NetSuite now embeds AI across the suite — assisting on the manual work, advising on the decisions. For an iGaming operator the prize is bigger: AI that optimises pricing and promotions by market, game and partner. But that only works if the underlying revenue data exists in usable, auditable form. Today, for most operators, it doesn't. That's the gap we close.
NetSuite's AI runs in two modes — automating well-defined finance tasks, and surfacing insight from data held across the whole suite. The parts that matter most for a finance team:
Generative AI across 200+ NetSuite fields — draft, shorten, refine and translate into 22 languages, using the data already on the record. Less time on repetitive writing, more consistent communication.
A low/no-code environment to build, test and deploy your own AI prompts — controlling format, tone and creativity, wired to your NetSuite data. No developer required.
AI that continuously scans financial data, flags anomalies and recommends corrective action — catching the journal or reconciliation issue before it reaches the close.
Intelligent Performance Management in NetSuite Planning & Budgeting monitors plans, forecasts and variances, highlighting trends, biases and anomalies so finance acts on them sooner.
AI turns financial and transactional data into narratives, explanations and visuals, while SuiteAnalytics surfaces patterns across the suite in real time — numbers that tell their own story.
The N/llm module calls OCI-hosted models from SuiteScript 2.1, so bespoke AI can be built directly into NetSuite workflows — the same native approach we use to build the engine.
Here's the honest part first: AI inside the ERP is genuinely useful, but it only works on the data you give it. NetSuite's structural advantage is that the data is unified — finance, operations, the lot, in one place rather than scattered across systems that need constant syncing and normalising. For iGaming, though, that advantage is only real if the iGaming-specific revenue data is actually there. And usually it isn't.
Today the move from GGR to NGR to revenue is a guessing game. The CFO looks at revenue and COGS; the commercial team — who decide what actually drives revenue — have no data to work with. Point any AI model at that and it has nothing to optimise: there's no clean, granular, by-market, by-game, by-partner revenue data for it to learn from. AI can segment pricing and target promotions at a level of detail no human could manage by hand, but only if that data exists, high-detail and auditable. Most of the value of AI in iGaming commercial is gated behind a data problem, not a model problem.
That's what the Revenue Share Engine does. It produces the data that didn't exist before — revenue and profitability by country, game, game type and partner, every figure traced back to source and fully audited. That is precisely the foundation AI needs: complete, consistent, granular and trustworthy. Build the data layer first, and NetSuite's own AI — and whatever you choose to run on top of it — finally has something worth analysing.
One caveat we'd insist on as a partner: AI augments a finance team, it doesn't replace its judgment. A model will happily extend a revenue trend straight through the month a market reregulates or a duty rate jumps. Knowing the output is wrong takes iGaming-finance expertise the model doesn't have — and that's the expertise we bring to the way the system is configured.
NetSuite's AI Connector Service exposes your account over the open Model Context Protocol (MCP) — the standard interface modern AI assistants speak. Connect the model you choose and work with NetSuite in plain language.
An OAuth-secured MCP server built into NetSuite. Ask questions, run reports and saved searches, even create and update records — in natural language, through the assistant you already use.
Bring your own AI: Anthropic's Claude connects natively over MCP; ChatGPT and other MCP-capable agents work too. No lock-in to one vendor's model.
The AI only sees what your NetSuite role permits — no direct database access. Every request runs through the same permissions and audit trail as a human user.
This is where it comes together. The Revenue Share Engine produces the granular, auditable revenue data — by market, game, game type and partner. The connector lets your commercial and finance teams interrogate it conversationally: "which markets were most profitable last quarter?", "what's our revenue-share exposure if NGR drops 10%?", "explain the variance on this partner's statement." The model answers from real, permissioned, traceable data — not a guess. It's the same direction NetSuite itself is taking with NetSuite Next and its conversational Ask Oracle companion and agentic workflows: less navigating, more asking. But the assistant is still only as good as the data underneath it — which is the whole point of getting the engine in first.
A short call on where your GGR→NGR→revenue data lives today, and what AI could do with it once it's clean, granular and auditable. We'll show what AI-ready iGaming data looks like on NetSuite.
Independent, objective advice. We reply within one business day.