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Illustration of AI-powered collections for credit unions, showing how predictive analytics helps balance member relationships and recovery outcomes through personalized treatment strategies, repayment support, and risk-based collections prioritization.
June 15, 2026

Credit Union Collections AI: Balancing Member Relationships and Recovery

  • Collections & Recovery
21 min read
Illustration of AI-powered early bucket collections for US community banks, showing collections teams using predictive analytics and customer behavior data to identify repayment likelihood, prioritize outreach, and improve delinquency recovery outcomes.
June 15, 2026

AI for Early Bucket Collections: How US Community Banks Reduce 30-60 DPD Loss

  • Collections & Recovery
19 min read
Illustration of propensity scoring in South African collections, showing how AI models assess customer repayment likelihood, segment delinquent accounts by risk, and prioritize collection treatments to improve recovery rates and operational efficiency.
June 15, 2026

Propensity Scoring for South African Collections: A Practical Introduction

  • Collections & Recovery
16 min read
Illustration of a champion-challenger testing framework for South African banks and credit providers, comparing collections strategies, decision models, and customer treatment paths to optimize recovery performance and improve collections outcomes through controlled experimentation.
June 12, 2026

Champion-Challenger Testing for SA Banks and Credit Providers

  • Collections & Recovery, Model Risk & Validation
18 min read
Illustration of an AI-powered collections decision engine for India's digital lending market, showing real-time borrower segmentation, risk assessment, communication channel selection, and automated collections actions based on customer behavior and repayment likelihood.
June 12, 2026

Real-Time Collections Decisioning for India’s Digital Lending Market

  • Collections & Recovery
17 min read
Illustration showing AI-powered debt collections technology for South African credit providers, with customer payment data, risk scoring, automated communication workflows, and collections prioritization working together to improve recovery rates and compliance.
June 12, 2026

Collections AI for South African Credit Providers: How the Technology Works

  • Collections & Recovery
17 min read
Illustration representing propensity modeling for NBFC portfolio collections, highlighting the use of borrower behavior, repayment patterns, risk signals, and predictive analytics to prioritize collection strategies and improve recovery outcomes.
June 10, 2026

Propensity Modeling for NBFC Portfolio Collections

  • Collections & Recovery
15 min read
A cover image of a blog that talks about Champion-Challenger AI Testing for Indian NBFCs and Fintechs.
June 3, 2026

Champion-Challenger AI Testing for Indian NBFCs and Fintechs

  • Collections & Recovery
16 min read
A cover image of a blog that talks about Real-Time Credit Decisioning for US Collections Operations. The image represents automated credit evaluation, risk assessment, and real-time decision-making processes that help collections teams improve efficiency, reduce manual reviews, and accelerate customer account management.
June 3, 2026

Real-Time Credit Decisioning for US Collections Operations

  • Collections & Recovery
15 min read
May 21, 2026

Champion-Challenger Testing in AI Collections: A Practical Guide for US Banks

  • Collections & Recovery, Model Risk & Validation
13 min read
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
Co-Founder, VP Product Engineering

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.