A new opt-in method to let humans and AI collaborate in an agentic era.
Context loss
Every hand-off means the customer repeats themselves, and the AI's understanding of the conversation resets with them.
Queue delays
A full transfer means getting back in line and waiting for the next available representative, even when the AI was seconds from resolving it alone.
Rigid staffing costs
Full escalation means staffing by language and volume peaks, driving up headcount just to cover the moments AI can't.
People on your team, or ours, provide approvals or direction directly to an AI agent in real-time.
Conversations never escalate. The AI agent remains in the driver's seat from beginning to end.
End users don't experience HAR directly, they just enjoy the benefits of a completed conversation.
Human input steps in at the exact moment it's needed, keeping tough or unpredictable interactions on track instead of stalling out.
One person can support several conversations at once, so you get human judgment without human-scale cost.
Customers stay on the same channel the whole time, with no hold, no hand-off, and no repeating themselves.
Unclear user utterance
Complex input
Knowledge gap
Missing action
High-risk scenario
Human judgment required
Speech recognition built for real conditions, not clean rooms. Handle accents, background noise, interruptions, and language switches at the latency a live conversation demands.
Set what your agents can do before they do it. Rule-based functions, channel-level guardrails, built-in PII detection, and enterprise compliance keep actions secure and precise.
See what your agents are actually doing. Containment, effort, and conversation analytics show where interactions succeed and where users get stuck, so you keep improving.
Experience SoundHound
Learn how OASYS AI agents handle your conversations in the real world.
Experience AI agents built around your actual use cases
See how we balance flexibility and reliability
Explore how we deliver outcomes that matter to you
Discuss what support looks like