Why most AI customer service automations fail after deployment
AI automation failures often start after deployment, when workflows, knowledge, handoffs, and measurement fall out of sync. Here’s how to recover without starting over.
Teams | Collaboration | Customer Service | Project Management
Collaborating To Help Teams Work Better In The Modern Workplace
Why healthcare leads industries in AI adoption but still struggles to prove ROI
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.
You Bought AI for Claims. Is It Actually Paying Off?
AI in claims processing is everywhere. Proof of ROI isn't. See what to measure and how process intelligence closes the gap.
What is the Role of AI in Employee Monitoring?
Remember when “checking in” meant stopping by someone’s desk, not logging into surveillance software? Well, that world vanished overnight in 2020. Now, three years after offices emptied, companies face a workforce management crisis they never asked for — how to oversee employees without turning into Big Brother. The numbers show that before COVID hit, about 30% of large employers used monitoring tools. Today, that figure has doubled to 60%.
The Official Slack MCP Plugin | Slack
Your AI Agent can now talk to Slack. The official Slack MCP plugin connects Claude Code and Cursor directly to your workspace. Search channels, read threads, send messages, create canvases, and build Block Kit layouts from the comfort of your terminal.
How AI Teammates gave Ideal Security hours back in operations
Learn how Ideal Security built an AI Teammate to update shipment tracking files, turning 90 minutes of weekly manual work into zero. More from Asana.
How Design Ops built an AI teammate with no engineering lift
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.
Automations in Jira with Cursor | Atlassian
What if every incoming issue could trigger Cursor Agent automatically? With agent automations in Jira, you set a condition, like a specific summary prefix for security issues or improvement requests, and when a matching ticket lands, your chosen coding agent (Jira Coding Agent, Claude, or Cursor) picks it up and gets to work. No manual triage, no delay. Set it once, and your agents do the rest. Watch to see how to wire up agent automations in Jira step by step.
Miro x Endava: Powering Dava.Flow AI-Native Delivery
Miro and Endava have partnered to embed collaborative AI workflows into Dava.Flow, Endava's AI-native delivery model — helping global teams design, align, and deliver complex transformation programmes faster. By deploying Miro enterprise-wide, Endava is strengthening how its teams run workshops, align stakeholders, and hand over work across programmes. Early adoption is already showing measurable improvements in workshop outcomes, stakeholder alignment, and handover quality — with some processes reduced from weeks to days through automated, multi-step AI flows.
AI changes what you can build, but not what you should buy
A developer with the right AI tools can now build in days what used to take a quarter. So a lot of CIOs are asking a fair question: Why buy an enterprise platform when my team can spin something up in a sprint? The answer depends on what you think you’re replacing.