Teams | Collaboration | Customer Service | Project Management

Beyond Brainstorming: How AI is Reshaping Innovation Work

When AI can generate ideas on demand, the real work of innovation shifts elsewhere. Idea generation is no longer the constraint. Making sense of ideas, aligning teams, and turning insight into action is. In this session, Colin Duff (CEO of Mosaic Innovation) reframes how innovation work actually happens when AI is part of the system. Drawing on real client examples, he walks through how workflows are evolving across research, synthesis, ideation, and prototyping using Miro-based approaches.

Connect Trello to Your Favorite AI Assistants with Trello MCP

Great ideas can start with a random spark at 2 a.m., grow through a planning session with ChatGPT, or take shape in a brainstorm with Claude. AI helps you plan, but getting that plan into Trello has always been a manual, momentum-killing process. Today, that changes. Trello now uses MCP (a shared standard that lets AI tools talk to apps like Trello) to connect with assistants like Claude, ChatGPT, Gemini, and Cursor. That means you can manage your boards, lists, cards, and checklists just by asking.

What CIOs are buying when they buy enterprise AI

Enterprise AI pilots are stalling in every industry I work with, and the buyers themselves can tell you why. They aren’t buying AI capability. They’re buying organizational trust at scale, with the least possible integration debt. The vendors still selling capability to IT leaders are losing deals to the vendors selling trust.

Inside AI Builders Week: How teams work in the AI era

Each quarter, we ask some of our R&D teams to take a week away from the day-to-day to experiment and innovate on AI. We call this AI Builders Week, and it helps fuel our AI transformation. In past quarters, we’ve focused on building for individual workflows — how do we each get faster and more productive by inserting AI into different parts of our daily to-dos?

Vibe-coded your own dashboard? Here's the part that breaks #Shorts #Dashboards #VibeCoding

Ben Newell, Geckoboard's VP of Product, on why building your own dashboard with an AI agent looks fast until you need to trust the number. AI has no underlying data model, so getting a metric to come back right, and the same every time, is the hard part. Geckoboard has already done that work.

LLM channels: Deliver service inside ChatGPT | What's New

Zendesk now enables businesses to deliver customer support directly within ChatGPT using their company knowledge and processes. Customers can get trusted business answers, complete support tasks like delivery changes, and escalate to human agents when needed — all within the ChatGPT experience. Best of all, every interaction is tracked in Zendesk for unified reporting, governance, and quality assurance so your business has visibility into this emergent channel.

Automate High-Volume Customer Service Emails with AI Agent | CX Quick Wins | Freshdesk

Automate high-volume customer service emails with Freshdesk's AI agent that resolves repetitive queries, maintains context across follow-ups, and escalates only when human intervention is needed. See Freshdesk's Email AI Agent in action. What is an AI agent in customer service? An AI agent is software that independently understands customer queries, retrieves answers from a knowledge base, and responds conversationally, without needing a human agent for every interaction.

AI Readiness Assessment: Where does your organization stand?

Every AI journey starts with knowing where you stand. This video walks through the M-Files AI Readiness Guide, a framework for assessing your organization's current stage and identifying the next steps toward trusted AI. Take the free 5-minute AI Readiness Assessment to see where you land across five maturity stages, from Scattered to Sovereign, and get a personalized roadmap for closing the gaps that matter most.

When AI Is Designing Us Back

The "rationality-based, user-centered approach" has been the gold standard in business, product development, and marketing for decades. But it's hitting its limits — and AI is accelerating that reckoning. In this closing keynote from Canvas 26 Tokyo, Yuichi Inobori, Ph.D. reframes the role of the objects and tools we create in sparking human and organisational creativity, through the lens of Ontological Design. As AI — itself an artifact — weaves itself into the fabric of everyday life, what does creativity truly mean for us now? And how should we design the organisations of the future?