Dunning Management Software and Recovery Rates

Dunning management software for lenders, highlighting fixed dunning ladders, why fixed schedules cap recovery rates, adaptive ladders based on account behavior, and compliant dunning-stage limits.

TL;DR Search for dunning management software and most of the page describes a SaaS billing problem: a customer’s card expires or a charge fails, and the software retries the payment on a schedule and sends a reminder email until the account cures itself or churns. That is a real category, built for subscription billing, and […]

Automated Collections Software: Where Automation Helps and Where It Hurts

Automated collections software, highlighting benefits such as payment reminders, prioritization, and workflow efficiency, alongside risks involving customer relationships, inaccurate payment data, and excessive automated follow-ups.

TL;DR Automated collections software does not raise the question of whether to automate. The five components that make it its own category, covered in collections software for finance and credit teams, already assume some automation is in place. The real question is which parts of the work should run on their own, and which parts […]

Collections Software for Finance and Credit Teams

Collections software for finance and credit teams, highlighting what collections software must do in a regulated recovery operation, its five core components, how finance and credit teams use it differently, and where automation starts.

TL;DR A finance team and a credit team ask different questions about the same recovery problem. Finance wants to know what collections will cost and what it will recover this quarter. Credit wants to know which accounts to prioritize and which contact strategy will work on each one. Collections software is the system built to […]

Best Accounts Receivable Software in 2026

Best accounts receivable software for regulated institutions, highlighting fit over feature rankings, risk scoring on the institution's own data, automatic compliance enforcement, audit-ready records, and final vendor decision questions for banks, NBFCs, and insurers.

TL;DR Search “best accounts receivable software” and every result ranks a list of vendors by feature checklist, review score, or pricing tier. That question assumes one universal winner exists. For a bank, NBFC, or insurer, it does not. The right question asks which platform fits a specific portfolio, regulatory posture, and set of existing systems. […]

AI Governance Monitoring for Banks: What Changed When SR 11-7 Was Rescinded

AI governance monitoring for banks, highlighting the rescission of SR 11-7, SR 26-2 and OCC Bulletin 2026-13, the exclusion of generative and agentic AI, examiner expectations, and building governance into the platform before deployment.

TL;DR For 15 years, a bank building an AI governance monitoring program had one reference document to build it against. SR 11-7 named the questions an examiner would ask: is the model doing what it was built to do, is someone checking, and can the bank prove it. That document does not exist anymore. On […]

AR Management Software: What Controllers Need

AR management software for financial controllers, highlighting receivables visibility, aging reports, cash flow forecasting, credit risk monitoring, reconciliation, and financial reporting controls.

TL;DR Search “AR management software” and most results describe features to evaluate before buying: reporting dashboards, workflow engines, integration options. That question already has an answer at a bank, NBFC, or insurer running iTuring’s platform: what AR automation software needs to do covers the evaluation criteria in full. AR management is the different question that […]

AR Automation Software: Evaluation Criteria That Matter

AR automation software evaluation criteria, highlighting invoice delivery, payment tracking, cash application, collections workflows, ERP integration, reporting, security, and financial controls.

TL;DR Search “AR automation software” and most evaluation guides ask about ERP integration, invoice matching accuracy, and how much days sales outstanding drops. Those are real questions for a business chasing an unpaid invoice. They are close to beside the point for a bank, NBFC, or insurer evaluating a system to run collections or premium […]

AR Automation: A Working Definition for Finance Teams

AR automation definition for finance teams, explaining how technology streamlines invoice delivery, payment tracking, cash application, collections, and reconciliation while maintaining financial controls and customer relationships.

TL;DR Search “AR automation” and the results describe software built to speed up how a business gets paid for goods or services it already delivered. That definition serves the audience it was written for well. A bank, NBFC, or insurer works with a different receivable entirely: a loan installment or a premium payment, a customer’s […]

Accounts Receivable Automation: What Changes and What Does Not

Accounts receivable automation, highlighting changes in invoice processing, payment tracking, collections workflows, and reporting while customer relationships, credit policies, and financial accountability remain essential.

TL;DR Accounts receivable software for a bank, NBFC, or insurer scores risk, orchestrates outreach, and retrains itself as repayment behavior shifts. None of that answers a separate question a collections team faces the moment the software goes live: which of these tasks should the system carry out on its own, and which should still land […]

Accounts Receivable Software for Financial Services

Accounts receivable software for financial services, highlighting invoice management, payment tracking, collections automation, cash flow visibility, and compliance for banks and financial institutions.

TL;DR Search “accounts receivable software” and almost everything that comes back is built for a different job than the one a bank, NBFC, or insurer has. Most of it reconciles customer invoices against incoming payments and sends templated reminders when a business hasn’t been paid for services already delivered. None of it was built to […]

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.