Stress Testing AI Models: What RBI Expects Before You Deploy

3D illustration of transparent glass steps and a glowing circular symbol, representing staged progress and controlled model deployment.

TL;DR Stress Testing Your Balance Sheet and Stress Testing an AI Model Are Two Different Exercises When a risk officer at an Indian bank hears “stress testing,” the reflex is capital adequacy: RBI’s macroprudential scenarios, liquidity coverage under shock conditions, provisioning against a stressed balance sheet. That discipline is well understood, well documented, and audited […]

Model Risk Management for NBFCs: A Configuration Guide for Upper-Layer Compliance

Abstract 3D illustration of stacked regulatory documents enclosed between transparent glass domes, representing regulatory requirements, documentation, and model governance.

TL;DR NBFC-UL Compliance Teams Assume the MRM Draft Gets Stricter at Their Layer Most NBFC-UL risk and compliance teams reading RBI’s June 2026 model risk management draft guidance make a reasonable assumption: because their entity carries the highest regulatory burden under Scale-Based Regulation, the new MRM requirements must scale up with it. Somewhere in the […]

What Your Model Risk Committee Should Actually Be Reporting to the Board

Conceptual illustration of a hammer approaching a transparent protective case containing a telephone, representing risks, safeguards, and governance challenges in model risk management.

TL;DR Most Model Risk Committees Are Reporting Against a Standard That Doesn’t Exist Yet Ask a Model Risk Management Committee chair at an Indian bank or NBFC what their board report should contain, and you will get a confident answer built on habit rather than rule. That reflects where the current regulatory landscape actually stands. […]

How Often Should You Revalidate a Model? RBI’s Answer for NBFCs

Conceptual illustration of model revalidation featuring a chess knight surrounded by four glowing symbols, representing validation triggers and ongoing model oversight.

TL;DR  RBI Has Not Set One Number for Model Revalidation Frequency If you searched for this because a risk committee member asked “how often does RBI actually require us to revalidate,” the honest answer is that RBI has not published a single number. The Reserve Bank of India released draft guidance on model risk management […]

Model Governance Software for Indian Banks: What the Category Actually Offers

Conceptual illustration of financial model governance, featuring chess pieces and piggy banks on a conveyor belt to represent risk management and financial decision-making.

TL;DR Vendor Certification Does Not Reduce Your Validation Burden Under RBI’s Draft Guidance A model comes with a vendor certificate. The vendor ran its own testing, its own bias checks, its own performance benchmarks, and signed off. For most global model governance platforms, that certificate is treated as a meaningful input into the bank’s own […]

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 […]

What RBI’s Model Risk Management Guidance Actually Means for NBFC AI Teams

illustrating RBI model risk management guidance for NBFC AI teams, highlighting AI governance, model validation, monitoring, compliance, and risk controls.

TL;DR An NBFC’s model inventory usually lives in three places at once: a spreadsheet the risk team maintains, a vendor scorecard from whichever bureau or fintech partner supplied a scoring model, and someone’s memory of what is actually running in production this quarter. Ask that team to produce a validation trail for one specific model, […]

The 08:00 to 19:00 Rule: Building Calling-Hours Compliance Into Recovery Workflows

Abstract glass capsules releasing floating clocks, symbolizing time-sensitive regulatory deadlines and compliance requirements.

TL;DR Most Compliance Teams Read the Calling-Hours Rule Backward Ask a collections operations lead what the 8am to 7pm rule means, and most will describe it as a permitted calling window: agents can dial between those hours, full stop. That reading misses where the rule actually sits. Paragraph 100 of the RBI (NBFC – Responsible […]

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.