Technology architecture for businesses

We design how systems, data, automations and processes should connect, so technology stops growing as loose parts and starts behaving like an architecture.

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Software is rarely what is missing. Architecture is

No company decides one morning to have a messy technology stack. You get there one tool at a time, each solving its own problem well and none designed alongside the others. These are the signs.

The ERP and the CRM do not talk, and someone reconciles the two by hand.
Critical processes running through a spreadsheet that acts as middleware.
Point-to-point integrations: every new tool adds connections, not capabilities.
Duplicate tools solving the same thing in two departments.
Data spread across several systems, with no agreement on which one wins.
Legacy software nobody touches because nobody knows what breaks if they do.
Automations built one at a time, with no shared criteria and no maintenance.
Every new tool comes in, and none ever leaves.
Processes that depend on one specific person being available.
An appetite for AI, and no safe place to start.

What we mean by technology architecture

Not a pretty diagram, and not a hundred-page document. Four layers that have to hold each other up, plus the decisions that keep them coherent when the business changes.

Systems

ERP, CRM, POS, e-commerce, vertical software and the internal applications nobody documented. What each one actually does, which is redundant, and which quietly holds up the operation.

Integrations

APIs, webhooks, events and middleware. Where a real-time connection is needed, where a periodic sync is enough, and where an integration would only add one more piece to maintain.

Data

Where each piece of data lives, which system is the source of truth for each entity —customer, order, invoice— and how it moves between applications without three versions of the same number appearing.

Automation and AI

Which processes deserve automating and which should be fixed first, and where a model contributes something a rule cannot. AI rests on the three layers above; without them it amplifies the mess.

Pillar

The method: three steps

Three steps, one team: we understand what you have, define what should change, and build it. You can start at any of the three, but this order is the one that avoids building on assumptions.

The questions an architecture has to leave answered

If any of these has gone months without a clear answer, the problem is not the tools.

Do we replace the ERP or integrate it with everything else?

Which system should be the source of truth for each piece of data?

Which applications can we retire without breaking anything?

Where do we need an API, and where is that over-engineering?

Which processes are worth automating, and in what order?

Which legacy system has to be modernised first?

Where does AI make sense, and where does it not yet?

What do we build custom and what do we buy off the shelf?

Architecture and integration

Architecture decides how the ecosystem should work: what governs what, what gets connected and what gets retired. Integration is the work of building those connections —ERP, CRM, POS, e-commerce, WhatsApp— and running them in production. One without the other produces either a plan nobody executes, or connections nobody can explain.

See systems integration →

Architecture and automation

An automation built on an undefined architecture inherits every ambiguity underneath it: two systems claiming the same field, a process nobody owns, a rule that only one person understands. Deciding the architecture first is what makes the automation cheap to build and safe to change later.

See AI automation →

Proof

What this looks like in production

Real projects, linked to the live site where the client allows it.

Technology audit · Hospitality

Digital X-Ray — Hotel chain (Menorca)

Real case study: hotel technology audit in Menorca — 47 applications inventoried, 23% reducible SaaS spend, and a digitalization roadmap for a 4-property chain.

47Applications inventoried

Read the full case → SaaS / CRM Integration