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Beyond the Buzzwords: The Real Impact of AI in Casino Products
Artificial intelligence has quickly become one of the most widely discussed — yet often vaguely defined — technologies within the casino gaming sector.
Across the supplier ecosystem, AI is increasingly being positioned as a catalyst for change. From game development and personalised player experiences to operational optimisation and deeper player insights, the technology is frequently presented as a transformative force.
However, as interest in AI grows, so does the need to distinguish genuine innovation from marketing buzzwords. With insights from industry professionals, this discussion explores how AI is currently being used in practical, real-world scenarios, where it delivers measurable benefits for operators, and where expectations may still exceed reality.
Rather than focusing on speculative possibilities, the conversation centres on deployable solutions that are already in use today, the commercial and regulatory factors influencing adoption, and the responsibility suppliers have when communicating the capabilities of AI-driven technologies.
As operators become more selective when evaluating AI-based solutions, the discussion also looks ahead to the next 12–24 months, examining which AI applications may soon become essential for casino suppliers and what meaningful success with AI in gaming could realistically look like.
What Actually Counts as AI in Casino Gaming?
Artificial intelligence is now embedded throughout industry marketing, but the term is often applied broadly. In practical terms, what qualifies as a genuine AI application in casino gaming today — and where might the label be stretched too far?
According to Andreas Koeberl, CEO at BetGames, the industry still has considerable ground to cover.
He notes that while AI was frequently mentioned at industry events such as ICE, there were relatively few genuinely new developments presented. In comparison to other areas of gaming technology outside the iGaming sector, the casino industry remains behind the curve.
Koeberl points out that BetGames’ Casino Designer platform stood out as one of the few solutions showcasing meaningful AI-driven functionality. While some AI elements are already used during game development processes, broader innovation within the sector remains limited.
Sam Depoortere, Chief Product Officer at OpenBet, highlights that AI has already moved beyond theoretical discussions in sports betting and is now supporting real operational processes.
However, he also notes that the term is sometimes applied too loosely. Traditional machine learning models are often described as AI, even though true AI involves more advanced capabilities such as reasoning systems, autonomous task execution, and natural language processing — particularly through large language models and agent-based frameworks.
At OpenBet, this includes tools such as generative responsible gaming assistants and workflow automation systems that provide contextual insights and more intelligent decision-making support.
Meanwhile, Bjørnar Heggernes, Chief Commercial Officer at The Mill Adventure, believes AI provides the greatest value when it eliminates repetitive or time-consuming tasks.
By reducing procedural work, teams can focus on more meaningful activities such as creativity, strategic thinking, and deeper analysis. AI also enables operators to better interpret the large volumes of performance data they collect.
However, Heggernes cautions that AI is sometimes overstated when it comes to game design and content production. Producing more games faster does not necessarily translate into higher player engagement, and marketing efforts alone cannot guarantee growth.
Practical AI Tools Already Used by Operators
Many AI-driven solutions that deliver tangible benefits are already being used today, particularly in backend systems.
Koeberl explains that the most practical AI tools currently focus on CRM systems, player segmentation, behavioural analytics, and automated decision-making processes. These technologies help operators personalise player engagement, refine retention strategies, and streamline internal workflows.
While experimental front-end concepts such as AI-generated presenters have been explored, real-world testing has shown limited commercial impact so far.
Depoortere also points to a range of AI solutions already available to operators. For example, OpenBet’s Neccton platform uses machine learning to analyse player behaviour in real time and identify potential risk indicators related to responsible gaming.
The latest version incorporates generative AI features that enhance analysis capabilities and provide support teams with clearer, more actionable insights.
AI is also improving trading accuracy, strengthening pricing models, and enhancing risk management processes in sports betting environments.
Beyond player-facing applications, AI is increasingly used internally to improve reporting, accelerate product development, and simplify operational processes.
Heggernes adds that one of the most widely adopted AI applications today is actually content creation. Tools such as ChatGPT, Claude, and Copilot allow teams to generate ideas, structure content, and optimise messaging far more efficiently.
These tools have become integrated into everyday workflows across many organisations, though he stresses that proper training is necessary to ensure they are used effectively.
Additional areas seeing meaningful progress include AI-powered customer support tools, business intelligence platforms capable of generating reports via prompts, and AI-assisted design tools for creating websites and product concepts.
Where AI Is Delivering Real Value
When evaluating the value of AI, operators are increasingly focusing on measurable outcomes such as operational efficiency, scalability, player engagement, and content optimisation.
Heggernes highlights the example of SmartLobbies, a system that automates casino lobby management while delivering personalised game recommendations to players.
Instead of manually managing game placement each day, the system dynamically promotes relevant titles based on behavioural data and performance metrics.
This approach reduces operational workload for casino teams while helping players discover games that better match their preferences. The result is longer playing sessions, improved game visibility, and more efficient content management.
Depoortere notes that AI is also improving efficiency across multiple operational areas. Automation reduces the need for manual reporting and routine data analysis, allowing specialists to focus on strategic work.
AI technologies are also helping operators scale operations through shared APIs that integrate trading, risk management, and compliance processes.
Responsible gaming tools powered by AI can identify potentially harmful player behaviour earlier, improving regulatory outcomes while supporting long-term customer retention.
Koeberl adds that the clearest benefits of AI currently lie in operational optimisation. Machine learning models help analyse large datasets more quickly, enabling predictive insights and improved decision-making.
Automation can also reduce manual workloads across marketing, production, and back-office processes, allowing teams to increase output without expanding headcount.
However, he emphasises that successful AI adoption requires clear objectives. Many AI projects fail because organisations attempt to implement the technology without clearly defining the problems they want to solve.
Ensuring Responsible and Transparent AI Use
As AI enables greater automation and personalisation, maintaining transparency and regulatory compliance remains a critical priority.
Heggernes stresses that any AI solution must operate within strict regulatory frameworks. AI can support responsible gaming initiatives by identifying risk patterns, monitoring player behaviour, and detecting potential fraud.
However, automated systems should always complement — not replace — human oversight. Clear escalation processes, manual review procedures, and transparent reporting remain essential components of responsible AI deployment.
Depoortere agrees that governance and oversight are key. AI systems must operate within structured governance frameworks that ensure accountability and transparency.
OpenBet has established a multidisciplinary AI ethics committee responsible for reviewing model behaviour, compliance considerations, and potential operational risks.
Koeberl also notes that organisations must fully understand their data flows and operational safeguards before deploying AI technologies.
While AI models can sometimes operate as “black boxes,” human decision-makers must always retain ultimate control.
What Will Define the Next Stage of AI in Casino Gaming?
Looking ahead, several AI applications are likely to move from competitive advantages to baseline expectations across the industry.
Koeberl identifies two major areas of development: increased automation within game production processes and the emergence of entirely new game formats that rely on AI technologies.
Depoortere predicts that AI-driven player protection tools and automated trading adjustments will soon become standard features for casino suppliers.
Once these capabilities become widespread, the key differentiator will be the depth of integration within supplier ecosystems.
Rather than offering isolated AI tools, leading suppliers will create interconnected systems where trading, risk management, compliance, and product development operate within a unified AI framework.
Heggernes believes that the ability to translate complex data into clear insights will become increasingly important.
As AI-powered analytics become standard, suppliers who can turn large volumes of data into personalised, actionable recommendations for operators will ultimately stand out.
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iGaming in Africa: Why Localisation Remains the Industry’s Greatest Advantage
Africa’s iGaming market is one of the industry’s most dynamic growth regions, but success cannot be achieved through a one-size-fits-all approach.
In a recent article for iGaming AFRIKA, BetGames VP Africa & LatAm James Everett discusses how player behaviour varies significantly across the continent, influenced by factors such as market maturity, connectivity, payment infrastructure, and local gaming preferences.
More established markets often demonstrate longer engagement periods and higher spending patterns, supported by stronger regulatory frameworks and trusted payment ecosystems. Emerging markets, meanwhile, frequently favour shorter, mobile-first sessions and micro-betting behaviour shaped by practical considerations such as device capabilities and data costs.
These differences reinforce the importance of localisation. Beyond language translation, effective localisation includes adapting products, mechanics, payment methods, promotional strategies, and player experiences to align with local expectations and behaviours.
As African markets continue to develop, suppliers and operators that prioritise trust, accessibility, operational reliability, and locally relevant content will be best positioned to drive long-term engagement and sustainable growth.
Read the full article on iGaming AFRIKA for James Everett’s insights into the trends shaping the future of iGaming across Africa.
Custom Live Casino Environments
Custom Live Casino Environments Are Reshaping Player Engagement
Custom live casino environments are quickly becoming a core part of modern operator strategy, helping brands create more immersive and personalised player experiences.
In the latest issue of G3 Media, BetGames’ Chief Product & Business Development Officer Ian Catchick shares insights into how bespoke environments are evolving beyond simple visual customisation and becoming powerful tools for engagement, retention, and cross-game activity.
As player expectations continue to rise, operators are increasingly looking for ways to stand out in a crowded market. Tailored live casino environments allow brands to create experiences that feel more exclusive, familiar, and aligned with their identity — strengthening emotional connection and encouraging longer-term player loyalty.
Beyond branding, custom environments can also support broader commercial goals. Cohesive experiences across multiple products help operators introduce players to new games and verticals while maintaining consistency throughout the player journey.
However, scalability remains one of the industry’s biggest challenges. Traditionally, building bespoke live casino environments has required significant time, resources, and operational effort, making large-scale deployment difficult across multiple markets or brands.
New AI-powered technologies are beginning to change this. In the feature, Ian discusses how tools like BetGames’ AI-powered Casino Designer are helping streamline the creation process, allowing operators to launch customised environments faster and with greater flexibility.
As competition across the live casino sector intensifies, scalable personalisation and faster deployment are expected to play an increasingly important role in shaping the future of player engagement.
The case for connected play: why cross‑game engagement is driving retention
Player retention in iGaming is evolving beyond individual games and standalone verticals. As player behaviour changes, operators are increasingly recognising that long-term engagement is no longer driven by a single successful title, but by how seamlessly players move across an entire gaming ecosystem.
Today’s players expect platforms to feel connected, dynamic, and continuously rewarding. Rather than focusing on isolated products, they evaluate the overall experience — how naturally it evolves, how varied it feels, and how easily they can transition between different forms of entertainment.
As a result, cross-game engagement is becoming one of the key drivers of retention, session duration, and long-term player value.
From Individual Titles to Connected Ecosystems
Historically, operator performance often relied heavily on a single top-performing game or vertical.
However, this approach is becoming less sustainable as player expectations continue to evolve.
Players engaging with only one type of experience are more likely to experience fatigue and disengage faster over time. In contrast, players who interact with multiple products tend to remain active longer and demonstrate stronger retention patterns.
This is driving a broader shift toward portfolio-level thinking, where operators focus not only on the success of individual games, but also on how products work together to create continuous engagement.
Rather than asking which game performs best independently, operators are increasingly exploring how players move across the entire platform journey.
Why Variety Strengthens Engagement
At the core of connected play is something relatively simple: variety.
Different gaming experiences satisfy different player motivations and moods.
A player may seek fast-paced entertainment during one session, while preferring more immersive, social, or competitive gameplay during another.
Connected ecosystems allow players to explore these different experiences without leaving the platform, creating a more fluid and engaging journey.
This type of variety can support:
Longer session durations
More frequent return visits
Stronger emotional engagement
Higher cross-product participation
When transitions between games feel seamless, the platform itself becomes more immersive and engaging rather than feeling like a collection of disconnected products.
Designing Seamless Cross-Game Experiences
Encouraging players to move between products does not necessarily require overly complex systems or aggressive promotion.
In many cases, the most effective engagement strategies feel natural and intuitive to the player.
Cross-game engagement can be strengthened through:
Shared progression systems
Cross-game missions and events
Connected reward mechanics
Unified promotional journeys
At the same time, user experience plays a critical role in maintaining continuity across products.
Consistent visuals, recognizable interface patterns, and intuitive navigation help reduce friction when players transition between different games or verticals.
The goal is to make movement across the platform feel like a continuation of the same journey rather than a completely separate experience.
From Competitive Advantage to Industry Expectation
Connected digital experiences are already standard across many entertainment industries, including streaming services, mobile gaming, and social platforms.
As a result, player expectations within iGaming are evolving in the same direction.
Standalone experiences are becoming easier for players to abandon, while interconnected ecosystems provide stronger reasons to stay engaged over time.
This trend also aligns closely with the growing importance of gamification and personalization, where platforms increasingly adapt in real time to player behaviour rather than relying solely on static promotional campaigns.
Cross-game engagement is therefore shifting from being an additional feature to becoming a fundamental expectation within modern gaming ecosystems.
The Future of Player Retention
Looking ahead, retention strategies are likely to focus increasingly on the overall player journey rather than isolated product performance.
Operators will continue investing in systems that support:
Personalized engagement experiences
Real-time progression and rewards
Gamified cross-product journeys
Continuous player interaction across multiple verticals
At the same time, simplicity will remain critical.
The most effective engagement tools will be those that connect products intelligently while remaining intuitive and easy for players to understand.
As competition intensifies and acquisition costs continue to rise, connected play is rapidly becoming more than just a retention tool — it is emerging as a long-term strategic requirement for operators seeking sustainable player engagement and stronger lifetime value.
BetGames: Redefining Player Engagement in a Real-Time Gaming Environment
Player engagement in iGaming is entering a new phase — one shaped by real-time interaction, gamification, and increasingly personalized experiences.
Traditional loyalty programmes built around fixed rewards and tier systems are gradually evolving into more dynamic engagement ecosystems designed to keep players continuously connected to the experience.
As player expectations shift toward instant feedback and ongoing interaction, operators are rethinking how loyalty and retention mechanics are delivered across modern gaming platforms.
From Loyalty Programmes to Gamified Experiences
Historically, loyalty programmes followed a relatively straightforward structure: players placed bets, accumulated points, and unlocked rewards over time.
Today, engagement systems are becoming far more interactive and layered.
Challenges, progression systems, tournaments, and leaderboards are increasingly being integrated directly into gameplay, creating more immersive player journeys and additional engagement touchpoints.
Rather than relying solely on periodic rewards, modern gamification systems encourage players to engage continuously through evolving objectives, competitive mechanics, and personalized incentives.
This shift reflects a broader industry trend toward creating engagement ecosystems that feel more immediate, dynamic, and experience-driven.
The Rise of Real-Time Engagement
One of the key drivers behind modern gamification is the growing demand for immediacy.
Digital audiences increasingly expect experiences to react instantly to their behavior, and gaming environments are no exception.
As a result, engagement mechanics are becoming more responsive and personalized:
Instant rewards triggered during gameplay
Dynamic challenges and progression tracking
Personalized notifications and promotional messaging
By responding to player activity in real time, operators can create more continuous engagement loops that encourage longer sessions, repeat visits, and stronger interaction across multiple products.
This approach also allows promotional campaigns to become more integrated within gameplay rather than existing as standalone loyalty features.
Balancing Engagement and Simplicity
As gamification systems become more advanced, maintaining simplicity and transparency becomes increasingly important.
Layered mechanics, multiple reward structures, and progression systems can create richer experiences, but they can also introduce friction if the player journey becomes too complicated.
Players need to clearly understand:
How rewards are earned
What progression means
What value different mechanics provide
When gamification systems become difficult to follow, engagement can lose its effectiveness and begin to feel overly transactional rather than genuinely rewarding.
The challenge for operators is finding the right balance between depth and accessibility — creating experiences that are engaging without becoming overly engineered.
Building Long-Term Player Engagement
Real-time gamification ecosystems are proving to be powerful tools for increasing retention, session duration, and overall player interaction.
By introducing progression systems, competitive mechanics, and instant recognition, operators can create more engaging and rewarding player journeys across both new and existing products.
At the same time, long-term loyalty is not defined solely by the number of features available within a system.
Sustainable engagement depends on how clearly the experience is communicated and how naturally players choose to interact with it over time.
Looking ahead, the future of player engagement will likely be shaped by systems that combine:
Real-time interaction and personalization
Clear and intuitive progression systems
Transparent reward structures
Consistent and accessible user experiences
As the industry continues evolving, successful engagement ecosystems will be those that balance innovation with simplicity — creating experiences players understand, trust, and actively return to over time.


