AI Voice Assistants Resources
Discussions and Reports to expand your knowledge on AI Voice Assistants
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find discussions from users like you and reports from industry data.
AI Voice Assistants Discussions
We are trying to find the top AI voice assistant platforms for workplace automation. Based on the G2 reviews we saw, what teams usually underestimate here is that some tools are great at capturing work already happening, while others are better at executing or routing work on behalf of employees. That distinction matters a lot once you move beyond meeting notes and start looking for repeatable operational lift.
While looking at G2's AI Voice Assistants category, Otter.ai, Fireflies.ai, and Dialpad Connect surface early. Here's my full list:
- Otter.ai is useful when workplace automation starts with automatically recording, transcribing, summarizing, and turning meetings into follow-up actions people can actually use.
- Fireflies.ai stands out when teams want meetings to feed directly into search, collaboration tools, CRM records, and ongoing workflow analysis instead of sitting as isolated notes.
- Dialpad Connect makes sense for teams that want calling, messaging, meetings, transcription, and AI summaries in one communication layer rather than stitching tools together.
- Read AI is worth a look when the goal is not just summaries, but recommendations and productivity signals across meetings, email, and messages.
- Kore.AI becomes more relevant when workplace automation includes internal IT, HR, recruiting, or enterprise process automation rather than collaboration alone.
- Jotform AI Agents can work well for internal help, onboarding, or FAQ-style request handling where the assistant needs structured knowledge and quick deployment.
For people who’ve implemented these tools, where has workplace automation actually stuck: meeting follow-up, internal self-service, communication cleanup, or process automation? And where do employees still fall back to manual work?
I’m also curious how teams are measuring impact with these tools. Are you actually seeing improvements in turnaround time or fewer missed follow-ups, or does most of the value stay qualitative rather than clearly measurable?