AI Adoption Playbook

AI Adoption Playbook
Podcast Description
Welcome to The AI Adoption Playbook—where we explore real-world AI implementations at leading enterprises. Join host Ravin Thambapillai, CEO of Credal.ai, as he unpacks the technical challenges, architectural decisions, and deployment strategies shaping successful AI adoption. Each episode dives deep into concrete use cases with the engineers and ML platform teams making enterprise AI work at scale. Whether you’re building internal AI tools or leading GenAI initiatives, you’ll find actionable insights for moving from proof-of-concept to production.
Podcast Insights
Content Themes
The podcast emphasizes themes of AI implementation in enterprises, sharing specific case studies and frameworks such as WSI's top-down and bottom-up approach to AI adoption, Ramp's model-agnostic systems for financial data processing, and Checkr's innovative use cases that transform background checks. Episodes focus on actionable strategies, ROI calculations, governance frameworks, and quick-win methodologies like 90-minute process improvements, making complex AI topics accessible for business leaders.

Welcome to The AI Adoption Playbook—where we explore real-world AI implementations at leading enterprises. Join host Ravin Thambapillai, CEO of Credal.ai, as he unpacks the technical challenges, architectural decisions, and deployment strategies shaping successful AI adoption. Each episode dives deep into concrete use cases with the engineers and ML platform teams making enterprise AI work at scale. Whether you’re building internal AI tools or leading GenAI initiatives, you’ll find actionable insights for moving from proof-of-concept to production.
The construction industry sits on goldmines of unstructured data that could revolutionize how buildings get built. From thousands of contracts to communication logs spanning 12-36 month building cycles, Dan Williamson, Director of Artificial Intelligence at Ryan Companies US, says all that data remains largely untapped.
Dan walks Ravin through how Ryan is building AI systems to unlock this data, from contract risk analysis to robots doing reality capture on job sites. But the real challenge is organizational. Getting trade workers who’ve operated the same way for decades to embrace robotic assistants requires finding business evangelists willing to co-create change rather than having it imposed from above.
Topics discussed:
- Building enterprise AI strategy in traditional construction and real estate industries
- Leveraging unstructured data from contracts, communications, and building drawings
- Finding business evangelists to co-create change rather than imposing technology top-down
- Deploying robots on job sites for reality capture and progress tracking
- Processing hundreds of thousands of leases and construction contracts with AI
- Transforming construction drawings from unstructured data into actionable insights
- Managing 60+ contracts per project across 100-250 annual construction projects
- Automating safety risk assessment through job site communication analysis
- Replacing manual data entry with AI-powered construction workflow applications

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