On May 12, we were at Tekwill for the sixth edition of the ATIC HR & Recruitment Conference. A full day of talks, panels, and honestly some of the most grounded conversations I've heard about where HR is actually headed in the age of AI.
BinarCode was there as a session sponsor, with Cristi Jora, Co-Founder & CEO of Growee, taking the stage to present Beyond Automation: Building an AI-Native HR Platform. We also had another reason to feel at home: Alina Scutaru, our Scrum Master at BinarCode, was on the presenter side, moderating the conference.
Here's what we observed, what stayed with us, and what it means for the work we're doing at Growee.
The Room Was Full of People Who Get It, and Are Still Figuring It Out
The conference brought together HR directors, CEOs, talent specialists, and legal experts from across the Moldovan ICT ecosystem. The theme this year was navigating workforce transformation in the AI era, and that framing shaped pretty much every session.
What struck me most wasn't the polished talks. It was the Q&A. The questions people asked and the way speakers answered them painted a clearer picture of where HR professionals actually are right now, versus where the industry says they should be.
AI was everywhere in the conversation. But so was a quiet undercurrent of skepticism. HR professionals are open to the technology. They're just not fully sold yet. And honestly, that makes sense.
What We Heard Between the Lines
A few patterns came up repeatedly across sessions and panels.
HR teams are open to AI, but overwhelmed by it. There's genuine curiosity and, in many cases, early adoption. But the concern about bias and generalization keeps surfacing. People worry that AI tools flatten nuance, that they're built on patterns that don't account for context, culture, or the specific reality of a team. That's a fair concern and one worth taking seriously.
Most AI adoption is still happening at arm's length. The recurring sentiment was something like: "I use AI, but I wouldn't trust it with the sensitive stuff." The sensitive stuff being performance evaluations, difficult conversations, decisions that affect people's careers. The tools aren't there yet, and neither is the trust.
Automation appetite is real, just pointed at specific things. Where HR professionals genuinely want AI to take things off their plate: onboarding, bureaucratic paperwork, document signing, payroll. The repetitive, time-consuming operational work that leaves little room for the decisions that actually matter.
Continuous feedback is an underserved space. One of the panel discussions opened up an interesting thread around feedback cycles. Most organizations are still doing performance reviews once or twice a year. The conversation around how to build continuous, meaningful feedback loops, rather than waiting for quarterly or annual checkpoints, felt unresolved. And that gap felt significant to me.
What We Presented
Cristi's session walked through the story of Growee and the thesis behind building an AI-native HR platform rather than adding AI features onto a legacy product.
The core idea: everything in HR starts from context. A project, a team, a client, a set of requirements. When that context lives in your platform from day one, AI can do something genuinely useful with it. Not generate generic output, but help with decisions that are specific to your actual situation.
The demo covered the full loop: using project context to generate a job description, running a candidate pipeline with AI scoring, converting a hire into an employee with their full history intact, setting objectives tied to their actual role, and generating monthly reports through an AI agent that flags hours, prepares invoices, and waits for approval before sending anything out.
The framing wasn't "AI replaces HR." It was closer to: AI handles the operational load so HR can focus on the decisions that still need a human.
HR professionals don't need AI to think for them. They need AI to get out of the way of the operational work so they can think more clearly about the people decisions that actually matter.
Where We Think This Goes
The conference was a useful reality check. There's genuine movement in the space. Companies are experimenting, tools are getting better, and the conversation is maturing past the hype phase.
But a few things are clear.
The trust gap is real and won't close through features alone. HR professionals will adopt AI tools when those tools prove themselves on lower-stakes tasks first. That's not resistance, it's good judgment.
Operational automation is the lowest-friction entry point. Leave management, document management, time tracking, payroll prep. These are the areas where HR teams are ready to let go. And that's exactly where AI can deliver immediate, measurable value without requiring anyone to hand over decisions they're not ready to delegate.
Continuous feedback is a problem worth solving properly. Not a feature bolted onto a performance module, but a rethink of how feedback flows through teams on a daily and weekly basis. It came up in a panel and then got left there. We're not leaving it there.
It was a good day overall. Seeing Alina on the other side of the room, helping shape the conversation rather than just being in the audience, was a small but satisfying thing to witness. And watching Cristi walk a room full of HR professionals through a live product demo and hold their attention was a reminder of why we're building what we're building.
We'll be back next year. Hopefully with a few more answers and a few better questions.
Growee is an AI-native HR platform initially powered by BinarCode. Want to see it in action? Book a demo or start for free.