Rho cut weekly meeting time by 90% with Perplexity Computer. Computer checks Slack, Notion, Jira, Figma, and Google Docs, then flags missing tasks and changes the team needs to see. 120 work hours saved during a 12-week project. Read the customer story: https://lnkd.in/gcRNvxgH
Annonex AI
1w
This is where AI-powered operational intelligence becomes truly valuable. Reducing unnecessary meetings by 90% is not just about saving time, it’s about improving execution, visibility, and decision-making across workflows. The real advantage comes when AI can surface priorities, detect bottlenecks, and help teams focus on meaningful actions instead of manual coordination. The future of operations will be driven by intelligent workflow orchestration combined with human oversight.
Eric Marcano
1w
Look, cutting weekly meeting time by 90% using automated search tools is a phenomenal internal optimization metric, but it highlights a massive tactical trap. If the freed-up hours are not systematically reallocated into high-velocity pipeline actions or CRM data governance, you simply created a localized vacuum that does absolutely nothing to move the macro revenue needle. Efficiency is just an expensive illusion if it fails to improve actual sales cycle velocity. True scaling happens when you replace meetings with unaligned automated workflows that systematically accelerate revenue, not just calendar whitespace.
Thank you for sharing a great case study. As a BI consulting and MCP Server product development organisation, we have always wanted to explore the capabilities of LLMs to expand our horizons.
Jared Hutchins
12h
Let’s be real, most meetings could be emails. Verbally talking about business needs is great when targeted and precise, but most meetings I’ve attended over the years are meant to put people’s feet to the fire rather than team build. On top of that, nobody takes notes anymore, so we end up relying on the AI-generated transcript anyway which could have just been the body of the email.
VangaVault
1w
The 90% meeting reduction is less significant than what it reveals structurally. Most status meetings exist because information is fragmented across disconnected systems—not because coordination is inherently time-intensive. When an AI layer connects Slack, Notion, Jira, Figma, and Docs and surfaces gaps automatically, it eliminates the meeting's actual function. That's not productivity improvement; it's operating model redesign at the workflow level.
what are the costs? stop showing the good sides to approve a product half or maybe a niche market needed.. everything you do can be automated with agents. What are the benefits, token costs, the amount of garbage data produced..
TalkLab AI
1w
Turning data into management information is a good thing, so long as it is useful. That said, meetings aren't just about data outputs. There are many critical conversations that happen during the meeting process. The essence of these conversations can't be easily captured by meeting summaries. We're working on tools to help management better understand the essence of these key conversations.
Cybernorse
1w
This is a powerful real-world example of how AI agents can move beyond chat and drive tangible operational efficiency. By cutting weekly meeting time by 90% and saving 120 work hours, Rho demonstrates that the real value lies in automating cross-platform coordination. This is exactly what modern enterprise AI should deliver reducing the "tax" of information gathering so teams can focus on execution. #Cybernorse
Most people will read this as an "AI killed the meeting" story. Wrong lesson. The meeting was never the problem. Project information sat across six tools, with no one paid to reconcile it. The AI did not replace a person. It did work; no one had time to do it. Build the thing people open. The clever capability is not the point. What number is your AI tool actually being judged on?