Model Governance

Still hunting for model documentation in spreadsheets?

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

Watch it in Action

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

Minutes vs
Weeks

Any Model
Source

One-Click
Audit Pack

Zero-Code Interface

Get Governance Demo

*5 Spots Left This Week

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 Live Demo

See How Risk Teams Transformed Their Examination Readiness

Schedule Strategy Session

Frequently Asked Questions

How does iTuring's model governance align with SARB Guidance Note 4/2020?
The platform directly maps to SARB GN 4/2020 requirements: central model inventory, three lines of defence approval workflows, independent validation support, drift and bias monitoring, and exportable examination packs — all built into the architecture, not retrofitted.
Yes. King IV governance principles — including board-level accountability, ethical AI, transparent reporting, and independent assurance — are supported via immutable audit trails, maker-checker workflows, and portfolio-level risk dashboards for senior leadership.
Yes. iTuring governs third-party and internal models with the same approvals, inventory, lineage, and evidence packs used for iTuring-native models. Critical for South African banks with large existing model estates.
The platform produces Treating Customers Fairly evidence (per-decision explanations, bias monitoring, documentation of model changes), model approvals history, and lineage from raw data to output — all exportable in examiner-ready packs.
POPIA Section 71 restricts automated decisions that have legal or similarly significant effects on data subjects. While POPIA does not prescribe an explicit right to human review, iTuring goes beyond the minimum: the platform generates plain-language rationale for every model decision, enables human-review escalation workflows, and maintains complete lineage for any data subject access or objection request, giving South African financial institutions a governance posture that exceeds POPIA’s current requirements.
SARB requires full lifecycle governance for material models; iTuring provides this via inventory, validation, change logs and monitoring in one system.
Each line of defence has separate roles, approvals and evidence views so responsibilities are clearly segregated and auditable.
Yes. It can inventory hundreds of models with owners, risk tiers, statuses and linked evidence packs.
Every change is initiated and approved by different users with timestamps and rationales recorded for regulators and boards.
Yes. Banks can export complete evidence bundles for selected models, cutting down manual exam preparation work.
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.