Review: RedCore's HR tech case study puts process ahead of AI tools

Yogonet has published a practitioner piece from Iuliia Shkut, Head of HR Operations at RedCore, on how the company turns AI and automation into measurable HR value. It reads as a lessons-learned playbook rather than a product pitch: an AI assistant on the corporate knowledge base, automated candidate CV and interview processing, AI-supported 360-degree feedback reviews, and an internally built HRMS called "Cabinet." The framing is explicitly anti-tool-first, anchored in Deloitte data that 59% of companies pick the tool before the process and are 1.6 times more likely to miss ROI.

The piece's real value is its discipline. Shkut boils the approach down to one question — "What business problem are we trying to solve?" — and pairs it with a practical rule that automation must free up at least 20% of working time. For iGaming operators, where hiring volumes and compliance pressure are high and HR teams are often early adopters of AI, that is a more useful yardstick than most vendor demos. It also quietly argues for building lean internal tools over buying heavy suites, a trade-off that will land differently depending on a company's engineering capacity.

Its limitations are worth noting: this is a single-company experience with no hard numbers on attrition, hiring quality, or time saved, so it should be read as a process reference, not proof. What to watch next is whether RedCore publishes quantified outcomes that back up its claims. Until then, the piece is a solid, honest look at how one company keeps human judgment at the center of automation.

Read the full article at Yogonet for RedCore's specific examples and implementation principles.