Collections & Recovery

Stop chasing payments. Start preventing defaults.

Integrated AI that predicts risk, personalizes outreach, and executes autonomously – 20%+ lift, 60% lower costs, complete audit trails.

iTuring Collections predicts default risk and propensity to pay, then generates hyper-personalized outreach that drives voluntary compliance across every channel, debt type, and sector.

18

banks and insurers live

140

Use Cases

What happens when collections gets intelligent

20%+

lift in collection rates

60%+

reduction in collection costs

10x

ROI delivered in 4 months

Legacy systems react after defaults - iTuring prevents them

Traditional collections chase payments with manual playbooks and generic messaging after defaults occur.

iTuring Collections uses behavioral intelligence to predict and prevent defaults before they happen, personalizing every interaction for maximum voluntary compliance.

Dual intelligence drives autonomous recovery

Predict

Analyze payment patterns, financial indicators, and behavioral signals to predict default risk and propensity to pay before defaults occur.

Personalize

Generate messaging tailored to each debtor's unique payment psychology and communication preferences across all channels.

Act

23 autonomous agents manage complete collection workflows, automatically adapting strategies in real-time without human intervention.

Govern & Learn

Every interaction logged with immutable audit trails. Outcomes feed back to retrain predictive models, maintaining or improving accuracy without manual retraining.

Every decision explained, every action tracked

Immutable audit trails for every interaction and algorithm decision with complete behavioral and communication lineage.

Maker-checker workflows with time-stamped approval history and automated documentation with decision rationale.

Complete traceability enables instant regulatory evidence generation for any examination.

Integrated intelligence that improves itself

Predictive segmentation

Default risk + propensity scores prioritize accounts and trigger workflows automatically.

Generative personalization

Behavioral fingerprinting generates market-of-one messaging across SMS, email, IVR, and agent scripts - not templated blasts.

Agentic execution

Autonomous agents manage workflows, adapt contact strategies, and close the learning loop - outcomes retrain models without data science bottlenecks.

One platform for all
recovery operations

Banking loan collections, credit delinquency, overdraft recovery; Insurance premium collections, lapse prevention, claims recovery; Enterprise accounts receivable, invoice management, B2B collections.

Score debt by collectability to prioritize recovery

Generate personalized outreach across all channels

Automate workflows with self-learning algorithms

Built for collections teams and compliance

Collections Manager

Higher recovery rates, lower cost per contact, faster resolution

Risk Officer

Complete audit trails and regulatory evidence for examinations.

Operations Team

Reduced manual effort, automated workflows, improved efficiency

Compliance

Full traceability and documentation for regulatory reviews

Get started with AI collections

Frequently Asked Questions

How much can collection rates improve?

Clients report up to 20% lift in collection rates and 37% increase in recoveries vs. conventional methods.

Up to 60% reduction in collection costs and manual agent time, with 10x ROI delivered in 4 months.

6-week integration vs. months for legacy systems, with immediate impact on recovery operations.

Complete audit trails for every interaction, behavioral lineage, decision rationale, and instant regulatory evidence generation.

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 analysis 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.