In this article, Flows explores why execution, not experimentation, will define the next phase of AI in iGaming
AI is appearing across almost every part of the iGaming technology stack, but adding an assistant to an existing platform is not the same as changing how a business operates.
The real shift will come when AI stops being a feature on a roadmap and starts being a reliable way to get ideas live. Flows recently launched Flo, its conversational AI layer built specifically for iGaming.
Flow allows users to describe what they want to build, improve or automate, and Flo asks follow-up questions, recommends the right approach and helps turn the chosen solution into something that can be executed through Flows.
Daniel de Souza, VP Commercial at Flows, explains what makes this different from general AI, why orchestration is essential and why the next phase of adoption will be defined by what AI can help businesses put into action.
1. From your conversations with operators and suppliers, how is the discussion around AI changing?
The conversation has shifted from “where can we add AI?” to “what can it actually help us achieve?” Operators and suppliers have experimented with tools that generate content, summarise information or answer questions, but the real focus now is how AI can sit inside the engine room, shaping how they build, make decisions and operate. A lot of the first wave has been about proving that AI can do something. The next wave is about proving that it can do something useful, repeatedly, inside a business that already has complex systems and constraints.
That is an important distinction because adoption and implementation are not the same thing. It’s easy to bolt an AI assistant onto a platform or introduce another model. The harder and more valuable step is giving AI the industry context and operational reach to work across the technology a business already uses. That is where we believe the combination of Flo and the Flows orchestration engine creates something different.
2. What separates a useful AI feature from AI that can create meaningful operational value?
A useful AI feature can generate content, give advice or help someone find information more quickly. But meaningful operational value only shows up when AI understands what the business is trying to achieve and can help turn that intent into action.
Flo has been built specifically around iGaming use cases across areas including product, operations, compliance, responsible gambling, player engagement and marketing. Instead of just providing a response for someone else to interpret, it asks follow-up questions, recommends possible approaches and allows the user to decide how to proceed before building the chosen solution through Flows. That is the difference between receiving an AI-generated answer and using AI to create something the business can actually put into operation across the wider business.
If AI can’t improve an outcome or change how work gets done, it’s just another clever tool in someone’s browser tab.
3. Why is moving from an idea to execution still such a challenge for iGaming businesses?
The biggest challenge in iGaming isn’t coming up with ideas. It’s the distance between having an idea and getting it live. Businesses want to improve retention, launch a new player journey or create an engagement product, but those concepts have to be translated into requirements, aligned across different functions and pushed through technical dependencies, approvals and testing before reaching the player. Most operators know this pain: great ideas that never make it beyond the slides.
Flo changes the starting point by letting a business begin with the outcome it wants rather than a completed technical brief. It asks the questions needed to shape the idea, recommends how it could work and prepares it for execution through Flows. This reduces the time spent repeatedly translating an idea before anything can be built, which is often where momentum is lost.
4. What role does orchestration play in turning AI recommendations into action?
Orchestration is what gives AI an environment where it can do more than offer advice. Flows already connects systems, coordinates data and executes actions across an operator’s existing technology, processing more than 600 million real-time events every day.
Flo brings intelligence directly into this operational layer. It helps the user understand what should be built and shape the right approach, while the Flows engine coordinates the systems, conditions and actions needed to make it work.
Without that orchestration layer, AI remains outside the operation. Someone still has to take its recommendation, translate it into a defined process and manually build everything. That’s why so many AI initiatives end up as reports and suggestions rather than changes in how journeys actually run. Flo was designed to close that gap.
5. How can businesses gain speed without losing control in a regulated industry?
In a regulated industry, speed and control are often treated as opposing goals. But, they don’t have to be. If approvals, operational rules and compliance requirements are built in from the start, businesses can act faster without weakening the oversight that regulated decisions require.
Within Flows, approval stages, decision points, escalations and records of what happened can form part of the orchestration itself. Flo can help shape and build the process, but the business determines what should happen automatically, where approval is needed and which decisions remain with people.
The aim is not to remove human judgement, but to make sure it is applied at the right moment, with the right context and relevant information, so decisions can be made faster and with greater confidence.
6. What opportunities does this create for iGaming suppliers as well as operators?
Suppliers face a similar challenge to operators. They may have valuable products, services and data, but turning those into new use cases or connecting them with the wider operator environment can still require considerable technical work.
Flo can help a supplier shape how its capabilities could be used within a new product or operational process, while Flows provides the orchestration needed to connect that solution with the other technology involved. In practice, this gives suppliers more ways to extend the value of what they already provide, without every new operator requirement becoming a separate development project.
7. What should iGaming businesses be asking when evaluating AI capabilities?
The most important question is what happens after the AI provides an answer. Does it understand the specific iGaming context? Can it ask the questions needed to shape the right solution? Can it work across the relevant technology and data? Can it build and execute the chosen approach, and what controls remain with the business?
If the answer to most of those questions is “no”, then the AI is unlikely to change how the business operates. It remains another feature rather than becoming part of how the business executes.
From insight to execution
The direction of travel is becoming clearer.
AI in iGaming is moving beyond experimentation and isolated features toward something more embedded within how businesses operate. The value is no longer in what AI can generate, but in what it can help deliver.
For operators and suppliers, this changes the evaluation criteria. It is no longer enough for AI to provide answers or suggestions. The real question is whether it can help move ideas into production, within the constraints of existing systems, regulatory requirements, and operational processes.
This is where orchestration becomes central.
By combining conversational intelligence with an execution layer that can coordinate systems, data, and decision-making, platforms such as Flows are positioning AI as part of the operational fabric rather than an external tool.
The result is a shift in how work gets done.
Ideas can be shaped faster. Processes can be built with greater clarity. Decisions can be made with more context. Most importantly, businesses can reduce the distance between concept and delivery, which has traditionally been one of the biggest barriers to innovation in iGaming.
As the industry continues to explore the role of AI, the next phase will not be defined by how many tools are introduced, but by how effectively they are used to create real, measurable outcomes.
For operators and suppliers looking to better understand how solutions like Flows fit into their technology stack, or to explore similar capabilities across the market, NYCE can facilitate introductions and further discussion.
For enquiries, please contact sales@nyceint.com.
Explore Flows in the NYCE Product Marketplace, or contact NYCE to discuss an introduction.
Originally published in the NYCE Marketplace section on Yogonet on July 31, 2026.