Lean Digital's commercial director and partner Aleksandr Miina joined a panel discussion at the Laoseis 2026 conference, alongside SmartPost's warehouse logistics director Raivo Roolaid and IDsys OÜ's CEO Anton Mesila, addressing a risk that costs companies real money: digitalizing an undocumented or inconsistent process doesn't fix it — it accelerates the errors already built into it.
The panel's conclusion matches what Lean Digital sees consistently across manufacturing, logistics, and service-sector automation projects: automation multiplies whatever process already exists, for better or worse.
Why Automating a Broken Process Creates More Errors, Faster
Automation scales process flaws instead of correcting them. A process with unclear steps, inconsistent exceptions, or undocumented manual workarounds will produce the same errors after automation, but at higher volume and speed, with fewer natural checkpoints to catch them.
Before automation, an experienced employee often catches errors informally — noticing an exception, applying a workaround, flagging an anomaly. After automation, that informal check disappears unless it was explicitly designed into the system. The result: continuous, compounding errors instead of occasional, caught ones.
What the Laoseis 2026 Panel Recommended
The panel — including Lean Digital's Aleksandr Miina — pointed to a clear prerequisite for successful digitalization: a defined goal, organized processes, and leadership readiness to drive the change. Digitalization shouldn't be treated as a standalone IT project; it's a management task that needs to follow the company's business strategy.
Building on that, Lean Digital recommends a four-step sequence for any business process automation (BPA) or digital transformation project:
- Process mapping first. Document the current process in full - including exceptions and informal workarounds - before selecting any tool or vendor.
- Pilot in a contained scope. Automate one zone, one product line, or one workflow before committing to a full-scale rollout.
- Measure pilot results against defined metrics. Track error rate, cycle time, and cost per transaction before and after the pilot.
- Scale only after the pilot demonstrates repeatable, measurable gains. Full rollout follows proof, not assumption.
Process Consulting vs. Technology-First Digital Transformation
Organizations that start with process consulting before selecting automation technology reduce the risk of scaling existing errors. Organizations that select automation technology before clarifying the underlying process risk building what's known as "automated chaos" — a system that reliably reproduces dysfunction at scale.
Lean Digital's process modeling and analysis, business process management (BPM), and digital transformation strategy services are structured around this exact sequence: process clarity before tooling, piloting before scaling.
Frequently Asked Questions
Does digitalizing a manual process automatically reduce errors?
No. Digitalization scales the existing process exactly as it is. If the underlying process is unclear or inconsistent, automation reproduces those errors at higher volume and speed rather than reducing them.
What is "automated chaos" in the context of digital transformation?
"Automated chaos" describes a system where automating an undocumented or inconsistent process removes the informal human checks that previously caught errors, causing the same mistakes to occur continuously rather than occasionally.
How long should a pilot run before scaling a business process automation project?
Pilot length depends on process cycle time, but the pilot should run long enough to capture a full operational cycle — enough transactions or workflow repetitions to produce statistically meaningful error-rate and cost data before scaling decisions are made.
What's the difference between process consulting and technology implementation in a digital transformation project?
Process consulting maps, documents, and clarifies how work actually happens today, including exceptions and workarounds. Technology implementation selects and deploys the software or automation tool. Sequencing process consulting before technology selection reduces the risk of automating existing dysfunction.
Which industries benefit most from a process-first approach to automation?
Manufacturing, logistics/warehouse operations, and service-sector organizations with high transaction volume and manual exception-handling benefit most, since these are the environments where undocumented workarounds are most common and most costly to automate incorrectly.
Lean Digital's Aleksandr Miina spoke on this topic at the Laoseis 2026 conference panel, covered by Logistikauudised, alongside SmartPost's Raivo Roolaid and IDsys OÜ's Anton Mesila.