AI in Banking: Why Operations Teams Should Start With KYC
AI in banking pays off first in KYC. See why operations teams should start there, what to measure, and where compliance staff keep control.
Teams | Collaboration | Customer Service | Project Management
Collaborating To Help Teams Work Better In The Modern Workplace
Easy Employee Monitoring for Growing Businesses: Fast Setup & Low-Overhead Analytics
The fast-growing company does not have a large IT team, resources dedicated to security, or weeks to deploy an enterprise workforce analytics solution. Despite all this, organizations demand intelligence on how their workforce leverages the tools that they employ, where the bottlenecks lie, and how effective they are at safeguarding the organization’s data. That creates a difficult balancing act.
Is SaaS dead? Zendesk CEO Tom Eggemeier on AI Agents, Outcome-Based Pricing, and more | Human[X]
Is the SaaS apocalypse real, or is software just evolving? In this Human interview, Zendesk CEO Tom Eggemeier discusses how artificial intelligence is transforming customer service, software pricing, and the tech landscape. Tom shares why he believes traditional seat-based pricing is officially dead, how Zendesk is shifting toward outcome-based models and automated resolutions, and what it takes for software companies to survive the AI transition over the next few years.
AI Agent for HR in Microsoft Teams: Setup, Use Cases, and What Employees Experience
Microsoft Teams is already where many employees communicate, meet, share information, and get work done. But HR support often sits somewhere else. An employee may need to search SharePoint for a policy, open the HR portal to check leave, log into another application to submit a request, or message HR because they cannot find the right answer. An HR AI agent in Microsoft Teams can make that experience much simpler.
The AI SDLC transformation playbook
Teams across the industry are sprinting to reinvent their software development processes with agentic AI. Yet, navigating the fast-changing landscape of tools and opinions can be daunting for even the most AI-forward organizations. This guide shares Atlassian’s approach and best practices, informed by our own internal AI SDLC transformation and collaborative learnings from top engineering organizations.
Claude + Miro MCP in Action: AI-Run Strategy Workshops
David Balkind runs strategy workshops without booking a room full of people. As a Specialist Innovation Advisor, David built what he calls a Strategy Café Engine — a setup where Claude, connected directly to his Miro board through MCP, runs full multi-session strategy workshops. Claude plays the facilitator (David calls it MOIRA), works through a structured innovation canvas box by box, and models different stakeholder perspectives — founder, funder, customer — to pressure-test the strategy from every angle. David checks in at key checkpoints while the canvas builds itself live on the board.
AI agent for benefits enrollment: Answering employee questions at scale
“What's the difference between our PPO and HDHP?” “Can I add my spouse?” “How much can I contribute to my HSA?” “When is the deadline?” “Did my enrollment actually go through?” As you see, open enrollment creates a predictable surge of questions for HR.
AI Agent for HR Self-Service: How Employees Get Answers and Take Action Without Contacting HR
Employee self-service was meant to make HR easier. But in many companies, employees still have to jump between portals, policies, forms, and HR systems just to get one simple thing done. Need to check a leave balance? Find the HRIS. Need a benefits answer? Search SharePoint. Need to know whether a request was approved? Open another system or ask HR. That is self-service, but it still puts a lot of work on the employee. An AI agent for HR changes that experience.
Using Asana AI Teammates to stop a $5,000 mistake before it happens
Not just faster...smarter. See how a network of AI Teammates—each with one job, all working together—dropped Washmen's error rate to 0.5% and caught a $5,000 mistake before it ever happened. Chapters.
AI sharpens the individual. Does it dull the room?
Individual AI adoption has outpaced our ability to redesign how teams actually work together. The numbers back it up. In Forrester’s “The Visual Era of Collaborative Intelligence”, 89% of leaders say improving collaboration is key to hitting their organization’s goals – yet 75% agree most AI tools are built for individual, not team productivity, and 39% say that individual-first bias is actively hurting their AI ROI.