Teams | Collaboration | Customer Service | Project Management

Reframe Expert Round-ups bring together some of the leading voices reshaping agency and consulting in the age of AI. Each month we tackle one of the industry’s most charged questions and ask our guest experts to give their honest, unfiltered takes. We aren’t here to give you identical, PR-polished, best practice answers. We’re here to help you navigate the messy middle – including the good, the bad and the ugly.

HR teams are under pressure to support employees faster without turning every question, request, or approval into manual work. Employees want quick answers about leave, payroll, benefits, onboarding, policies, documents, and workplace processes. Managers need guidance on approvals, transfers, onboarding tasks, and employee requests. HR teams, meanwhile, are expected to keep every answer accurate, every workflow compliant, and every sensitive issue routed to the right person.

The best way to get value out of AI is to scale at the team level, but while 85% of workers use AI, only 29% have embedded it into team workflows. The Atlassian Learning Team is in that 29%, and the lessons they’ve learned are a model for teams of all types. They shared three ways teams can start becoming AI native today. The Atlassian Learning Team helps Atlassian app users build skills and confidence with free on-demand courses, dynamic live team training, and app adoption guides for teams.

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.