AI is a buzzword that has continued to dominate discourse in gambling and beyond.
Despite almost every company using the technology in some form, its utilisation still leaves plenty to be desired, according to BetConstruct AI’s Chief AI Officer, Mushegh Khachatryan.
He told SlotBeats: The most advanced operators are already using AI to predict intent, personalise experiences in real time, and identify anomalies earlier than traditional rules-based systems can.
“That said, the industry is still in a ‘two-speed’ moment. Some businesses have the data foundation, governance, and internal AI literacy to deploy models responsibly and measure impact. Others are still experimenting with isolated point-solutions, often without enough oversight, evaluation, or clarity around what the model is doing and why.”
From reactive to proactive
Last year, BetConstruct AI released a range of tools purpose-built for the iGaming industry, including an AI Game Recommendation System, CRM AI focused on predictive engagement, and Umbrella AI designed to protect profit and integrity by detecting concerning patterns related to fraud/bonus abuse.
“For me, the key shift over the next 12–24 months will be from ‘using AI’ to ‘operating with AI’: integrated, measurable, and accountable intelligence that improves performance while strengthening trust, compliance, and player protection,” explained Khachatryan.
“BetConstruct AI is built as a suite and not a single feature. It’s designed to help partners predict, protect, and personalise across the full player lifecycle.”
The biggest improvements for utilisation, he continued, will focus on “adaptive intelligence”, shifting from explaining past events to producing systems that can anticipate what’s next for growth, retention and risk.
Betting Mate
In light of these predictions, BetConstruct AI launched Betting Mate at the recently concluded ICE Barcelona, which is a sports betting AI that allows players to discuss team forms and standings to inform wagers.
In addition, an express builder is built within the solution to construct a player’s bets using prompts.
“Our roadmap is focused on moving from prediction to action, not only identifying what is happening, but recommending what to do next in a way operators can control and measure,” concluded Khachatryan.
“In the near term, you can expect further AI-driven optimisation across engagement and content discovery, including smarter message timing and channel optimisation, and deeper categorisation-based recommendations. “
“Beyond that, we’re building towards ‘Next Best Action’ capabilities that connect insights directly to practical steps for CRM teams, risk managers, and product owners.”
