# Top AI voice assistant platforms for workplace automation?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">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.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">While looking at G2's<a class="a a--md" elv="true" href="https://www.g2.com/categories/ai-voice-assistants"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/ai-voice-assistants">AI Voice Assistants category</a>, Otter.ai, Fireflies.ai, and Dialpad Connect surface early. Here's my full list:</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/otter-ai/reviews"><strong>Otter.ai</strong></a> is useful when workplace automation starts with automatically recording, transcribing, summarizing, and turning meetings into follow-up actions people can actually use.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/fireflies-ai/reviews"><strong>Fireflies.ai</strong></a> 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.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/dialpad-connect/reviews"><strong>Dialpad Connect</strong></a> makes sense for teams that want calling, messaging, meetings, transcription, and AI summaries in one communication layer rather than stitching tools together.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/read-ai-read-ai/reviews"><strong>Read AI</strong></a> is worth a look when the goal is not just summaries, but recommendations and productivity signals across meetings, email, and messages.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/kore-ai/reviews"><strong>Kore.AI</strong></a> becomes more relevant when workplace automation includes internal IT, HR, recruiting, or enterprise process automation rather than collaboration alone.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/jotform-ai-agents/reviews"><strong>Jotform AI Agents</strong></a> can work well for internal help, onboarding, or FAQ-style request handling where the assistant needs structured knowledge and quick deployment.</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">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?</p>

##### Post Metadata
- Posted at: 3 months ago
- Net upvotes: 1


## Comments
### Comment 1

On where automation works well for us, it’s mostly for meeting follow-ups and basic internal requests.

##### Comment Metadata
- Posted at: 3 months ago
- Author title: Content Marketing Specialist



### Comment 2

Familiar with Otter and Fireflies here. they transcribe..for like literal voice assistants I think general purpose chatbots are doubling down better as voice assistants IMO

##### Comment Metadata
- Posted at: 3 months ago
- Author title: SaaS and Software Research



### Comment 3

So we tried Read AI for a while, and it was interesting... It didn’t just summarize meetings, it tried to interpret them. The recommendations were useful sometimes, but I guess the real challenge was getting teams to trust and act on those insights consistently.

##### Comment Metadata
- Posted at: 3 months ago
- Author title: Marketing



### Comment 4

Measuring impact has been tricky for us too. We’ve definitely seen faster response times and fewer missed follow-ups, but putting a clear number on the value is harder. A lot of the impact still feels pretty qualitative.

##### Comment Metadata
- Posted at: 3 months ago
- Author title: SEO Content Specialist



### Comment 5

&lt;p&gt;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?&lt;/p&gt;

##### Comment Metadata
- Posted at: 3 months ago





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