Digital transformation is a phrase that means something and has been used so badly that it now mainly signals an expensive proposal. Which is a shame, because underneath it is a genuinely useful idea: technology work has an order, and doing it out of order wastes money.
Here is the sequence, without the language.
Stage 1: the foundations are reliable
Nothing else matters until this is true. Email works. Files are where people expect them. Backups exist and have been restored from. Devices are current and secure. People can work from anywhere without a workaround.
It is not exciting and it is where most of the value is, because a business at this stage has stopped losing hours to things not working.
You are here if: people complain about IT, files go missing, somebody has a laptop that takes four minutes to start or you cannot say when a backup was last tested.
What to do: the ordinary work — tenancy configured properly, backups tested, devices replaced on a cycle, access secured.
Stage 2: information lives in one place
Once things work, the next constraint is that nobody can find anything and the same information exists in four versions.
You are here if: the answer to a customer question depends on who is asked, quotes are in a folder and jobs are in a spreadsheet and invoices are in the accounting system with nothing linking them, or a new starter takes three months to become useful.
What to do: decide where each kind of information lives and move it there. Files in one structure. Customers in one system. One source of truth per subject, written down as a list.
Stage 3: systems talk to each other
Now the constraint is that a person is the integration. Somebody reads something in one system and types it into another, forty times a week.
You are here if: you can name the person who retypes things, reports require exporting from three places or the same customer detail has to be updated in four systems when it changes.
What to do: connect the systems. Start with the connection that removes the most retyping, which is usually between whatever holds customers and whatever holds money.
Stage 4: the routine runs itself
With reliable foundations, information in one place and systems connected, automation becomes straightforward rather than fragile.
You are here if: processes are well understood and consistent, and the remaining effort is people executing clear rules — chasing, filing, notifying, reporting.
What to do: the method in where to start with automation. One process at a time, each finished properly before the next.
Stage 5: decisions use the data
The stage everybody wants to start at. It only works when the four below it are done, because it depends entirely on data being accurate, complete and current.
You are here if: your systems hold reliable data and you are still making decisions on instinct because nobody has the time to pull it together.
What to do: automated reporting, exception alerts, and — only now — the AI work that needs good data underneath it.
Every business that has tried to start at stage five has ended up back at stage one, having paid for both.
Why projects fail
Three reasons, and they are all about sequence.
Starting too high. Buying analytics for data nobody trusts, or AI licences pointed at a file estate with six versions of everything.
Doing everything at once. A programme with nine workstreams in a business of twenty people. Nothing finishes, everybody is tired, and the conclusion is that transformation does not work here.
Installing technology without changing the process. The most expensive failure. A new system running the old process badly costs more than the old system running it adequately.
How to work out where you are
Ask five questions. The first one you answer honestly with a no is your stage.
- Does everything work reliably, and do you know your last tested restore?
- Is there one place for each kind of information, and does everybody use it?
- Do your systems share information without a person retyping it?
- Do your routine processes run without somebody remembering?
- Do you make decisions from data you trust?
What it actually looks like
Not a programme. Two to three years of steady work, one thing at a time, each finished before the next starts. A page listing what is next rather than a strategy document.
Businesses that work this way get further in eighteen months than businesses that launch a transformation programme, and they spend less doing it.
If you would like an honest assessment of which stage your business is at, our IT consultancy team will walk it with you and give you the page rather than the document. Get in touch.
