AutomateThis! | Systems Engineering for Growth Operations

Important notice (EN): One of our systems appears to have been abused by a third party to send spam messages. The reported messages were in French and did not originate from our team. We are investigating the source and working on a fix. We apologize for the incident.

Wichtiger Hinweis (DE): Unsere Systeme wurden offenbar von Dritten missbraucht, um Spam-Nachrichten zu versenden. Die gemeldeten Nachrichten waren französischsprachig und kamen nicht von unserem Team. Wir untersuchen den Auslöser und arbeiten an der Behebung. Wir entschuldigen uns für den Vorfall.

Information importante (FR) : L’un de nos systèmes semble avoir été utilisé abusivement par un tiers pour envoyer des messages indésirables. Les messages signalés étaient en français et ne provenaient pas de notre équipe. Nous enquêtons actuellement sur l’origine du problème et travaillons à sa résolution. Nous vous présentons nos excuses pour cet incident.

How we turn messy stacks into operational systems

We work with companies whose growth is being slowed down by a fragmented stack: website, tracking, CRM, forms, automation, data, and AI that don’t quite work together.

Best fit

  • Heads of Digital, E-Commerce, and Operations who need implementation, not slide decks
  • Teams with website, CRM, tracking, and automation complexity that has become operational drag
  • Companies that want an external engineering partner instead of building a full internal systems team

The delivery model

Clear phases, controllable scope, visible progress. No consulting theatre.

Step 1

Architecture & priority mapping

We review the current stack, identify the bottlenecks, and decide what should be fixed, rebuilt, or simplified first.

  • Website / store / CMS review
  • Tracking, attribution, and event baseline review
  • CRM, Mautic, n8n, forms, and handoff review
  • Constraints, dependencies, and rollout sequence
Architecture and systems review
Execution sprint planning and implementation
Step 2

Execution sprints

We implement the highest-leverage system changes first — with clear scope, staged delivery, and measurable outputs.

  • Headless/frontend performance improvements
  • Landing pages, forms, and funnel infrastructure
  • Tracking and attribution fixes
  • Mautic + n8n workflows and integrations
Step 3

Data, automation, and AI enablement

Once the foundation is clean, we connect the operational layer: data pipelines, workflow logic, and practical AI use cases.

  • Supabase / Postgres foundations where needed
  • Agent and workflow orchestration via n8n
  • Operational automations instead of brittle demos
  • System documentation and internal enablement
Data automation and AI enablement
Ongoing operations and optimization
Step 4

Operate, monitor, and improve

We stay close enough to keep the system stable and useful, instead of letting it decay after launch.

  • Monitoring and incident handling
  • Iteration on UX, flows, and performance
  • Clean handovers and documentation
  • Ongoing buildout when new bottlenecks appear

Not what we’re for

Pure strategy projects with no implementation
Ad-buying or creative-only engagements
Quick hacks that ignore maintainability and operations

Want a clear recommendation for your stack?

Start with the Digital Architecture Decision Memo. We use it to define the right sequence: what to fix, what to build, and what to ignore.