Gaining altitude: how AI native teams compound advantage

Most organisations have access to AI tools. Very few are seeing measurable returns. In this session, Ryan Lock and Henry Kirkness from Planes (a London-based digital product studio) walk through why that gap exists and how to businesses can move towards becoming AI native. The session covers Planes' mental model for getting value from AI in any organisation: memory, workflows, and judgment. -- MEMORY Memory is everything a business knows: its data, context, decisions, and institutional knowledge. Most of it is scattered across tools, filed away, or lost when people leave. Planes built Roger, an internal AI project brain, to compile and surface that context across Slack, Linear, and meeting notes. This section covers how Roger works, how it manages memory over time, and what a memory layer looks like in practice. WORKFLOWS Workflows are what a business does with what it knows. This section covers how to map existing workflows, identify where AI can assist or automate, and how to experiment without losing sight of the bigger picture. Includes a live demo of a PostHog-to-Linear ticket workflow built using Claude skills. JUDGEMENT This section covers the difference between judgment you can encode as rules and guardrails, judgment you deliberately reserve, and how better memory sharpens the human calls that remain. The session also includes a case study of an AI-powered negotiation platform, and closes with practical guidance on where to start. TOPICS COVERED: → Why 95% of enterprises report no measurable P&L return from AI → The memory, workflows, and judgment framework → How Planes built Roger, their internal AI project brain → Claude skills and plugin marketplaces for scaling AI across teams → AI-assisted software development and self-maintaining workflows → When and how to keep humans in the loop → Where to start if your organisation is using AI tools but not seeing organisational change www.planes.studio | hey@planes.agency