
unpacking AI agent pricing: resolution-based vs. conversation-based models
As businesses get serious about AI customer service, they’re asking: How should we be paying for this? And more importantly: What are we actually paying for?
Deliver effortless AI customer service that keeps players engaged, loyal, and ready to play.
Instantly resolve 80% of player inquiries, ensuring seamless engagement and lower costs.
Leverage data to provide tailored support from onboarding to troubleshooting, boosting retention and satisfaction.
Deliver consistent, localized support across all channels, keeping players informed without delay.
“Together with Ada we have been able to be even more available and to provide faster resolution times. We are continuously finding new ways of using Ada to improve the service to our customers.”
Answer questions about leaderboards, events, and promotions automatically.
Make updates, recoveries, and subscription management hassle-free for players.
Help new players dive in with guided setup and clear game instructions.
Provide instant resolutions for technical, security, or responsible gaming concerns.
“Our partnership with Ada ensures a world-class player experience from the initial account setup through to inquiries. Providing all customers with a VIP experience is becoming significantly more important, and allows our players to have the very best personalization technology at their fingertips at all times.”
Enhance your AI agent’s performance with precise feedback to improve future responses.
Use natural language to guide your AI agent to follow your standard operating procedures, no scripts required.
Anticipate player needs and provide timely support to resolve issues before they escalate.
Seamlessly transfer complex inquiries to human agents with full interaction history for faster resolution.
Ensure customer privacy with secure data handling and customizable PII redaction.
“We’re focused on creating the best possible experience for our customers, and that means the tools we use need to be powerful and flexible enough to match our vision.”
As businesses get serious about AI customer service, they’re asking: How should we be paying for this? And more importantly: What are we actually paying for?