Pamela FurstSenior Manager, Customer Success

Jellyfish AI Assistant - The Smarter Way To Turn Engineering Data into Instant, Actionable Insights

Name: Jellyfish AI Assistant - The Smarter Way To Turn Engineering Data into Instant, Actionable Insights
Uploaded: 2026-03-24T17:21:46+00:00
Duration: 1 min 47 s
Channel: Pamela Furst
Description: In this product demonstration, the presenter introduces Jellyfish Assistant, an AI‑driven tool that converts engineering intelligence into immediate…

24 Mar 2026 · 2 min

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1:47

In this product demonstration, the presenter introduces Jellyfish Assistant, an AI‑driven tool that converts engineering intelligence into immediate, actionable guidance for leaders. The demo showcases several core capabilities: identifying at‑risk deliverables with suggested remediation steps; surfacing process blockers and recommending improvements; analyzing AI‑tool adoption to gauge its effect on team productivity; and enabling natural‑language queries across the full Jellyfish data model while maintaining enterprise‑grade security. The presenter walks through a live example of checking delivery risk for a team (Team Calypso), revealing a delayed deliverable and clear action items. The assistant also allows users to revisit past conversations (e.g., a Sprint 1 discussion) and drill down to specific teams or epics for proactive management. Overall, the video emphasizes that the intelligence embedded throughout the Jellyfish platform can be accessed via conversational UI to drive timely decisions.

Chapters

Hi, today I'm super excited to share with you about Jellyfish Assistant. With Jellyfish Assistant, we're not simply adding AI to automate analysis. What we're doing is turning engineering intelligence into something leaders can act on immediately. So as you could see here, Jellyfish Assistant helps provide suggestions for jumping points to really dig in. So one example would be being able to identify at-risk deliverables and review suggested remediation steps. We also have the ability to find process blockers and decide on improvements that we think your organization can benefit from. We also have the ability to look at your AI tool adoption and understand how that really affects the productivity in your team. So let's try one of these out. Let's say I wanted to look at delivery risk, and here I wanted to look at Team Calypso. While Jellyfish Assistant is cooking there, leaders can explore their organization by natural language and receive contextual answers and guidance drawn from the full Jellyfish data model, which also has a foundation in enterprise-grade security that customers have come to expect. So returning back to what Jellyfish Assistant has, what we could see here is that we have one at-risk deliverable that is pretty delayed, and we have a couple clear suggestions that we could take back to our teams to understand what might be going on. I also have the ability to go back and look at past conversations I've had. So let's say I wanted to review this past conversation about Sprint 1. Prints, I could easily do that here and reengage with Jellyfish Assistant. So as you could see, with intelligence built throughout the Jellyfish platform, you can easily drill down to find out what teams and what epics need attention and take action proactively.