AI
Why operators are choosing to buy in their AI strategy
In an industry where margins are thin and player loyalty is fleeting, customer experience has become a key differentiator for operators. As AI becomes a core operational requirement, leadership teams face a clear choice: build proprietary technology in house, or partner with purpose built AI CX providers.
Alex Gould, CTO at Conduet, explains why more operators are choosing the latter.
What industry-specific CX challenges can an exterior solution address ‘out of the box’ compared to a generic build?
Generic AI struggles in sports betting and iGaming because player inquiries are shaped by complex, domain-specific rules and edge cases. Questions about settlements, promotions, withdrawals, or cash outs are rarely straightforward. They depend on wager structure, timing, eligibility criteria, and operator-specific logic.
Over 80% of player inquiries require pulling live, account-specific information from the PAM and applying it correctly within that broader rule set. Without purpose-built logic to interpret both the data and the edge cases around it, responses quickly become incomplete or incorrect.
This limitation is reflected more broadly in enterprise AI adoption. Research from MIT found that 95% of enterprise AI initiatives fail to deliver measurable business impact, often because broadly trained models are pushed into live environments without the domain context needed to handle real-world variability. What appears to work in controlled testing breaks down once exposed to operational complexity.
Purpose-built platforms are designed around this reality. By training on gaming-specific data, workflows, and failure modes, they can interpret live PAM data in context and handle both common and complex inquiries accurately from day one, without relying on extensive rules, manual escalation, or post-deployment patchwork.
How would you characterise the current skills gap within operator teams regarding AI implementation?
Operator CX teams are closest to the customer and understand where friction exists. The challenge is not identifying opportunities, but delivering AI that performs reliably in production. Turning insight into production-ready capability requires technical depth, dedicated ownership, and sustained iteration that sit outside the remit of most CX organisations.
Deploying AI in gaming requires expertise across model evaluation, conversation design, failure handling, and real-time interaction with PAMs and ticketing systems. It also requires ongoing investment to monitor performance, manage edge cases, and improve outcomes as volumes and player behaviour change. CX teams are structured to run day-to-day operations, which makes sustaining this work in parallel difficult.
As a result, many internal AI CX efforts stall or remain narrow in scope, not because the opportunity is unclear, but because the execution burden is too high.
What is the average time to market using a specialist platform, versus a full in-house build?
In-house AI efforts typically take 18 to 36 months to reach enterprise-ready scale. The delay is driven by the need to coordinate across CX, product, data, and engineering while establishing new ownership and operating models inside live CX environments.
A specialist platform compresses this timeline materially. With gameLM, operators can move from concept to live inbound CX in six to 12 weeks. Operators achieve 60%+ resolution within 90 days, scaling toward 80%+ shortly thereafter.
Why does a purpose built partnership model matter in iGaming & OSB CX?
In iGaming and online sports betting, the challenge is not adopting AI, but making it work reliably at scale. Generic platforms often shift the burden onto operators after deployment, requiring significant time and internal effort to adapt the technology to gaming-specific realities. That effort compounds as complexity grows.
A purpose built partnership model changes that dynamic. Instead of operators spending months closing gaps, AI is deployed using operating patterns already proven in live gaming CX. Common failure modes, escalation paths, and performance tradeoffs are understood upfront, reducing the need for downstream rework and ongoing firefighting.
Conduet applies this approach through gameLM, informed by operating a 500+ agent gaming CX organisation. That operating knowledge functions as an embedded R&D capability, shaping how the platform is tuned, prioritised, and extended alongside each operator’s environment. Inbound CX performance today directly informs the development of additional, gaming-specific capabilities such as reactivation, payments optimisation, and fraud prevention.
The result is a partnership model that delivers strong outcomes without transferring the hidden cost of adaptation and maintenance back to the operator, allowing CX capability to keep pace as the industry evolves.
Alex Gould is the CTO at Conduet, where he leverages his technical and strategic background to guide technology strategy and innovation. He is also the Founder and CTO of Everyday AI and previously founded computer vision company ViewX. Alex’s earlier experience includes roles at Primary Venture Partners and Bain & Company, and he holds an MBA from Columbia Business School and a Bachelor of Engineering (Hons) from the University of Canterbury.
The post Why operators are choosing to buy in their AI strategy appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
Tugi Tark has released a 2026 whitepaper, The economics of AI-powered iGaming customer support, arguing that AI changes the unit economics of player support and can reduce costs compared with human-led operations.
The report cites “verified pricing” of EUR 0.15 per AI-handled ticket. It compares that with fully loaded employer costs for human support in Romania and Bulgaria of EUR 1.73 to EUR 1.88 per ticket. At a “realistic” 70% AI containment rate, the whitepaper claims a blended cost of about EUR 0.67 per ticket, which it describes as roughly a 64% reduction versus a human-only baseline of EUR 1.88.
Tugi Tark says its analysis draws on Eurostat 2024 labour cost data, published research on AI chatbot benchmarks, independent iGaming player behaviour research, and operational data from its own deployments. The company estimates operators can achieve a 55% to 75% reduction in total support expenditure, and argues AI can absorb volume spikes—such as during major sporting events—without additional hiring or training lag.
Harpo Lilja, founder and CEO of TUgi Tark, said: “In 2026, the ‘wait-and-see’ approach to AI is costing operators millions in unnecessary overhead. We aren’t just talking about chatbots; we’re talking about a fundamental shift in the unit economics of player retention.”
The whitepaper also frames customer support as a retention lever, stating that payment issues account for 52% of ticket volume and that slower response times drive churn. It claims a 0.5 percentage point churn reduction could retain an additional 500 players per month for a mid-sized operator, translating to €200,000 in annual revenue based on an assumed €400 Player Lifetime Value. Tugi Tark also claims AI agents average ~7 seconds for first response versus ~60 seconds for human agents, and outlines use cases across Responsible Gambling escalation, KYC/AML workflows, and GDPR-aligned data sovereignty.
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Supplier takes Stand A05 in Nairobi on May 4–5, pitching pre-built tournament betting tools and discounted onboarding for new partners.
BetConstruct AI said it will exhibit at iGaming Afrika on May 4–5 in Nairobi, Kenya, at Stand A05.
The company said its main focus at the event will be a “Best Sportsbook for the World Cup 2026” package, supported by “Special Bets, Powerfull and Bet on League.” BetConstruct AI said the tools are designed to help operators run World Cup activations “with zero additional development required.”
For the World Cup activation, the supplier is also advertising commercial incentives for new partners. BetConstruct AI said new partners receive a 65% platform setup discount “applied immediately,” plus “100% Core Suite Access” for the first three months, followed by “65% off for 4-12 months.” It added that third-party tools are “51% off for 3 months.”
Beyond the tournament pitch, BetConstruct AI said it will present its wider iGaming ecosystem, including Sportsbook Platform, Casino Platform, Affiliate Ecosystem, Retail Solutions, and its AI suite. The company said its Sportsbook Platform provides “over 140,000 pre-match events and 12,000+ monthly esports live events,” and that its Casino Platform integrates “350+ providers via a unified aggregation API.”
BetConstruct AI said its AI suite includes CRM AI, Umbrella AI, AI Game Recommendation System, and Betting Mate AI, covering functions such as churn prediction, risk management, real-time personalisation, and conversational betting. It also said its Retail Solutions show how operators can connect land-based and digital channels for an omnichannel setup.
- BetConstruct (official website); https://www.betconstruct.com/ Company reference page for product portfolio and event announcements.
- iGaming Afrika (event information); https://igamingafrika.com/ Confirms dates, location, and exhibitor details for the conference.
- FIFA World Cup 2026 (official site); https://www.fifa.com/fifaplus/en/tournaments/mens/worldcup/canadamexicousa2026 Authoritative background on the tournament referenced in the supplier’s activation pitch.
The post BetConstruct AI to present World Cup 2026 sportsbook offer at iGaming Afrika appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
In an iGaming Real Talk interview in Dubai, the firm says the tool reads player emotion and context to guide operator actions.
SoftConstruct AI has unveiled RecSys, an AI Game Recommendation System, during an exclusive iGaming Real Talk interview recorded at AIBC Eurasia in Dubai on Thursday 30th April.
Mushegh Khachatryan, Chief AI Officer at SoftConstruct AI, said RecSys is designed to move beyond traditional recommendation models by interpreting player emotions in real time and accounting for context, with the goal of suggesting “the next best action” for operators. “You can understand your customer’s emotions in real time and suggest the next best action. We are building intelligent systems which can reason and act.”
Khachatryan said SoftConstruct built an AI Center of Excellence by hiring talent from outside the iGaming sector, and described RecSys as part of “production-ready agentic AI” intended to support personalised campaigns and decision automation. Surya Palli, host of iGaming Real Talk, said: “SoftConstruct is essentially building a Netflix-style personalised experience for the iGaming industry, where every player gets a lobby made just for them.”
Responsible gaming was also discussed, with the company claiming AI can detect risky behaviour faster and more consistently than human teams, and recommend timely breaks while balancing player protection with sustainable growth.
Khachatryan also stressed the need for explainable, controlled deployment. “AI should help teams perform five times better rather than replace them… Without proper boundaries, short-term momentum boosts with AI can actually hurt your company in the long term.” The company said operators can manage campaigns, personalisation and risk through chat interfaces, with at least 85% accuracy “from the first interactions,” and directed viewers to the full interview on the iGaming Real Talk YouTube channel.
- SoftConstruct; https://softconstruct.com/ Company background and official information on SoftConstruct and its business units.
- iGaming Real Talk YouTube channel; https://www.youtube.com/ Source location for the full interview referenced in the announcement (editor can add the specific video URL once identified).
- AIBC Eurasia; https://aibc.world/ Event organiser site to corroborate the conference setting and provide context on AIBC Eurasia.
The post SoftConstruct unveils RecSys AI game recommendation system at AIBC Eurasia appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.
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