The Four Terms Everyone Confuses With Model Risk Management

TL;DR Someone on a risk or technology team asks what model risk management actually covers, and the answers they get back use “governance,” “validation,” and “monitoring” as if they all mean the same thing. They don’t. Each is a real, specific piece of the job. Model risk management is the discipline that holds all of […]

Why Automated Model Risk Management Still Needs Someone to Sign Off

TL;DR A model risk team hears “automated model risk management” and pictures something close to unattended: drift gets caught, evidence gets filed, and nobody has to sit through a status meeting to find out a model is degrading. Half of that picture is accurate. The other half is where teams get into trouble. Automated model […]

Most Model Risk Management Software Doesn’t Do What the Name Promises

TL;DR Search “model risk management software” and most of what comes back is a dashboard with a drift chart and the word “AI-powered” somewhere in the hero copy, a monitoring widget wearing a bigger label than it’s earned. Model risk management software has a specific job: monitor every model in production, including the ones the […]

Model Risk Tiering: Why Not Every AI Model Needs the Same Scrutiny

Glass chess knight filled with documents and compliance checklists, symbolizing model governance, risk assessment, and regulatory oversight in banking.

TL;DR A model risk officer at an NBFC gets asked by an examiner which of the institution’s forty deployed models get the deepest scrutiny. There is no RBI-published answer yet, only three named inputs and a deadline that keeps moving. The Three Factors RBI’s Draft Actually Names RBI’s June 24, 2026 draft guidance (“Guidance on […]

The OEM Certification Requirement Nobody’s Talking About in RBI’s Device-Locking Rules

Abstract glass keyhole sculpture containing multiple eye-like elements, symbolizing device access, security, and OEM certification requirements.

TL;DR The Rule Text Says OEM Certification Is Required. It Doesn’t Say by Whom. Per secondary reporting on RBI’s device-locking guidelines, including coverage by Inc42, regulated entities (REs) and third-party device-locking vendors are required to obtain certification from the device or operating system platform’s OEM before deploying device-locking technology in gadget financing. That is the […]

Recovery Agency Due Diligence: What RBI Now Ties to Your Outsourcing Risk Policy

Visual representation of recovery agent due diligence records, showing identification and verification documents with a review deadline of September 30, 2026.

TL;DR An Auditor Just Flagged Your Recovery Agent Vetting as Undocumented Nobody is telling you the vetting was bad. That’s the part worth sitting with. In a growing number of NBFC examinations, the finding isn’t that a recovery agent was under-vetted, that background checks were skipped, or that a red flag went unnoticed. The finding […]

Recovery Call Recording Compliance for NBFCs: What RBI’s 2027 Rule Requires

Recovery compliance timeline showing RBI directions finalized on August 6, 2026, and the January 1, 2027 effective date, with a five-month implementation window for call recording, notifications, retention, and audit trails.

TL;DR Recovery Call Recording Compliance Is a New Documentary Requirement, Not a Conduct Update Anyone searching for what recovery call recording compliance actually requires is usually trying to answer two questions: what the rule mandates, and whether their collections software already meets it. Here’s the direct answer: RBI’s rule requires that recovery calls be recorded, […]

Banks Should Measure Reuse, Not Just ROI

Banks have spent the past several years proving that artificial intelligence can create value. Fraud models reduce losses, contact-center copilots improve productivity, AI-assisted underwriting accelerates decisions, and relationship intelligence helps bankers identify opportunities earlier. Most of these initiatives are evaluated in a familiar way: What problem does the technology solve, what does it cost, and […]

The Missing Ingredient in Agentic AI: Predictive Intelligence

Every technology wave has a defining misconception. During the rise of robotic process automation, many believed that automating workflows would transform business performance. It certainly improved efficiency, but it rarely improved decision quality. Organizations became faster at executing the same decisions they had always made. Today, a similar assumption is emerging around agentic AI. Across […]

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

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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.