Everything you need to know before working with us — or deciding not to.
Workflow automation is using software to handle repetitive tasks that would otherwise require manual work — like processing orders, updating inventory, sending notifications, or routing customer messages.
The goal isn't to replace you or your team. It's to handle the tasks that eat your time without requiring your attention. When done right, automation handles the volume so you can handle the decisions.
For small and medium businesses, automation typically covers: order processing, inventory sync, customer notifications, repricing, review requests, and customer message routing.
The most common question we get is "do I need technical skills?" The answer: you need to understand your business. We handle the technical build. You stay focused on growing.
Most of our clients are live with their first automation within 2–4 weeks.
The Discover Sprint — our 2-week initial engagement — is designed to get you from "interested" to "seeing your first automated workflow in production" in 14 days. That includes the discovery session, the build, and the handoff.
For a full multi-workflow automation system (the Automate Package), the typical timeline is 4–6 weeks from signed agreement to full live operation.
The Transform retainer is ongoing — we add 2 new workflows per quarter and maintain everything we've built.
The main variable is complexity. A simple data-sync workflow might be live in 3 days. A multi-system integration across your CRM, ERP, and supplier portals takes longer.
No. That's explicitly not a requirement for working with us.
We ask that you understand your business — which processes you follow, where the pain points are, what you need the system to do. You don't need to know how to build it.
We handle the n8n workflows, API connections, integrations, and technical architecture. We test everything in a sandbox before it touches your live store. We document everything we build.
What we do need from you: access to the platforms involved (your web store, CRM, inventory system, or supplier portals), a clear description of what you're currently doing manually, and someone on your team who can be the day-to-day contact for testing and feedback.
Our pricing is structured in three packages:
We don't do hourly billing. Flat rates mean no surprises — for you or for us.
Most clients see payback within 3–6 months based on time recovered.
We work with small and medium businesses doing €50K–€5M+ in annual revenue. Below €50K, the time savings often don't justify the investment. Above €5M, you typically have dedicated ops teams who benefit from more sophisticated systems.
The sweet spot is €200K–€3M — where there's enough volume for automation to make a meaningful difference, but not so much that you have internal resources already building these systems.
That said, every situation is different. If you're spending 10+ hours a week on manual tasks at any revenue level, automation probably makes sense. If you're spending 3 hours a week, it probably doesn't yet.
Data security matters, especially for e-commerce businesses who are working with customer data.
If GDPR compliance is a concern for your business, raise it in the discovery call. We'll walk you through exactly how each specific workflow handles data.
We work with a broad range of platforms and systems. Specific integrations we've built:
If your platform isn't listed, ask. We assess new integrations on a case-by-case basis.
Every automation we build includes three layers of protection:
On the Transform retainer, we monitor everything remotely as part of the service. If something breaks, we fix it — and we tell you what happened and what we did about it.
The rule we use: automate the task that is most repetitive, most frequent, and most interruptive to your day.
The discovery call is specifically designed to help you identify and prioritize your highest-ROI automation opportunities.
Yes — with a caveat.
Routine messages (order status inquiries, return policy questions, sizing information, tracking updates) are highly automatable. We typically build a routing system that:
What you should know: Amazon's automated response tools have their own capabilities. The advantage of a custom build is that your responses can be genuinely personalized — pulling real order data, in your brand voice, not Amazon's generic templates.
Messages that require judgment, empathy, or negotiation should still go to a human. We'll tell you honestly in the discovery call which of your message types are automatable and which aren't.
Honestly: it changes their role.
In almost every case, when we automate manual processes, the people doing those tasks end up doing more valuable work. The order processing person becomes the exception handler. The person doing inventory updates becomes the person analyzing why stockouts happen.
What we watch for: people who feel threatened by automation, or who feel they weren't consulted. We involve the people doing the work in the discovery process — not just the owner — so everyone understands what's changing and why.
The goal is never to make anyone redundant. It's to free up your team's time for the work that actually needs their judgment and creativity.
This happens. Platforms update their APIs periodically — it's normal.
For clients on the Transform retainer, this is explicitly covered — we monitor for changes and update workflows proactively. Our clients didn't have an issue when platform APIs changed — we caught it and fixed it before it affected their operations.
For clients on a one-time build (Automate Package), we provide 30 days of post-launch support. After that, API changes are covered under a maintenance agreement or you'd need to be on the Transform retainer.
Zapier: Easiest to use, most limited. Best for simple workflows between mainstream tools. Has an Amazon integration, but it's basic. Good for: non-technical teams, simple automations, low volume.
Make (formerly Integromat): More powerful than Zapier, visual builder, stronger e-commerce integrations. Better for multi-step workflows. Our current tool of choice for most builds. More flexible than Zapier, still accessible to non-developers.
n8n: Most powerful, open-source, requires more technical knowledge to self-manage but we handle the technical side. Best for complex workflows, custom API connections, and enterprise-grade reliability. This is what we use for most of our production builds.
We don't recommend you self-manage n8n unless you have a developer on staff. We handle the hosting, maintenance, and monitoring.
Yes — but there's an important distinction between repricing alerts and full repricing automation.
Repricing alerts: We build a system that monitors competitor prices and notifies you when someone undercuts you by more than X%. You decide whether to act. This is lower risk, lower cost, and usually what we recommend starting with.
Full repricing automation: The system adjusts your prices automatically based on rules you set. This works — and we can build it — but it's higher risk if the rules aren't carefully designed. We've seen repricing bots make negative-margin decisions in competitive situations. The guardrails matter enormously.
Our recommendation for most businesses: start with repricing alerts. Get comfortable with the monitoring. Then decide whether you want full automation based on what you learn.
We measure automation success in three ways:
We provide a monthly report for Transform retainer clients showing exactly what the automations saved, what ran, and what was flagged.
No. Our packages are modular.
You can start with a Discover Sprint — spend €1,750, get your roadmap, see your first 2 workflows running, and then decide whether to continue. You don't have to commit to the Automate Package or the Transform retainer.
Many clients start with Discover, decide they want the full build, and move to Automate. Some clients do Discover and then implement the workflows themselves using the roadmap — we don't mind, and we're honest about whether that's realistic given their technical capacity.
The Transform retainer is for clients who want ongoing partnership — maintenance, new workflows, strategy. It's not required to work with us.
Yes — specifically for the automation systems we've built for you.
The EU AI Act (fully enforceable August 2, 2026) affects businesses who use AI tools in specific ways. Most of the automations we build fall into the "minimal risk" category — no specific obligations. The main area where compliance is relevant is AI-powered customer-facing chatbots and automated decision-making tools.
For Transform retainer clients, we include an annual AI Act compliance review of your automation stack. For one-time clients, we can provide documentation of what each automation does and how it handles data — which is the core of what an audit would ask for.
If you need a formal compliance assessment for a regulator or legal requirement, we'd refer you to a lawyer who specializes in this — that's outside our scope.
30 minutes. No sales pitch. No obligation.
The goal is for you to leave the call with useful things to think about — regardless of whether we work together.
This is a distinction worth understanding.
Automation follows explicit rules: "When X happens, do Y." It's deterministic. It does exactly what you tell it, every time, without judgment. Most e-commerce automation — order processing, inventory sync, email triggers — is this type. Powerful, reliable, but limited to what you anticipated.
AI agents can pursue a goal autonomously, making decisions along the way. They can handle exceptions, use multiple tools, and adapt when situations change. "Handle customer inquiries and make sure every customer who has a problem gets a resolution within 2 hours" — the agent figures out how to make that happen.
The practical difference: automation handles the routine. AI agents handle the ambiguous.
For most small and medium businesses today, starting with solid automation foundations (order processing, inventory sync) and then layering in AI agents for customer service and decision support is the right sequence.
The simplest path:
Most clients who book a call move forward. But there's no pressure — the call is genuinely useful regardless.
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