How Osadkowski builds competitive advantage through clever AI-based automation

Buying service requires processing a huge number of unstructured messages: license plate numbers, phones, carrier data, logistical contexts, and in the background, the most important information: what contract number and which custodian should handle the case?

Before implementing AI, the team read hundreds of lines of text every day to make sure the message went to the right person. Manual interpretation, long context, lack of standardization - these were not processes that classic automation rules could handle.

SmartOSA - a solution built together with our partners at Osadkowski - analyzes the content of messages using AI, separating:

1. license plate numbers from phone numbers,

2. operational data from business context,

3. and most importantly: it extracts the correct contract number, checks it in the CRM and immediately decrements the message to the appropriate custodian.

In addition, it enriches the forwarded message with data from the CRM - so that the employee has everything at hand from the first second.

Click to zoomImage > SmartOSA

The result?

SmartOSA wasn't about 'implementing AI,' it was about removing work from people that should never be done manually. This process was business-critical, full of context and nuance, and extremely taxing on the team. AI allowed us to sort through the chaos of information and make technology realistically support people - taking over tedious operational decisions rather than replacing human responsibility. This is a prime example that well-designed automation can be both simple, efficient and cost-effective.

Bartłomiej Śliwiński

Senior Development Lead, Hycom

In the first weeks of operation:

• processed over 1500 messages,

• +30% team efficiency,

• redirected the team's work to critical areas of the buying department.

This is practical confirmation that even the most complex and unstructured processes can be improved if we analyze the needs from the source and select the technology adequately to the problem - not the other way around.

AI automation is the next step after major projects with Osadkowski, among others:

Digitalization of B2B sales - portal serving tens of thousands of customers after 3 months of implementation

Traffic growth of 130% y/y and full integration with ERP and CRM

Rebuilding customer service and logistics processes

Rapid deployment of digital services through microservices architecture

All these initiatives have a common denominator:

Bridging the tension between humans and technology so that work is smoother and customers are taken care of.