality standards, held inside ongoing relationships rather than one-off projects.
Common Challenges
Most businesses we meet are dealing with at least one of these.
Is procurement quietly costing you margin you can’t see?
Is your technology helping you grow, or getting in the way?
Would your security posture survive a real audit, not a checklist?
Would your technology stand up to due diligence tomorrow?
Is ageing technology and architecture quietly setting your pace?
How much of your team’s time goes to work a system should be doing?
Our Services
Business, Technology and Digital Transformation move together — with AI and automation applied throughout, governed properly rather than sold as a separate headline. The same senior-led discipline, sized to where you are — from first hire to global footprint.
Strategy, operating models and commercial performance that compound.
Read more →Programmes, platforms and architecture that hold under pressure.
Read more →Operating models, data and experience built for how you actually work.
Read more →Applied where it earns its place — governed, secure, and never sold as the headline.
Read more →AI Enablement
AI-driven spend and commercial analysis inside procurement and cost reviews.
AI-augmented security pipelines behind our DevSecOps delivery.
AI-powered automation built into digital operating models and data platforms.
Before We Recommend AI
Understand the challenge
What’s actually costing you time, money or competitive position.
Test whether AI is the lever
Not every problem needs AI. We say so when it doesn’t.
Apply it with governance
Readiness, governance, data & privacy, security and controls assurance, built in from day one.
Financial services · Payments · Private equity and VC · Retail and consumer · Gaming
Latest Thinking
A running note of what we’re seeing across our sectors — updated as we publish.
September 2026 Operations & Technology
Release frequency is treated as an engineering preference. It is the rate at which a business can respond to anything, and the gap between the best…
Read more: How Often You Can Safely Change Things Is a Business Number
September 2026 Legacy & Modernisation
ERP programmes overrun so predictably that the overrun is the base case, not the risk case. Three decisions taken before implementation starts determine the outcome, and…
Read more: Why the ERP Replacement Ate Two Years
September 2026 Legacy & Modernisation
Modernisation business cases price the replacement and ignore the process debt wrapped around the old system. Which is why the average ERP programme overruns by more…
Read more: Your Legacy System Is Not the Problem. Your Dependency on It Is.
September 2026 Customer & Digital Experience
Automation amplifies whatever you give it. Digitising a process nobody has examined industrialises the flaws, and the sequencing that avoids it costs less than the software.
Read more: Process Digitisation Without Process Design Is Just Faster Mess
September 2026 Customer & Digital Experience
Manual workarounds are invisible on the profit and loss account and enormous in aggregate. Finding and costing them is the step most automation programmes skip —…
Read more: How Much of Your Team’s Time Goes to Work a System Should Be Doing?
September 2026 Data & Governance
Every mid-market business has a meeting where two numbers for the same thing appear on the same slide. The reconciliation is not a reporting problem, and…
Read more: When Two Reports Disagree, Somebody Has to Decide Which Is Wrong
September 2026 Operating Model & Cost
Ask a mid-market board what it costs to serve their largest customer and the answer is usually a confident guess. Which makes every pricing, retention and…
Read more: Cost to Serve Is the Number Most Mid-Caps Cannot Produce
August 2026 Operating Model & Cost
Lift-and-shift moved the server bill to the cloud without lowering it. Embedding AI into an unchanged operating model does the same thing, only faster — and…
Read more: Is AI Token Consumption the New FinOps Time Bomb?
August 2026 Strategy & Competitiveness
Most AI programmes fail long before the technology does — at the point where nobody wrote down the business problem. Five questions to ask before the…
Read more: AI is the answer. Sorry — what was the question?
August 2026 Regulation & Ethics
With UK sector regulators embedding AI requirements into existing frameworks and the EU AI Act creating cross-border obligations, compliance is no longer a post-deployment concern —…
Read more: Navigating the Regulatory Maze: How UK Mid-Cap Businesses Can Avoid the AI Compliance Trap
August 2026 Data & Governance
Gartner predicts 60% of AI projects will fail by 2026 due to unreliable data. For mid-cap businesses where data governance is often ad hoc, this is…
Read more: The Data Time Bomb: Why Poor Data Foundations Are Quietly Destroying UK Mid-Market AI Investments
August 2026 Operations & Technology
Building an AI prototype is easy. Moving it into production — and keeping it there — is where most mid-market businesses stall, often expensively.
Read more: Stuck in Pilot Purgatory: Why UK Mid-Cap Businesses Can’t Scale AI Beyond the Proof of ConceptWe can help you uncover where transformation moves the needle fastest, and whether AI belongs in the answer.
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