Most consultancies sell you a capability. We start from your competitive position and work backwards to whatever change is actually required — which is sometimes a platform, often a process, and occasionally nothing more than a decision nobody has been willing to take.
DigiNom delivers across four capabilities. They are listed separately because they are bought separately, but they are rarely delivered in isolation. An operating model redesign that ignores the ERP underneath it will not survive contact with month-end. A cloud migration that ignores how the finance team actually works will be technically complete and operationally useless.
The four capabilities
Strategy, operating models and commercial performance that compound. Where the margin is leaking, where the operating model has stopped matching the business, and what procurement is quietly costing you. Read more →
Programmes, platforms and architecture that hold under pressure. Delivery and recovery, legacy and ERP modernisation, cloud architecture, and security built into the pipeline rather than bolted on at the end. Read more →
Operating models, data and experience built for how you actually work. Process digitisation, data architecture, and the unglamorous plumbing that every personalisation strategy eventually runs into. Read more →
Applied where it earns its place — governed, secure, and never sold as the headline. Readiness, use-case identification, governance, and controls assurance. Read more →
Why they are not sold as four separate things
The failure pattern we see most often in the mid-market is not a bad decision. It is a good decision taken in the wrong layer. A business problem gets handed to a technology team, who solve it with a platform. A technology problem gets handed to a change team, who solve it with training. Both are delivered on time. Neither moves the number.
The question is not which capability you need. It is which layer the problem actually lives in — and that is usually not the layer it was reported from.
So every engagement starts the same way regardless of which door you came through: we establish what is costing you time, money or competitive position, and we work out which layer it belongs to before anyone specifies a solution.
Where AI sits
Inside all four, not alongside them. We do not run an AI practice that sells AI, because that arrangement guarantees the answer before the question. AI and automation show up in a procurement review as spend analysis, in a DevSecOps programme as augmented security pipelines, and in a digital operating model as embedded automation — in each case because it was the right tool, and with the readiness, governance and controls work that makes it safe.
When it is not the right tool, we say so. That is a commercially inconvenient position and we hold it anyway, because the alternative is charging you to answer a question you never asked.
How engagements usually start
Most begin with a short discovery call rather than a proposal. It is deliberately small: enough to establish the baseline, identify where the advantage actually is, and give you a defensible view of what should happen next — including the option that nothing should.
From there, engagements scale to what the problem needs. We are senior-led by design: the people who scope the work are the people who deliver it.
Not sure which layer your problem lives in? That is usually the most useful thing a first conversation establishes.