Most organisations are still treating AI as a chatbot or productivity layer. In this episode, Andrew Gaule and Josh Lawman discuss why that mindset is too limited, and what leaders should do instead.
They explore where companies are under leveraging AI, why expert heuristics still matter, how to make organisations more legible to AI, and what practical implementation looks like in financial analysis, bookings, customer interaction, and investment workflows.

Chapters
00:00 Introduction
02:12 Where organisations really are with AI
06:02 Why Copilot is not enough
07:04 Financial analysis and expert heuristics
12:17 Bookings, missed calls, and AI in operations
17:31 Education, leadership, and implementation
19:15 AI for investment screening and support
24:27 Agents talking to agents
33:19 AI hype versus the dot com era
39:40 Oxtech Week and closing thoughts

If you are leading AI strategy or implementation, share the one workflow in your organisation that should be redesigned first.

Carolyn Hicks shares the Brill Power journey from early university IP through grants, fundraising, product development, corporate engagement, and acquisition integration. Practical lessons for founders building in complex B2B and hardware-heavy markets.

Chapters
00:00 Intro and background
01:00 How Brill Power started
02:00 The technology and early IP
07:00 Grants, pitch events, and early traction
09:40 First meaningful investment and investor fit
17:10 Scaling products, hiring, and manufacturing
20:20 Corporate partnering, decision makers, and IP risk
24:20 Acquisition and integration
27:00 Gender, confidence, and founder communication

If you are building deep tech in a regulated or complex market, message Andrew Gaule for a discussion on your experiences.

In this episode, Andrew Gaule (linkedin.com/in/andrew-gaule-aimava) speaks with Piers Linney about how organisations can deploy AI workers and agents in a governed, measurable way. The discussion moves beyond productivity tools into the reality of implementation, ownership, integrations, and risk controls.

Chapters:
00:00 Intro and Piers’ background
02:00 Why AI adoption is hard in real organisations
05:00 AI workers, agent teams, and integrations
10:30 Reactivation, out of hours revenue, and mystery shopping
14:40 Jobs concern and redeployment reality
23:40 Think big, start small, Lens then Action
28:10 Ownership, governance, and who decides
30:15 Why AI speed changes the competitive set
31:15 Robotics and what is coming next

If you want to lead change, contact Andrew to discuss a “Lens then Action” pilot.
To book a meeting to discuss where we can add value https://calendly.com/andrew-gaule/15min