AI InterConnect Podcast
AI InterConnect Podcast
Podcast Description
Invite Leaders in Businesses from Proptech to B2B and Technology to AI
AI Interconnect Podcast is where the next generation of business builders, Proptech pioneers, and AI-native entrepreneurs come to share raw insights, real struggles, and breakthrough ideas.
Hosted by Laurent, a Proptech operator turned AI agency founder, this show isn’t another hype machine — it’s a deep-dive into what’s actually working in the trenches of real estate tech, logistics, automation, and AI adoption.
Podcast Insights
Content Themes
The podcast covers a diverse range of topics including clean energy in real estate, AI applications in property management, integration challenges with technology, compliance in construction, and the transformational role of data. Episodes feature case studies like Derek Hansen discussing sustainability in real estate and Tiffany Mittal's insights on utility management, illustrating practical implementations and industry trends.

Invite Leaders in Businesses from Proptech to B2B and Technology to AI
AI Interconnect Podcast is where the next generation of business builders, Proptech pioneers, and AI-native entrepreneurs come to share raw insights, real struggles, and breakthrough ideas.
Hosted by Laurent, a Proptech operator turned AI agency founder, this show isn’t another hype machine — it’s a deep-dive into what’s actually working in the trenches of real estate tech, logistics, automation, and AI adoption.
In this episode, Laurent Cochet interviews Shivi Sharma, co-founder and president of Kaaj.ai an AI-powered underwriting platform, about how AI is transforming financial services, especially in credit risk analysis and underwriting. They explore the practical applications, challenges, and future potential of AI in high-stakes financial decision-making.
key topics
AI's role in credit underwriting
How Kaaj simplifies loan processing
Balancing AI automation with human judgment
Building trust and transparency in AI models
Scaling AI solutions in financial institutions
Challenges in AI adoption for high-stakes decisions
Market education and customer trust in AI products
Future opportunities in small business lending
sound bites
”AI should help organize workflows, not replace judgment”
”Garbage in, garbage out in AI models”
”AI gives leverage, not job replacement”
Chapters
00:00 Introduction to AI Interconnect and Guest
00:29 Guest background and journey into AI
01:29 Shivi's experience in credit and fraud risk
02:14 Understanding the problem Kaaj solves in lending
03:16 How Kaj simplifies the loan application process
04:40 The human role in underwriting with Kaaj
06:47 Where AI can automate and where human judgment is essential
08:14 Building trust and evidence-backed AI analysis
10:40 Scaling challenges and market education
12:09 The importance of trust and customer relationships
15:40 Market misconceptions about AI in finance
16:00 The importance of data quality and infrastructure
17:07 AI's role in improving economics of small loans
20:22 Next steps and deeper customer engagement
22:33 Expanding into other lending segments
23:45 Key constraints and hiring challenges
26:41 High-stakes AI and the need for caution
27:50 Lessons learned and underestimations
28:24 Advice to younger self and startup founders
29:45 Closing remarks and contact information
keywords
AI in finance, underwriting, credit risk, financial technology, AI adoption, risk analysis, fintech innovation, AI trust, small business loans, AI scaling, AI underwriting, underwriting automation, AI in financial services, AI in fintech, SMB lending, small business lending, equipment finance, credit risk, credit risk automation, automated underwriting, human judgment in AI, AI lending, commercial lending, lending operations, financial services AI, AI credit analysis, credit underwriting, underwriting technology, lending technology, AI adoption , Shivi Sharma, Kaaj.ai,
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Shivi Sharma, Co-Founder & President of Kaaj.ai, joins AI InterConnect to explore how AI underwriting can make SMB lending faster and more efficient without removing human judgment from credit decisions.
Shivi explains how Kaaj uses AI to analyze borrower documents, identify inconsistencies, organize evidence and prepare information for underwriters. She discusses why trust and explainability matter in financial services AI, why buyers care about business outcomes rather than AI itself, and how automation can help lenders scale without proportional headcount growth. She also explores how better underwriting economics could make smaller commercial loans more attractive to lenders.
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