Context, Control, Collaboration: Why Capability Was Never the Bottleneck

Episode notes

The models have never been better - so why do so many companies still struggle to turn AI into real, repeatable value? The answer, Tom Scott argues, isn’t the technology. It’s everything around it: messy workflows, scattered data, no clear governance. Drop even the best tool on top of that and it struggles, and piling on more tools can make things worse, not better. Capability was never the bottleneck. In this episode of Talking AI, Matt Paige sits down with Tom Scott, CEO of Wrike - the intelligent work management platform used by 20,000+ organizations, from NVIDIA to Jaguar Land Rover. Scott came up through finance and operations, including a stint as CFO at Zebra Technologies, so his lens is the operator’s, not the evangelist’s. He’s now steering a 20-year-old SaaS company through its own AI reinvention while watching thousands of customers attempt the same thing. The conversation covers Wrike’s three-part framework - context, control, and collaboration - why context, not capability, is the real bottleneck, and why the collaboration piece is the most underrated of the three.

• More Agents Than Employees: How Zapier Disrupted Itself Before AI Could90 / 100
• 99% Correct Is Still Failure: The Last Mile for Mission-Critical AI62 / 100
• The State of AI 2026 Mid-Year Reality Check
• Past the Productivity Ceiling: Rebuilding the Enterprise from First Principles
• The VC's Lens: How AI Is Rewriting the Rules of Defensibility