Model Risk Management

Your model failed.
Do you know what broke?

Proactive model risk intelligence. iTuring MRM detects degradation before failure with real-time risk visibility for every model, every day.

Watch it in Action

Built for regulated industries with complete transparency and traceability to support your audit processes.

While Others Hunt for Weeks, You Know in Minutes

30 Minutes vs 3 Weeks

iTuring Model Relevancy Score

1000+ Models Monitored

Complete Investigation Reports

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Enterprise model risk teams report dramatic investigation acceleration and complete audit documentation with iTuring MRM.

How Investigation Intelligence Works

Detect

Relevancy Score detects degradation. (Real-time early warning indicators before performance drops)

Analyze

Three-layer drift analysis runs. (Model, Feature, Data simultaneously)

Identify

Model failure causation. (Data drift, feature degradation, accuracy drop identified)

Report

Complete investigation generated. (Board-ready evidence in minutes)

Zero Surprises. Complete Coverage. Instant Intelligence.

Proactive Detection

Issues identified weeks before performance drops

Complete Documentation

Every action time-stamped and transparent

Custom Configuration

Monitor only what matters for your use case

Monitor Every Model – No Matter Where It’s Built

iTuring Models

iTuring models with complete data lineage tracking and baseline comparison analysis

Production Models

iTuring Model Ops deployed models with real-time and batch data monitoring capabilities

External Models

Thirdy-party models from Python, R, SPARK, PyTorch, SAS- compete drift analysis for any model

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Every Parameter. Every Platform. Complete Intelligence.

Model Drift
KPIs

AUC, Precision, F1, Recall, PSI, CSI, EMD, R2, Adj-R2, MSE, MSEP, etc.

Feature Drift
KPIs

Fisher Score for numerical features Information Value for categorical features

Data Drift
KPIs

Distribution, Missing, Skewness, Variance Mean, Standard Deviation monitoring

Custom
Dashboards

Configurable templates and KPI selection Project-specific monitoring views

Alert
Management

Configurable thresholds and severity levels Complete alert history with details

Automated
Recommendations

Incremental, partial, complete retraining Data-driven remediation guidance

Investigation Intelligence - Know What Shifted, Why It Shifted, Show the Proof

  • Automated monitoring across drift parameters (model, feature, and data layers)
  • One-click regulatory evidence exports and audit-ready documentation
  • 30-minute root cause investigations with exact feature impact percentages
  • Configurable dashboards and alert thresholds for your model portfolio
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Frequently Asked Questions

How does iTuring's model risk framework specifically address SARB GN 4/2020 requirements?
SARB GN 4/2020 defines model risk across development, validation, implementation, and ongoing monitoring. iTuring covers all four stages: automated documentation at build, challenger-based validation packages, maker-checker deployment approvals, and 60+ live risk checks post-deployment, with examiner-ready packs for Prudential Authority review.
Yes. iTuring supports distinct role-based access and approval layers for model developers (1LoD), independent validation (2LoD), and audit/compliance (3LoD), with immutable trails separating each layer for SARB examination.
FSCA conduct oversight requires models impacting customer outcomes to be explainable, monitored, and governable. iTuring provides per-decision explanations, bias monitoring, drift alerts, and rollback for models used in customer-facing decisions.
Yes. The three-layer drift analysis monitors covariate drift (input distribution changes), concept drift (relationship changes), and outcome drift (target variable changes) — critical for SA models impacted by load-shedding, rand volatility, or economic shocks.
Tools include a model risk register, 60+ live risk checks, drift analytics and exam pack generation.
It enforces clear responsibilities and approvals across the lines of defence, with separate evidence views.
It distinguishes structural credit risk changes from transient shocks like load‑shedding or FX volatility to avoid over‑reacting with retrains.
The platform assembles development, validation, deployment and monitoring evidence into exportable packs for PA examinations.
It runs more than 60 configurable live checks across accuracy, stability, fairness and data quality.
Yes. Scenario testing and drift tracking help quantify and document macro shocks for regulators and boards.
Martin L. Litabe
Sales Support Manager
Martin joined iTuring in July 2024, first as Business Development Support before stepping into his current role as Sales Support Manager.

He holds a Postgraduate Diploma in Business Administration with a Digital Transformation Lens from Johannesburg Business School, as well as a Finance Literacy certificate from the University of Johannesburg.

At iTuring, Martin works across the operational and commercial side of enterprise sales in Africa, ensuring that deals move from first conversation to signed contract with the same rigour the platform brings to AI deployment.
Ryan Blumenow
Business Development
Ryan is a senior analytics and business development professional with a background spanning international trade, infrastructure, and development economics.

He has held roles as Head of Analytics for Africa at AB InBev, Global Chief Data and Analytics Officer at Globalstratos Group, and Managing Director of Optimize Live, a specialised IT and strategy consulting firm.

He is pursuing a PhD in Economics and Gamification from the University of Cape Town. At iTuring, Ryan applies his research-led, quantitative approach to building the commercial case for AI adoption across African financial institutions.
Marc Beukes
Sales Director, Africa
Marc joined iTuring in April 2026 to lead sales across the African market, bringing nearly a decade of enterprise SaaS experience across supply chain governance, legal intelligence, and board governance software.

Before iTuring, he spent close to four years as Regional Sales Director EMEA at BoardEffect, a Diligent brand, selling governance and compliance tools to regulated institutions across multiple sectors.

At iTuring, Marc focuses on helping banks, insurers, and fintechs move from AI pilots to production, building relationships grounded in measurable business outcomes and regulatory readiness.
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
Co-Founder, VP Product Engineering

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.