Teams | Collaboration | Customer Service | Project Management

AI spend is rising; measurable returns aren’t. Here’s what a CFO should know about auditing AI ROI and tracking true AI transformation.

In healthcare, finance, and legal work, AI use must be sanctioned, traceable, and reviewable. See how to approach auditing AI in regulated workflows.

Shadow AI is the unsanctioned use of AI tools at work. Learn what drives it, why bans backfire, and how to audit it without losing the upside.

Most AI rollouts scale faster than the workflows beneath them. Use this 7-step AI adoption framework for enterprises to audit absorption, risk, and ROI.

The biggest productivity trends 2026 are AI-driven automation, outcome-based performance tracking, fully remote work outperforming hybrid and office models on engagement, and a sharp focus on reducing meeting overload and after-hours messaging. This guide covers exactly what is changing: Every trend below is backed by current research from Gallup, Microsoft, McKinsey, and industry workplace studies.

I've spent the better part of a decade inside professional services operations. First running delivery at agencies, then joining Teamwork.com to help people learn about the platform I wished I'd had. The pattern I kept hitting was the same: a CRM held the client record, a spreadsheet tracked the budget, and a project tool held the tasks. None of them talked to each other. Every Monday morning started with a frantic reconciliation ritual that ate hours and still left blind spots.

I spent the better part of a decade juggling client projects across spreadsheets, email threads, and at least three tools that never talked to each other. One Monday morning I realized I'd burned two hours just pulling together a status update for a single account. That was the moment I knew the tools were the problem, not the process.

Built on Anthropic’s Claude Managed Agents infrastructure, Claude Agent for Jira lets you assign work items directly to Claude. Your agent’s work now sits in Jira alongside everything else: tracked in your project, visible in workflows, and connected to the goals it’s helping ship. The agent automatically processes the work item context, implements the required changes in a secure sandbox, and opens a draft pull request for your review.

Tracking token usage won’t help you understand where AI is adding to bottom-line results. Move toward true agentic implementation by measuring what matters.