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Nubia

Methodology

From how you work today to a business that runs itself, with no leaps of faith

Hyperautomation isn't a tool, it's a way of looking at your business: combining workflow automation, artificial intelligence and integrations around a complete process, not scattered tasks. This is the method we follow on every project, large or small, to get there without shooting in the dark.

Discover: we understand your process exactly as it is today

Before automating anything, we sit down with you and with whoever does the work every day. Without that, any automation is built on assumptions.

What we do in this phase

  • Interviews with the people who run the process, not just whoever leads it
  • Direct observation when needed: sometimes what's described and what actually happens are different things
  • A visual map of the complete flow, exceptions and edge cases included
  • A clear record of what we've understood, for you to validate before we go on

Prioritise: we decide what's worth automating first

Automating everything isn't efficient. We identify where the most time and money are lost, and cross-reference that with how easy or hard it is to solve.

What we do in this phase

  • Detection of duplication, rework, bottlenecks and avoidable manual tasks
  • Measurement of what it costs today: cycle time, cost per transaction, monthly volume
  • Assessment of technical feasibility (clear rules, available data, a stable process), economic feasibility (real saving vs. effort) and strategic feasibility (impact on your business and your clients)
  • A prioritised list: what we automate first and why, not a wish list

Design: we put in writing what we're going to build

Before touching a single tool, we agree with you what the solution does, what it doesn't do and how we'll know it works. No surprises mid-project.

What we do in this phase

  • Objective and scope in plain language: what problem we solve and what's left out
  • A design document with the complete flow, the chosen tools and the points where a person steps in
  • Deliverables split into blocks that make sense on their own, starting with the minimum that already adds value
  • Measurable objectives and agreed timelines before we start building

Build: we assemble it in short deliverables you can see

We combine whatever technology fits each case —workflow automation, AI that reads and decides, integrations with what you already use— and we show you real progress, not a PowerPoint.

What we do in this phase

  • Development in blocks of a few weeks, with something functional to review at each delivery
  • We choose technology by the problem, not the other way round: n8n or Make for flows, AI when there's something to interpret or decide, RPA only if there really is no other way
  • Testing with your real data, not an ideal lab case
  • Adjustments on the fly if something we agreed stops making sense

Deploy: we go to production without nasty surprises

Switching the automation on in your day-to-day is the moment that allows the least margin for error. That's why we do it with a checklist, not from memory.

What we do in this phase

  • Acceptance testing with you before the final sign-off
  • A deployment checklist: access, permissions, backups and a rollback plan
  • Clear documentation and training for your team so the automation is truly yours
  • Support during the first days of real use, watching that everything behaves as designed

Measure and improve: we check it really does save time and money

Automating isn't a project you close and forget. We measure what we agreed and keep adjusting, because your business changes and the automation has to keep up.

What we do in this phase

  • Tracking the metrics we defined at the start: time saved, errors avoided, real adoption by your team
  • Honest reports: if something isn't delivering the expected result, we tell you and adjust it
  • Spotting the next opportunity, with the same impact-versus-effort criterion
  • A living roadmap, not a finish line you reach and stop at

Why we work this way

This way of working comes from something simple: we've seen too many automation projects fail because they started with the tool instead of the process. Powerful software gets bought, wired to the first thing that seems useful, and months later nobody uses it because it didn't solve the real problem.

That's why we map the process before proposing anything, prioritise by impact rather than by how flashy a technology sounds, and measure after deploying instead of calling the project done on launch day. It isn't the fastest way to sell a project, but it's the one that keeps the automation working a year later.

If you want to see this method applied to concrete cases, take a look at our services or at how we think about business in About Nubia.

— Let's begin

Shall we apply this to your process?

Tell us which process eats the most of your time and we'll run it through the same phases: discovery, prioritisation and an honest proposal on where to start.

Tell me your case →See services