After leaving Eltropy, I took a year to unwind — traveling, hiking, cooking, and basically living my best life — before finally taking the plunge with Tursio. One day, my daughter overheard me chatting with my new boss about my role and, with a puzzled look, asked, “Dad, are you working in a goat market now?” It took me a second to figure out what she meant, and then it hit me. “Oh no, not goat market — Go-to-Market!” And just like that, my glamorous new role at Tursio became the comedy at home.

It’s the attitude, not the role!

When I first met Alekh Jindal, the CEO and co-founder of Tursio, in Palo Alto, it was immediately clear he had uncovered something truly unique. While I won’t pretend to fully grasp the depth of the research of the three PhD founders, I was convinced after reading founders’ research paper which clearly outlined the speed, accuracy and privacy issues in the current landscape of Gen AI for Data, and emphasized the need for the GOD machine.

Some of their first customers were already using Tursio’s Gen AI machine for complex use cases that would typically seem too risky for a company just starting out.

Tursio’s founders, Alekh and Shi, have experience in early-stage startups where the owner mindset is embraced, so I’m bringing that same ownership mentality to my GTM role as we tackle challenges in the banking industry.

Shared Challenges: Banks vs Credit Unions

During my two years at Eltropy, leading the AI business, I had the opportunity to observe the operational challenges and budget constraints faced by Credit Unions. However, driving efficient bank operations is not new to me. As GM/CIO at ICICI Bank in 2014, I managed the technology infrastructure for 30 million account holders, including core and digital banking systems, data centers, 4,500 branches, and a network of 10,000 ATMs — all on roughly one-fifth the budget of a typical U.S. bank of comparable size and complexity.

My takeaway from these experiences is clear: whether it’s a large bank or a smaller Credit Union, the challenges for executives remain remarkably similar. Their focus must always be on growing accounts, deposits, and loans, while effectively managing risks, compliance, fraud, and profitability.

Road to AI Transformation

When a leader asks the right question, it changes everything for the company. It wasn’t until Steve Jobs asked the question, “What pricing strategy will allow us to maintain high margins while attracting a loyal customer base?”​​, did Apple became the first trillion-dollar company.

Bank executives still struggle with getting instant answers to big questions. The questions get passed down from leaders to business analysts to data analysts to the developer, and finally a report or a model gets created. The complexity of data and the technical barriers to overcome makes it a time-consuming process for executives to get instant answers.

Here is where Tursio comes in.

The journey to AI transformation begins with bridging the gap between AI and BI expertise. Many organizations underestimate the challenges of handling vast amounts of structured and unstructured data from diverse sources. Traditional BI tools demand specialized skills to build data models and generate actionable reports. Adding to the complexity, leveraging large language models (LLMs) for tasks like training, fine-tuning, summarizing, and analyzing data to uncover dynamic insights requires a highly skilled workforce.

Tursio is pioneering a radical new approach of turning domain-specific databases into generative AI machines, thus helping organizations build LLM applications with no additional infrastructure or expertise needed.

With Tursio, enterprises can seamlessly deploy generative AI applications like enterprise search, augmented analytics, and predictive intelligence. All this happens while keeping the data within the enterprise database and operating fully within the private enterprise environment. The diagram below shows Tursio in action.

Figure 1: Tursio turning databases into generative AI machines.

Use Cases to Accelerate Lending, Credit and Risk Evaluation

Generative AI technology holds immense potential to revolutionize the way lenders evaluate borrowers and make lending decisions. Specifically, here are some of the use cases in Loan Portfolio Management that we have seen at Tursio:

1. Scenario Simulation: Predictive analytics empowers lenders to simulate different economic scenarios, assessing a borrower’s financial stability under various conditions. Ask Tursio: “How does the change in interest rate impact the borrower’s ability to repay?”.

2. Risk Assessment: By analyzing historical data, lenders can spot red flags in borrower profiles, minimizing the chances of issuing bad loans. Gen AI on data allows lenders to predict defaults and assess risks with greater precision. Ask Tursio: “Analyze data points such as credit scores and social media activity to predict a borrower’s likelihood of default”.

3. Regulatory Compliance: Proactively monitoring suspicious activities protects both lenders and borrowers. With AI, lenders can automatically flag discrepancies or missing information, ensuring compliance and averting potential penalties. Ask Tursio: “Find anomalies in member transactions for the last 2 years”.

4. Dynamic Pricing: Interest rates and loan terms can be dynamically adjusted based on real-time analytics of market conditions and individual risk profiles. By leveraging up-to-the-minute data, lenders can fine-tune offerings. Ask Tursio: “Determine the loan eligibility, interest rate and loan term for the borrower’s educational background, employment stability and credit information”.

5. Portfolio Monitoring: After loan origination, data analytics enables continuous monitoring to detect anomalies in repayment patterns, signaling potential risks or fraud. Generative AI can assist portfolio managers by automating performance reports, drafting portfolio optimization summaries, and creating subsegment-specific strategies aligned with risk appetite. Additionally, it enhances early-warning systems by analyzing real-time unstructured data, such as news or market reports, to flag borrowers or segments requiring attention. Ask Tursio: “Generate portfolio performance report for this quarter”.

Conclusion

In conclusion, my journey from Eltropy to Tursio has been filled with exciting challenges and opportunities, all driven by a shared mission: to revolutionize banking through AI-driven solutions. Tursio’s innovative approach to generative AI is transforming how financial institutions make decisions, manage risk, and optimize portfolios. If you’re ready to accelerate your journey toward AI transformation, I encourage you to explore Tursio and see how our technology can unlock new possibilities for your organization.

Read more- Tursio AI for Regulated Industries