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The Readiness Roadmap

See where you are. And where you could be.

Every business is somewhere on the same road — from paper and memory to AI-ready. Five questions, two minutes, no email required. You’ll leave knowing where you stand, what the next stage looks like — and that no stage on this road is a bad place to be standing.

Prefer to just talk it through?

Skip the quiz entirely if you like. Tell us how the business runs in your own words — that conversation is the assessment.

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Answer for how things really are — not for how the brochure says they should be. Nothing is recorded or sent anywhere; the result is calculated on this page, for you.

Paper & memory

Stage 1 of 6

Your business runs — orders go out, customers pay, people get paid — on paper, phone calls and the memory of a few experienced people. That’s not a failure; it’s proof the underlying business works. The risk is that the knowledge lives in heads and filing cabinets, and every growth spurt multiplies the paperwork.

Sensible next steps from here

  • Start by digitising the one document you handle most — usually quotes or invoices. One, not everything.
  • Get sales and expenses into a simple digital record so the numbers exist somewhere searchable.
  • Don’t buy a big system yet. A short readiness conversation will save you from buying the wrong thing first.

Digitised

Stage 2 of 6

Your information is digital — spreadsheets, documents, an accounting package like Pastel — but it lives in many places that don’t talk to each other. This is the most common starting point in South African business, and it’s a genuinely good one: your data exists. It’s just working against itself.

Sensible next steps from here

  • List where each kind of information lives (customers, prices, stock, staff). The duplicates you find are your to-do list.
  • Pick one “source of truth” for each — even if it’s still a spreadsheet for now.
  • This is the ideal stage for a Digitalisation Readiness Assessment: cheap to do now, expensive to skip.

Clean & accessible data

Stage 3 of 6

You’ve done the unglamorous work: customer lists deduplicated, pricing consistent, records findable by the people who need them. Most businesses skip this stage and pay for it later — you’re ahead of more of the market than you’d guess.

Sensible next steps from here

  • Protect what you’ve built: agree who owns each kind of record, so cleanliness survives busy months.
  • Start capturing data where work happens (deliveries, floor, field) instead of back-filling at day-end.
  • You’re ready to consolidate onto an operational foundation — a system that runs the whole business, not just the books.

Operational foundation

Stage 4 of 6

Your operation runs through one system: sales, stock, money and people in the same place, captured once at the source. Owners see the business live instead of at month-end. From here, the interesting options open up fast.

Sensible next steps from here

  • Hunt down what still lives outside the system — the last few side-spreadsheets are where errors hide.
  • Connect the tools around it (payments, banking, e-commerce) so data flows in without retyping.
  • Identify your three most repetitive admin processes. They’re your first automation candidates.

Automation

Stage 5 of 6

The system now works for you: documents generate themselves, reorder points trigger, reminders chase debtors, and your team’s hours have shifted from admin to judgment. This is the promise most businesses were sold at the start — you’ve actually built the thing it depends on.

Sensible next steps from here

  • Measure the hours each automation returns — that’s your business case for the next one.
  • Wire live data in from the physical world (vehicles, machines, sensors) to automate on reality, not on yesterday.
  • Start the AI-readiness conversation: with your foundation, it’s a short step, not a leap.

AI-ready

Stage 6 of 6

Your data is collected, clean, accessible and visible — the four things AI actually needs. You’re in the small minority of businesses where AI initiatives can pay off, because they have something true to stand on. The question is no longer “are we ready?” but “what’s worth doing first?”

Sensible next steps from here

  • Rank AI candidates by boring value: forecasting, exception-spotting, document handling — not novelty.
  • Pilot one, measure honestly, scale what works.
  • An AI-Readiness Sprint turns this from open-ended exploration into a ranked, costed plan.