Player support that survives launch day
AI agents for account recovery, refunds, bug reports and store reviews — running on your own OpenAI or Gemini key, so a ticket surge costs you inference instead of a bigger invoice.
Why game support is its own problem
Generic helpdesk software assumes a steady queue of orders and returns. Games do not work like that. Volume is spiky, the player base is loud and public, and an unanswered ticket becomes a store review that outlives the patch that caused it. The team behind ansvery has run support for games studios for over twelve years, which is why the product is shaped around surges and sentiment rather than order numbers.
Launch day breaks the headcount model
A release or a feature drop multiplies ticket volume for seventy-two hours and then it subsides. You cannot hire for the peak and you cannot justify the idle capacity afterwards, so the queue blows out and review scores follow it down within the same week. AI agents absorb the spike without a hiring cycle, and because ansvery runs on your own AI key there is no per-ticket bill that punishes you precisely when volume triples. The surge costs you inference, not a renegotiated contract.
Most of the queue is four questions
Account recovery, purchase and refund disputes, bug reports, and progress or item loss. They are repetitive, they are high emotion, and they are exactly what a well-grounded AI agent answers well once it has your knowledge base behind it. Elma answers in your game's voice and routes by tone and complexity, so a furious player about to leave a one-star review reaches a human while a routine password reset never touches the queue at all.
Refund conversations are not upsell moments
Support is where revenue is saved or lost, but an offer at the wrong moment reads as contempt. Kai, the upsell agent, reads buying readiness during a conversation and stays silent by default during refunds, chargebacks, bugs, login failures, missing purchases and visible frustration. It only surfaces an offer from your catalogue when the player is actually in a position to want one, which is the difference between a save and a screenshot on social media.
Bug reports should reach engineering intact
A player describes a crash in their own words, a support agent paraphrases it, and the detail that would have reproduced it is gone. Dorin analyses ticket content for patterns and turns recurring reports into product feedback and scheduled reports, so the spike in one device or one build shows up as a trend rather than as forty separate tickets. Wesley can also generate knowledge-base articles straight from your GitHub or GitLab, keeping player-facing docs aligned with what shipped.
Track record
ansvery.io is the product built by the team at ansvery.com, a customer-support company operating since 2012 out of Vilnius. Over that time the team has run support for games and app studios including Game Insight, Kefir Games, Planner 5D, Freeway Games, Afterglow and SketchAr. Those engagements were delivered as a managed support service rather than through this product, and the client list and reviews are published independently on Clutch, where the company holds a 5.0 rating across 13 reviews.
Start cautiously if you want
You do not have to hand the queue to an AI on day one. In Assistant mode the AI drafts every reply and your team approves it before it reaches a player, so you can read a few hundred drafts and judge the tone against your own community before switching anything to autonomous. When you are satisfied, Agent mode lets the AI resolve tickets on its own and pull in a human only when it needs one. Because the free tier has no ticket limit and no subscription, the evaluation costs you nothing beyond the inference you actually use.
More detail in the FAQ and on pricing.