GenAI in Financial Services: From grassroot pilots to scaled customer impact | Rasmus Lindegaard

June 19, 2025

Rasmus Risager Lindegaard, former Head of Product, Plans & AI Projects at Lunar and now CEO and co-founder of Avido, shares the inside story of how Lunar scaled generative AI—from a grassroots side project to a live AI assistant helping customers manage their money better.

In this episode, Rasmus walks us through:

• How a developer-led experiment sparked Lunar’s GenAI journey
• Why cultural agility and tech-first thinking gave Lunar an early AI edge
• Building and launching an AI banking assistant from scratch
• Managing compliance, legal, and risk in a highly regulated banking industry
• Lessons from pilot purgatory and the real blockers to AI adoption in big banks
• How Avido now helps companies test, stress, and scale GenAI systems with confidence

Timestamps:

00:00 Introduction to Rasmus and his AI journey at Lunar  
02:15 How Lunar became one of the early GenAI adopters
04:18 GenAI in legacy financial institutions
06:57 Why Lunar was better positioned to succeed with GenAI
09:07 What makes Lunar unique (as a company to work for and as a bank of choice)
12:05 Moving from grassroot initiatives towards GenAI becoming a strategic priority
13:50 Building Lunar's AI assistant – vision, product, team
18:14 Educating customers and targeting financial empowerment
22:05 Compliance by incompetence - what it is and how to avoid it
23:32 Measuring the value and ROI of GenAI initiatives
25:14 Balance between experimenting vs. ROI optimization
28:56 The shift from AI ChatBots to AI Agents
31:40 Inside the GenAI application stack
34:30 Defining the AI knowledge base - what is it and why is it needed
39:34 Building AI Governance through a use-case approach
42:34 Guardrails that work – positive vs. negative prompting
45:12 Explaining low adoption of AI tools and why the internal ones often fail
49:56 Key challenge (#1) for incumbents - building the right AI Team
52:19 Key challenge (#2) for incumbents - escaping pilot trap
54:31 What Avido offers – stress testing and assurance
56:59 Why we want AI to be near perfect - and how Avido can get us closer through quality assurance
59:26 AGI - will we ever get there?
01:01:58 Tips on building an AI tool (AI consultant)

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