New language, new jurisdiction, new traffic peak — without a new hire. A lower cost per contact every month, and, for the first time, an objective measure of how good your support actually is.
Open a new market on Monday — without hiring a support team for it. Installed inside your own infrastructure. Your players' data stays yours.
Built by Viktor Andriichuk — 14 months Staff AI Engineer inside a large European iGaming operator running six brands (3,000+ employees), 50+ AI projects across EU/US/Canada. European Commission AI governance expert.
Works with the desk you already run
We don't replace your helpdesk. We take the queue off it. Your agents keep their tools, their macros and their history.
Framed by how a support desk is actually budgeted — not by AI buzzwords.
Today, entering a market means recruiting native speakers, training them, and covering their night shift before you know whether the market works. PlayerDesk covers the new language from day one — so the market decision stops being a hiring decision.
Most of a Tier-1 queue is the same forty questions, and a desk staffed for peak is paid for at peak all year. Nights, weekends and seasonal spikes are the expensive shifts and the hardest to hire for. PlayerDesk takes the repetitive majority, so your experienced agents keep the cases that need a person — and one more contact stops meaning one more seat.
Today, support quality is a QA lead reading a handful of chats a week and a CSAT score almost nobody fills in. PlayerDesk grades every conversation — human and automated — against your own existing quality protocol, the same scorecard your QA team already uses. Not our definition of good. Yours.
Honest by design: no fictional metrics. Industry benchmarks are cited as benchmarks, targets are labelled as targets, and numbers specific to your operation are only claimed after they have been measured against your own baseline.
Built on production systems, not slides
We're pre-logo by choice. What's above is the production systems PlayerDesk is built on — the kind of proof a client list doesn't give you.
Most operators have tried one. It answers from an FAQ, resolves around a fifth of the queue, and players learn within a week to type "agent" as their first message. The volume reaching your team barely moves — but now it arrives pre-annoyed. You pay twice.
PlayerDesk is a different class of system. It does not point a player at a help article: it checks whether the deposit actually landed, reads the KYC status, explains why the bonus did not trigger, and closes the case. When it cannot — or when the player is someone your business cannot afford to keep waiting — a human picks up with the full conversation already summarised.
Each of them is a reasonable choice for someone. Here is where each one runs out of road.
Pro: Known quantity. Humans handle anything, empathy included, and procurement understands how to buy it.
Gap: Cost scales one-for-one with volume and with every new market. Night and weekend coverage is the expensive shift and the hardest to staff. Attrition means you pay the training cost repeatedly, and quality drifts between the shift you audit and the shift you don't.
Pro: Already inside the tool you pay for. No procurement, no integration project, your agents' workflow doesn't move.
Gap: It is built to answer from your help centre, because that is what it can reach. It has no access to your PAM, so it cannot tell a player whether their withdrawal is pending, whether their documents passed, or why the free spins didn't land — which is most of an iGaming queue. It also knows nothing about which player it is talking to.
Pro: Fast to deploy, broad feature surface, often a familiar brand and a large customer list.
Gap: No iGaming built in. Bonus terms, wagering requirements, KYC and AML flows, responsible-gambling language, jurisdiction rules and what makes a player valuable are all things it has to be taught — by you, as configuration. And headline automation rates are rarely published with a definition: ask how the rate is calculated and what the human baseline was.
Pro: Maximum control. Tailored to your PAM, your jurisdictions, your tone of voice, and nothing leaves your building.
Gap: A demo takes a fortnight; a system your compliance team will sign off takes 12–18 months. Then it needs permanent ML and platform payroll to keep it from decaying. You are building infrastructure while the markets you wanted it for are being taken.
No AI or data team in-house? Start here →
One answers your players. One measures how well it — and your team — did it. One finds the players worth more than the ticket they opened.
Answers the routine majority, 24/7, in 20+ languages.
Grades every conversation against your own quality protocol.
Protects the VIPs you know. Finds the ones you don't yet.
Not a fourth product — the same three systems, answering calls.
It is the first question we get, and it deserves a precise answer rather than a reassuring one.
Your player database, your event stream, your chat history and your audit log stay exactly where they are today. Nothing is copied to Arctura. We operate no player database and hold no copy of your book — there is no "our servers" for your players to end up on.
A redaction pass replaces player ID, name, email, phone, document and card numbers with tokens before a request goes anywhere. The language model sees a case, not a person. Your own systems re-attach the identity on the way back, and that mapping never leaves you.
Requests are not stored after the response and are never used to train models. Every sub-processor is named in the DPA, with its region and its role. Where a jurisdiction requires a specific provider — or a fully self-hosted model — PlayerDesk runs that way too.
Every request carries a full trace: what was sent, what was redacted, which endpoint answered, and what came back. Nothing about the data path is something you have to take on trust.
The full data & security brief → Reference architecture for your CTO →
We'd rather answer them once, clearly, than hide them under marketing copy.
It stays with you. PlayerDesk is installed inside your infrastructure; we hold no copy of your player base. Identifiers are tokenised before any request leaves your perimeter, the model runs in the EU with zero retention, and every request is traceable in a log your DPO can read. The full data path →
No. PlayerDesk sits behind LiveChat, Zendesk, Intercom, Freshdesk or your in-house desk. Your agents keep their tools, their macros and their history. What changes is how much of the queue reaches them.
It stops being a call centre. The repetitive majority goes to the agent; your people take VIPs, complaints, compliance-sensitive cases and the escalations that need judgement. Most operators redeploy rather than cut — the same team covers more markets and more volume without growing.
Shadow mode first, then one topic at a time. The agent runs alongside your team on live traffic, suggesting without sending, until per-topic accuracy clears a threshold you set. Topics are released individually. Low confidence, RG language or a VIP always routes to a human.
Not with CSAT. Quality is scored against your own existing QA protocol — the scorecard your team already uses — applied to every conversation, human and automated alike. The labelled baseline stays with you as a regression test that doesn't age. How we prove it works →
6–8 weeks, not 6–12 months. Ready connectors for the major helpdesks, PAMs, payment rails and telephony. No new data warehouse, no rip-and-replace. We already run two PAMs — IqSoft and EveryMatrix — for one operator through a single core, with two adapter sets and no duplicated logic.
We're at the stage where every client is a partner, not an account. We co-develop PlayerDesk's first production releases with a small cohort. In exchange:
We keep the IP on the AI core. You keep your data, your customizations, and your commercial results.
Four reasons we move the needle where horizontal AI vendors don't.
Bonus terms, wagering, KYC and AML flows, player LTV, RG language (UK, SE, NL, MGA) — modelled in, not configured in afterwards.
Every component traces to a real system that ran at operator scale — 100K+ messages a month today, the QA layer shipped inside a large European iGaming operator running six brands.
In production: IqSoft, EveryMatrix (PAM); LiveChat, Zendesk, Intercom, Freshdesk (desk); Twilio / Vonage / SIP (voice). Designed / on request: SoftSwiss, Pragmatic, Playtech; custom adapters for in-house.
Registered in Romania, EU AI Act-aware. Deployed inside your infrastructure, with identifiers tokenised before anything leaves it.
Viktor Andriichuk founded Arctura after 14 months as Staff AI Engineer inside a large European iGaming operator running six brands — one of the largest iGaming groups in Europe (3,000+ employees) — where he built the production AI systems for support quality, fraud, retention and RG compliance. Earlier: AI engineering at PepsiCo, Deloitte, Health Union. 50+ AI projects across EU, US, Canada. European Commission AI governance expert.
"In iGaming every accuracy point is real money and real compliance risk. The commercial team doesn't care how clever the model is — they care whether the cost per contact goes down and the players stay. That's the only scoreboard."LinkedIn →
30 minutes. No pitch deck. We look at your chat volume, your shift structure, your languages and your escalation rules, and tell you honestly how much of it PlayerDesk can take — and how much it can't.
Or write directly: hello@arctura.eu
Written to work against us too. If we can't answer these twelve, you shouldn't buy from us either.