Teams | Collaboration | Customer Service | Project Management

atlassian

Why better tickets help agents write better code

Aug 9, 2026 By Anand Shastri In Atlassian
A reflection on building an enterprise product using AI agents, and what the data says about how we worked. The observation For the past few months we have been rapidly building an enterprise-wide, production-grade application that helps with employee compensation planning, management and communication. I compared what we built against a traditionally-built product to draw out insights about our new ways of working.
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Nifty: AI Workflow Builder

Aug 6, 2026 By Nifty In Nifty
Describe the work you manage and Nifty builds the project around it: the statuses, the lists, and custom fields already set to the right type. In this video we build a real project from a single sentence, walk through the preview, and change everything before creating it. What's covered Why it is useful Setting up a project usually means renaming columns, adding lists, creating the fields you need, then remembering the one you forgot. This does that part for you, and nothing is committed until you press Create Project. Everything stays editable afterwards.
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miro

From messy discovery notes to a scoped PRD: how Miyagami uses AI Flows to keep context alive across the PDLC

Aug 6, 2026 By Miro In Miro
Alicia Calderon is Design Strategy Lead at Miyagami, a software agency in Amsterdam, where she oversees discovery and design for client projects. In collaboration with their Sales, PM, Design and Delivery teams, she built a Miro template that turns raw discovery sessions into a scoped PRD and product diagram, keeping one source of truth across an AI-heavy product development lifecycle workflow. Here’s how it works, and a template you can clone.
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nifty

When everyone has an agent, alignment becomes the bottleneck

Aug 5, 2026 By Shiv Kapoor In Nifty
Something changed over the last year that most teams have not fully adjusted to yet. A year ago, one person on the team was often “the one using AI.” Today, almost everyone is. Designers have assistants. Engineers use Claude, Cursor, or both. Product teams run research through ChatGPT or Gemini. Marketing teams use AI to draft campaigns, and support teams use it to summarize issues and prepare responses. Individually, people are producing more than they were a year ago.
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atlassian

Rovo Search: Why Rovo is a Leading Enterprise AI Search Tool

Aug 4, 2026 By Alok Jain In Atlassian
TLDR: Key updates: Rovo Search now provides AI-generated answers with citations, routes intent-aware queries in Jira, searches across 50+ connected tools, delivers richer visual results, and is embedded directly in Atlassian workflows. This blog summarizes improvements that have shipped over the past year to Rovo Search. Rovo Search keeps getting better over time! It is now approximately 60% faster than six months ago!
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workativ

Measuring Artificial Intelligence ROI in HR: An Online Leader's Playbook

Aug 4, 2026 By Admin In Workativ
HR leaders are under pressure from two directions at once. Executives want proof that technology investments are generating returns. Employees want experiences that feel faster, more personal, and less frustrating. Meeting both expectations with the same initiative sounds ambitious — but organizations that measure AI impact against clear baselines and business outcomes are better positioned to do exactly that.
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Simpplr

Why healthcare leads industries in AI adoption but still struggles to prove ROI

Aug 4, 2026 By Sylvia Ogweng In Simpplr
Recent Forrester data shows healthcare leads every industry in workplace AI adoption, yet it’s the sector least likely to call that adoption a success. It has moved fast on deployment but still trails on the outcomes leaders care about most: productivity, trust, and measurable ROI.
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atlassian

How Design Ops built an AI teammate with no engineering lift

Jul 31, 2026 By Aaron Booth In Atlassian
Our Design Ops team supports more than 600 designers across Atlassian. And like most operations teams, we were seeing the same pattern over and over again: important questions landing in Slack, manual triage happening in the background, and too much useful knowledge trapped in docs that people either couldn’t find or didn’t have time to read. We built DOT, the Design Org Teammate, to change that.
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