Model Governance

Still hunting for model documentation in spreadsheets?

Govern. Monitor. Approve. Audit. All in one place.

Govern models from any source. Built for regulated industries with complete transparency and audit trails.

While Others Scramble for Weeks, You’re Always Audit-Ready

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Weeks

Any Model
Source

One-Click
Audit Pack

Zero-Code Interface

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How Model Governance Works

Inventory

Configure use cases and register models from iTuring, Python, SAS, and third-party sources

Workflow

Maker-checker approvals with accountability chains

Document

Complete audit trails: lineage, approvals, change history

Oversee

Access code, data, documents, models, and lifecycle status across your portfolio

Seamless Governance for Every Model

Zero Surprises. Complete Coverage. Always Ready.

Universal Model Coverage

Immutable Audit Trails

Electronic Workflows

Zero-Code Interface

Govern Every Model – No Matter Where It’s Built

iTuring Models

Native lineage from Auto ML

Production Models

ML Ops-deployed, real-time tracking

External Models

R, Python, PySpark, PyTorch, SAS etc.

See How Risk Teams Transformed Their Examination Readiness

Frequently Asked Questions

What types of models can be governed through the platform?

Model Governance provides oversight for models developed within iTuring AutoAI, deployed through mlFlux, and external models that can be registered in the system. The platform supports governance workflows regardless of the original development environment.

Structured maker-checker processes route model changes through configurable review chains. Each approval includes reviewer identity, timestamps, and comments. The workflow manager tracks review status from submission through final approval or rejection, maintaining complete accountability.

The platform captures comprehensive audit trails including model development history, approval workflows, version changes, and deployment records. All actions are automatically timestamped and documented, providing traceable evidence for regulatory examinations.

Yes. The browser-based interface enables risk teams to manage governance workflows, review model changes, and generate documentation without coding requirements or technical dependencies.

Complete version control tracks all model modifications with detailed change logs. The system maintains historical versions, enabling rollback capabilities while preserving audit trails of all version changes and the reasons for modifications.

Centralized model inventory provides comprehensive tracking including model status, versioning, deployment history, and performance metrics. Search and filter capabilities enable quick location of specific models across the portfolio.

Governance policies are configured through workflow templates that define approval requirements, review levels, and documentation standards. These policies are automatically enforced through the electronic workflow system.

Model Governance integrates with enterprise systems through APIs and supports various deployment environments. Governance workflows can connect with existing approval systems while maintaining centralized oversight.

Configurable documentation templates and approval workflows adapt to various regulatory requirements across regions. The audit trail structure supports compliance with different supervisory standards and examination processes.

Comprehensive reporting includes model portfolio status, governance compliance metrics, and detailed audit trails. Reports can be generated for management oversight and regulatory examination preparation, with customizable formats based on requirements.

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 analysis 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.