The topic of How the founder of Elogic Commerce deployed AI agents inside a 200-person ecommerce… is currently the subject of lively debate — readers and analysts are keeping a close eye on developments.
This is taking place in a dynamic environment: companies’ decisions and competitors’ reactions can quickly change the picture.
A lot of AI content out there is written by people who’ve never had to defend the results on their own balance sheet. This post is different — it’s about what our founder Paul Okhrem built inside Elogic Commerce and Uvik Software before he ever took on an external AI consulting engagement.
The short version: roughly 30% operational efficiency gains from AI agents in production across both companies. Here’s the honest breakdown of how that happened and what we learned.
Paul founded Elogic Commerce in 2009. We’ve grown to 200+ specialists across Tallinn, New York, London, Stockholm, Dresden, and Prague — doing B2B and enterprise ecommerce engineering (Adobe Commerce, headless, composable stacks).
Both companies became the testing ground for every AI initiative before it was recommended to anyone else. That’s the approach: run it in your own P&L first.
A compliance document and contract review workflow was moved into a RAG (Retrieval-Augmented Generation) system, deployed in a secure private environment over proprietary documents.
Senior analysts went from reading compliance documents to doing actual high-judgment work. That’s the compounding effect nobody shows in the demo.
Predictive ML models trained on historical IoT sensor data (vibration, temperature, output speed) to catch anomalies before machine failure — not after.
Conversational AI integrated directly into inventory and CRM systems. Handles returns, shipping inquiries, order tracking autonomously — and escalates emotionally complex cases to human agents with full context attached.
The escalation logic matters as much as the automation. Getting that wrong costs more than not automating at all.
We call it The Proof Standard™ — five components that must all be answered before any work begins:
If any one of the five can’t be answered, the engagement doesn’t start. That’s the rule.
After running this inside Elogic Commerce and across client engagements, here’s where the leverage is real vs. where it’s mostly noise:
If you’re working through an AI automation decision in ecommerce or B2B operations, drop your question below. Specifics get better answers than vague ones.
For deeper context on the consulting side of this work, Paul’s full methodology is published at here.
*Elogic Commerce — B2B and enterprise ecommerce engineering since 2009. elogic.co ·
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