Meet the real-time AI guidance for your agents
Supercharge your support and sales teams with AI that listens, understands emotion and tone, and helps deliver faster, smarter, more human interactions.
Why real-time guidance matters
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Turn every conversation into a win
Customer interactions often happen under time pressure, with high volume and emotional complexity. Agent Assist surfaces context, emotional cues, and response guidance giving agents the clarity and confidence to respond with empathy and precision.
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Scale human-quality support without adding headcount
Whether it’s a growing support desk or scaling sales outreach, Agent Assist keeps quality high and headcount efficient. AI-giuded agents maintain consistency and adhere to best practices.
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Deliver emotional intelligence at scale
Traditional tools might let you transcribe or sentiment-analyze conversations. With Agent Assist + Valence’s emotion AI infrastructure, you get nuanced context and actionable insights that drive better outcomes from customer satisfaction to conversion rates.
Listens to the customer’s tone and emotion
The system detects frustration, confusion, confidence, or relief as the customer speaks.
Surfaces what the agent needs to know
Key context, caller intent, emotional cues, and prior interaction history appear automatically – no digging, no searching.
Suggests the next best move
Clear, context-aware guidance helps agents de-escalate, ask the right question, or navigate complex flows with confidence.
Keeps the conversation on track
As emotions shift, suggestions update – helping the agent maintain control, pace, and clarity throughout the call.
Wraps the call for them
Automatic summaries, key points, and follow-up steps are generated as soon as the call ends.
Capabilities that transform your agent’s performance
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Real-time tone
and emotion detection
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25.475 17.881 25.475 19.473 C 25.475 21.064 24.843 22.59 23.717 23.715 C 22.592 24.84 21.066 25.473 19.475 25.473 C 17.883 25.473 16.357 24.84 15.232 23.715 C 14.107 22.59 13.475 21.064 13.475 19.473 C 13.475 17.881 14.107 16.355 15.232 15.23 C 16.357 14.105 17.883 13.473 19.475 13.473 Z" fill="rgb(90, 65, 252)" height="38.947629339094654px" id="jhKbEELth" transform="translate(4.525 4.527)" width="38.94765860331118px"/></g></svg>)
Workflow alignment with your existing support stack
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Context-aware suggestions and prompts
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43.896 L 29.358 43.752 C 29.241 43.726 29.123 43.699 29.006 43.672 L 28.274 43.484 L 27.504 43.264 L 26.7 43.004 C 23.008 41.752 18.322 39.292 13.514 34.484 C 8.708 29.678 6.248 24.992 4.996 21.3 L 4.736 20.496 L 4.516 19.726 L 4.328 18.994 L 4.172 18.302 C 4.127 18.085 4.085 17.868 4.046 17.65 L 3.946 17.04 L 3.866 16.478 L 3.808 15.962 L 3.768 15.496 L 3.736 14.896 C 3.574 10.504 6.936 6.238 10.824 4.572 C 11.292 4.37 11.804 4.293 12.311 4.349 C 12.818 4.404 13.301 4.591 13.714 4.89 Z M 29.984 12.08 L 30.216 12.106 C 31.672 12.363 33.009 13.074 34.036 14.137 C 35.063 15.201 35.726 16.562 35.932 18.026 C 36.005 18.532 35.882 19.047 35.587 19.465 C 35.292 19.884 34.848 20.173 34.346 20.273 C 33.845 20.374 33.323 20.279 32.89 20.007 C 32.457 19.735 32.144 19.307 32.016 18.812 L 31.97 18.582 C 31.89 18.008 31.645 17.47 31.265 17.032 C 30.885 16.595 30.387 16.276 29.83 16.116 L 29.52 16.046 C 29.018 15.957 28.569 15.679 28.264 15.27 C 27.96 14.861 27.823 14.351 27.883 13.844 C 27.942 13.338 28.192 12.873 28.583 12.545 C 28.974 12.217 29.475 12.051 29.984 12.08 Z M 30 6 C 33.183 6 36.235 7.264 38.485 9.515 C 40.736 11.765 42 14.817 42 18 C 41.999 18.51 41.804 19 41.454 19.371 C 41.104 19.741 40.626 19.964 40.117 19.994 C 39.608 20.024 39.107 19.859 38.716 19.531 C 38.325 19.204 38.074 18.74 38.014 18.234 L 38 18 C 38.001 15.969 37.229 14.013 35.84 12.531 C 34.452 11.048 32.551 10.15 30.524 10.018 L 30 10 C 29.47 10 28.961 9.789 28.586 9.414 C 28.211 9.039 28 8.53 28 8 C 28 7.47 28.211 6.961 28.586 6.586 C 28.961 6.211 29.47 6 30 6 Z" fill="transparent" height="48px" id="M1mBXklEC" width="48px"><path d="M 0 48 L 0 0 L 48 0 L 48 48 Z" fill="transparent" height="48px" id="dOR03OMZ0" width="48px"/><path d="M 9.984 0.559 C 12.27 2.225 14.05 4.499 15.57 6.675 L 16.454 7.963 L 17.288 9.193 C 17.705 9.802 17.883 10.544 17.789 11.276 C 17.694 12.009 17.334 12.681 16.776 13.165 L 12.874 16.063 C 12.685 16.199 12.552 16.399 12.5 16.626 C 12.448 16.852 12.48 17.09 12.59 17.295 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0.039 8.074 -0.038 8.581 0.018 C 9.087 0.073 9.571 0.26 9.984 0.559 Z M 26.254 7.749 L 26.486 7.775 C 27.941 8.032 29.279 8.743 30.305 9.806 C 31.332 10.87 31.996 12.231 32.202 13.695 C 32.275 14.201 32.151 14.716 31.856 15.134 C 31.561 15.553 31.117 15.842 30.616 15.942 C 30.114 16.043 29.593 15.948 29.16 15.676 C 28.726 15.404 28.413 14.976 28.286 14.481 L 28.24 14.251 C 28.159 13.677 27.914 13.139 27.535 12.701 C 27.155 12.264 26.656 11.945 26.1 11.785 L 25.79 11.715 C 25.287 11.626 24.838 11.348 24.534 10.939 C 24.229 10.53 24.093 10.02 24.152 9.513 C 24.212 9.007 24.462 8.542 24.853 8.214 C 25.243 7.886 25.744 7.72 26.254 7.749 Z M 26.27 1.669 C 29.452 1.669 32.504 2.933 34.755 5.184 C 37.005 7.434 38.27 10.486 38.27 13.669 C 38.269 14.179 38.074 14.669 37.724 15.04 C 37.374 15.41 36.896 15.633 36.387 15.663 C 35.878 15.693 35.377 15.528 34.986 15.2 C 34.595 14.873 34.344 14.409 34.284 13.903 L 34.27 13.669 C 34.27 11.638 33.498 9.682 32.11 8.2 C 30.721 6.717 28.821 5.819 26.794 5.687 L 26.27 5.669 C 25.739 5.669 25.231 5.458 24.855 5.083 C 24.48 4.708 24.27 4.199 24.27 3.669 C 24.27 3.138 24.48 2.63 24.855 2.255 C 25.231 1.88 25.739 1.669 26.27 1.669 Z" fill="rgb(90, 65, 252)" height="39.94052845539999px" id="i1RQCmc69" transform="translate(3.73 4.331)" width="39.929982175126874px"/></g></svg>)
In-call guidance to reduce errors and escalations
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Live summaries
and wrap-up notes
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Performance insights across agents and teams
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Real-time escalation and recovery detection
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Agent coaching signals and QA automation
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