5 Proven AI Strategies to Stop Customer Attrition in Banking Before It Happens

What if you could predict when a customer is about to leave before they even realize it themselves? In today’s fiercely competitive banking landscape, financial institutions spend millions acquiring new customers. Yet, the quiet leak in their deposit base through customer attrition continues to drain revenue faster than new acquisition can replenish it. It’s not […]

How Open Data Accelerators Are Redefining the AI Journey?

All organisations are dealing with more data than ever before. Yet, getting that data to deliver meaningful results is often a slow and messy process, and sometimes frustrating. Teams switch between tools, pipelines break, model development takes six months to confirm what we already knew, and by the time the insights reach the hands of […]

The Empathetic Edge: How AI-Driven Smart Collection Agents Are Reshaping Debt Recovery

Debt collection has never had an easy reputation. For decades, it has been associated with rigid scripts, high-pressure conversations, and strained customer relationships. But as we discussed in the recent iTuring.ai Smart Collections Agent webinar, that narrative is changing fast. In the webinar, I had the opportunity to speak with Milind Joshi and Suman Kumar […]

Why ML Ops Is the Backbone of AI Success in Banking

The Promise and Pitfall of AI in Banking As banks today are racing to harness the power of artificial intelligence—deploying machine learning models for fraud detection, credit scoring, customer personalisation, and regulatory compliance. Yet, despite significant investments, many institutions struggle to realise the full value of their AI initiatives. The culprit? A disconnect between data […]

Why Model Risk Management Matters

Artificial intelligence has moved from experimentation to boardroom priority in a remarkably short time. Most large enterprises now run multiple AI initiatives — fraud detection systems, predictive analytics platforms, generative AI copilots, and customer intelligence tools. Yet one pattern has become increasingly clear to me over the past decade. Many organizations can build AI models. […]

Financial Inclusion Is Failing. The Problem Isn’t Access

For decades, the standard response to financial exclusion has been singular: “Improve Access.” We treated it as a logistical and infrastructure challenge. The strategy was clear: build branches, open accounts, and push entire populations previously unbanked into the formal system. The Illusion of Progress: Included in Form, Excluded in Function By our conventional metrics, the […]

The Rise of Autonomous Banking

For decades, banks have invested in becoming smarter. Today, intelligence is no longer the constraint. Execution is. The next competitive advantage in banking will not come from better insights, but from systems that can act on them. For years, banking and financial services have cycled through familiar themes such as digitalization, Big Data, and more […]

TCF Outcome Measurement for Collections: How South African Banks Demonstrate Fair Treatment Under FSCA’s Six Outcomes Framework

TL;DR There is a well-known gap in how South African financial institutions handle the TCF framework. Every regulated bank and insurer has a TCF policy. Most have TCF training programmes. A significant number have TCF committees. What far fewer have is TCF outcome measurement for collections specifically: the operational data, the management information reports, and […]

Tarika Bhutani

Senior Director – Sales and Marketing Operations

Tarika is a market development leader driving global growth through strategic partnerships and go-to-market initiatives.

 

She focuses on expanding enterprise adoption of AI solutions across international markets, working closely with partners and clients to enable data-driven transformation.

 

Her work centres on scaling enterprise AI through partner-led growth and direct customer engagement, supporting organisations in implementing impactful, data-driven solutions worldwide.

Vipin Johnson

Vice President – Customer Acquisition

Description Goes Here

Rajnish Ranjan

Vice President, Head – Data Science

Rajnish brings over two decades of experience leading data-driven transformation across Fortune 500 organisations.

 

His career spans senior roles at HSBC, Zafin, Cisco, TCS, Nielsen, iQuanti, Symphony, Supervalu, and Harman, delivering measurable cost savings, operational efficiencies, and revenue growth.

 

With experience across banking, retail, telecom, pharma, CPG, and digital marketing, he leads cross-functional teams at iTuring.ai to deliver advanced analytics, machine learning, and AI solutions.

Aishwarya Hegde

VP Operations & Content Head

Aishwarya has been instrumental in building iTuring.ai from inception and continues to manage core operations across the organisation. Her responsibilities span project operations, financial planning, and evaluating future expansion opportunities.

 

Prior to iTuring.ai, she worked with Market Probe and WNS Research & Analytics, delivering high-impact decision support and actionable analytics for IBM with a record of zero errors.

 

Aishwarya holds a postgraduate degree in Data Science and Machine Learning from Manipal University.

Bryan McLachlan

Managing Director – Africa

Bryan has 30 years of experience driving innovation and growth across technology, banking, insurance, and retail.

 

Prior to iTuring.ai, he held executive leadership roles at Instant Life, AIG, Nedbank, FNB, and TransUnion. He focuses on enabling enterprises to adopt AI and machine learning within trusted, governed, and risk-managed frameworks.

 

Bryan holds a Master’s degree in Commerce from the University of Johannesburg.

Mohammed Nawas M P

Co-Founder, VP Product Development

Nawas brings 20 years of experience in designing and delivering cloud-native software and data systems. He has held senior technology roles at HCL, Radisys, Kyocera, and Mindtree, leading large development teams and complex product builds.

 

At iTuring.ai, he oversees product roadmap and customer delivery, applying cloud-first thinking, deep systems expertise, and a focus on building robust, scalable AI solutions that challenge industry norms.

 

He is a graduate of Rajiv Gandhi Institute of Technology.

Amit Kumar

Amit is a technology architect with over 18 years of experience designing data-intensive systems and enterprise analytics platforms. He has built highly scalable products across open architecture models and virtualised infrastructure, aligning deep technical detail with business requirements for AI and ML solutions.

 

Prior to iTuring.ai, he held senior technical roles at Radisys and Aricent. Amit leads platform architecture with a focus on governance, lineage, and traceability.

 

He holds a First Class with Distinction BTech in Computer Science from Cochin University.

Valsan Ponnachath

President, COO and Co-founder

Valsan brings over two decades of global leadership across sales, professional services, and product operations in technology and SaaS enterprises.

 

Prior to iTuring.ai, he held senior executive roles at Fiserv, Cisco, and Sun Microsystems, most recently serving as Senior Vice President at Fiserv overseeing global system integration and international professional services. Based in California, he leads iTuring.ai’s growth in the Americas.

 

Valsan holds an MBA from the University of Nebraska and a BE in Computer Science from Bangalore University.

Suman Singh

Founder & CEO

Before founding iTuring.ai in 2018, Suman led analytics at Zafin and Fiserv as CAO and General Manager Analytics, delivering enterprise-scale solutions still running in production.

 

His work includes fraud detection systems saving clients over $19M, patented Customer Relationship Score methodology, and price optimisation recognised by the INFORMS Edelman Award (2014). He has authored multiple research papers and pioneered the data-to-value approach.

 

Suman holds a Master’s in Statistics from CCS HAU and a Bachelor’s in Agricultural Engineering from BHU.