Zitec

Zitec engineers who built the platform present it, together with Microsoft. You see where AI pays back in the lending flow, how accuracy holds up in production and what the EU AI Act means for credit.

The Zitec engineers who ship AI in SME lending are the ones presenting, with Microsoft. Expect a walkthrough with the numbers attached. You take away the use cases with proven ROI, and the ones that stayed expensive experiments. Skip the slides, see the work. Watch the recording now.

Where does AI pay back in SME lending? Zitec engineers walk through real deployments in production, from reading loan files to classification, with credit decisions kept human. Recorded with Microsoft, available on demand.

What worked and what didn’t when we put Agentic AI into SME lending. Document extraction, risk pre-assessment, internal routing: the Zitec engineers who shipped it walk you through each one, with the numbers attached. Recorded with Microsoft. The full session is ready when you are. Watch it on demand.

Ziarul Financiar published its ranking of the Romanian IT&C companies that grew their turnover every year from 2020 to 2025, and we just made the list. 😁 The ranking considered our 253% growth over the period, at an average of 28.7% a year. What matters more to us than the percentage is what it took to get there. That is five consecutive years of growth in a market that has been anything but predictable, while never steering away from our principles and our people and getting B-Corp certified in the process. Moreover, many of the names alongside us are the local arms of large international groups. Being one of the few independent, Romanian-founded companies in that group is something we're really proud of. 💙 23 years in, still growing on our own terms. Thank you to our teams and our clients, who are the actual reason these numbers exist. ✊ Full ranking in the comments 👇

As more retailers experiment with AI agents that can make decisions and take actions, the question of who is responsible when an agent gets it wrong comes up. 👀 Our answer is this. 👇 No matter how many agents or advanced algorithms are involved, the human remains the final decision-maker and is accountable for the outcome. AI is a productivity amplifier and a strategic tool, and it works best when it is governed like one. In practice, governance can follow a few clear steps. 👉 Business leaders set the objective, pointing the AI at a real problem worth solving, like operational efficiency or a better customer experience. 👉 The organization's readiness gets audited, from data access and quality to how well the legacy systems can keep up. 👉 Feasibility and impact are tested in a controlled Proof of Concept before anything scales. 👉 Key people stay in the loop at the critical moments to validate what the AI produces. 👉 Access rights are defined by the business owner together with the stakeholders of each connected system, spelling out what data the agent can read, which actions it can take on its own, and the point at which it has to stop and ask a person. Do you agree with this take?