Clients were limited to 9-5 support. Now, natural AI agents handle full voice conversations 24/7, solving global availability.
A business communications platform provider enabling companies to manage and maximize the value of customer interactions.
Clients were restricted to standard 9-5 support hours on weekdays, preventing them from meeting rising expectations for instant, always-on...
“Partnering with ElevenLabs was a natural choice given our standards for voice technology. By combining their high-quality AI voices and ElevenAgents with our integration expertise, we were able to launch AIRO across our entire customer base. This collaboration lets us focus on delivering an intuitive, reliable experience while maintaining a high bar for customer support.”
Cloud communication platform with AI-powered calling, messaging, and CRM integrations.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Ringover's Automated voice support is part of this use case:
Related implementations across industries and use cases
Rigid phone trees forced staff to handle routine calls. Now, AI resolves common queries in 5 languages, freeing humans for complex issues.
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
Missed names and numbers on noisy calls broke workflows. Now, AI accurately transcribes live speech, routing complex cases to humans.
Building custom speech infrastructure risked draining engineering. An API-first voice layer refocused developers on core orchestration.
Missed names and numbers on noisy calls broke workflows. Now, AI accurately transcribes live speech, routing complex cases to humans.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Clients were limited to 9-5 support. Now, natural AI agents handle full voice conversations 24/7, solving global availability.
A business communications platform provider enabling companies to manage and maximize the value of customer interactions.
Clients were restricted to standard 9-5 support hours on weekdays, preventing them from meeting rising expectations for instant, always-on...
“Partnering with ElevenLabs was a natural choice given our standards for voice technology. By combining their high-quality AI voices and ElevenAgents with our integration expertise, we were able to launch AIRO across our entire customer base. This collaboration lets us focus on delivering an intuitive, reliable experience while maintaining a high bar for customer support.”
Cloud communication platform with AI-powered calling, messaging, and CRM integrations.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Ringover's Automated voice support is part of this use case:
Related implementations across industries and use cases
Rigid phone trees forced staff to handle routine calls. Now, AI resolves common queries in 5 languages, freeing humans for complex issues.
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
Missed names and numbers on noisy calls broke workflows. Now, AI accurately transcribes live speech, routing complex cases to humans.
Building custom speech infrastructure risked draining engineering. An API-first voice layer refocused developers on core orchestration.
Missed names and numbers on noisy calls broke workflows. Now, AI accurately transcribes live speech, routing complex cases to humans.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.