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. […]

MLOps Services for Financial Institutions: The Work That Starts After Deployment

Illustration highlighting MLOps services for financial institutions, focusing on post-deployment model monitoring, performance reporting, ongoing maintenance, and reliability.

TL;DR A bank that just finished deploying a model usually has a working pipeline, a monitoring dashboard, and a project team about to move on to its next engagement. What it often doesn’t have is anyone whose job continues past that point. MLOps services are the work that keeps happening after deployment: watching for drift, […]

AI Cannot Cure Natural Stupidity

A smooth liquid in iTuring brand colors going through a circular ring highlighting that breaking through and understanding something requires basic intelligence

A bank can now deploy an agent that reads a customer record, drafts an offer, sends a message, and schedules a follow-up. That is impressive. But if the underlying decision is wrong, the bank has simply found a faster way to make the same mistake at scale. This is the uncomfortable question behind the race […]

LLMs and Agents are Not Enough

A crystal ball with a winding road inside it depicting that the path ahead for Banks only lies with predictive intelligence

Banks need predictive intelligence to see what happens next. Banks are moving rapidly from experimenting with generative AI to deploying AI agents. The appeal is obvious. Large language models can understand complex information, summarize documents, converse naturally and reason across a growing range of tasks. Agents add another powerful capability: they can act. But there […]

Debt Collections Software in India: What NBFCs Should Evaluate Before Buying

Cover image for a guide to evaluating debt collections software in India, featuring stacked currency notes and coins to represent loan recovery and collections management.

TL;DR Most NBFCs searching for debt collections software are really asking three separate questions at once, and most vendor pages answer only the first one. Head of Collections teams tend to start this search after outreach volume stops moving the recovery number. The instinct is to buy something that makes more calls, sends more reminders, […]

The OEM Certification Requirement Inside RBI’s Device-Locking Rule

illustrating RBI’s device-locking rule for NBFCs, featuring an open certification case and documents representing OEM certification requirements.

TL;DR This piece cites RBI’s NBFC-specific 2026 amendment (paragraph 100S) from secondary-source reporting, not a primary RBI text we’ve been able to fetch directly. Treat the paragraph citation as high-confidence, not primary-confirmed. Most compliance teams reading RBI’s new device-locking rule stop at the parts that are easy to operationalize: the 30-day and 60-day thresholds, the […]

The 7-day rule: why your recovery agency list can’t sit static on your website

Transparent chess knight on a glass chessboard under blue lighting, symbolising strategy, oversight, and accountability in recovery agency management.

TL;DR Most NBFC compliance teams treat their recovery agency list as a static page, published once and forgotten. That assumption is now a liability. The 2026 amendment to RBI’s Responsible Business Conduct Directions turns this list into a live document with a hard deadline attached to every change. This piece covers exactly what the list […]

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.