AI Automation: Why 80% of projects target the wrong process.
Everyone wants to automate. Most start with the wrong process. That costs time, money and trust, and leaves a team that thinks AI has failed.
We should stop talking about disruption while the team is still printing invoices to file them by hand.
AI automation sounds like big visions. Autonomous systems. Fully connected processes. And while the strategy presentation is still warm, someone on the third floor is manually copying customer data from an email into the CRM.
That is not meant sarcastically. It is the reality in most companies that come to us. The gap between what would be possible and what actually happens is enormous. And it almost always starts with choosing the wrong starting point.
Automating chaos just gives you faster chaos. If a process already does not work manually because responsibilities are unclear and data is missing, AI will not fix it. It will just scale the chaos in milliseconds. Clean up the foundation first before asking a robot to build on it.
Three traps when choosing the first automation project.
We see these situations in almost every company that comes to us.
The lighthouse project
Management wants to build the fully autonomous AI sales assistant to prove innovation credentials. Meanwhile the team on the ground is frustrated because they spend two hours every day manually copying data from emails into the CRM. Solve the real pain of the employees, not the prestige problem.
The result: Months-long project, zero noticeable relief in daily work.
The perfectionism trap
Those who want to automate 100% die beautifully and blow the budget. Trying to teach AI even the most obscure edge case costs an enormous amount of time and money. Automate the 80% standard tasks. The remaining 20% belong in the hands of your smart, empathetic employees.
The result: Project fails just before the finish line because the last edge case is never solved.
AI as a plaster for broken structures
When departments do not talk to each other and information silos are defended like fortresses, no automation tool in the world will help. AI solves technical bottlenecks, not organisational blockades.
The result: The automation runs, but the actual problem remains.
The wrong process almost always comes from the same impulse: importance over pain.
Companies choose the first AI use case by importance. What is strategically relevant? What impresses the board? What sounds like transformation?
That is the wrong compass.
The right compass is pain. Where in the office does the most sighing happen? The copy-paste madness. The endless search for documents. The ticket backlog in customer service. The report that gets manually assembled from three systems every Monday morning.
If you have to draw a flowchart with 40 branches first, you are at the wrong process. Find the workflow that can be explained in three sentences and annoys everyone every day. That is your best first use case for AI automation.
The sigh test. The minimally invasive principle. And a first step in days, not months.
We find the right process with a simple method: the sigh test. Where in the company does the most sighing happen? Who rolls their eyes when a certain workflow comes up in conversation? That is your starting point.
And once we have found that process, we do not knock down the house to change a lightbulb. A clever webhook, a smart interface, a targeted prompt. This is often not a months-long IT project but something implemented in a matter of days.
An honest process check sometimes feels like a visit to the dentist: briefly uncomfortable, you notice what you have been neglecting, but afterwards everything runs smoothly again.
The ROI of the first AI automation is not only measured in euros. It is measured in the tangible relief of the team. In the two hours that no longer go towards routine work every day. In the colleague who stops sighing.
From sigh to automated process. Three days.
A sales team spends 90 minutes every day reading incoming requests from the email inbox, manually categorising them and entering them into the CRM. Everyone knows how annoying it is. Nobody has tackled it yet because it was not a strategic topic.
We identify this as the perfect first use case: clearly defined input, clear output, high volume, no exceptions that require human judgement.
- Process analysed and documented in half a day
- Automation built with existing email tool and CRM API
- Live after three days
- 90 minutes of manual work eliminated every day
- Team reaction: why didn't we do this two years ago?
- Next use case already identified
“If you have to draw a flowchart with 40 branches first, you are at the wrong process. Find the workflow that can be explained in three sentences and annoys everyone every day.”
What you usually ask us about AI automation.
WHERE DOES YOUR OFFICE SIGH THE MOST? THAT IS YOUR FIRST AI USE CASE.
Tell us briefly about the most annoying manual process in your business, we will tell you in one conversation whether and how quickly we can automate it.