Fraud and Financial Crime

Catch hidden fraud. Prove every decision.

92% accuracy with fewer false positives, complete audit trails, and 30‑minute investigations

iTuring.ai automates the entire fraud detection process from raw data to production deployment. With 50,000 ready financial features and complete lineage so you catch more fraud without blocking good customers.

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18

banks and insurers live

140

Use Cases

What changes when fraud AI works properly

92%

fraud detection accuracy

1.9x

reduction in false positives

30Mins

to close cases instead of 3 weeks

Stop losing good customers to catch bad ones

Traditional fraud systems force impossible trade‑offs between catching fraud and approving legitimate transactions. iTuring's zero‑code platform builds explainable models that improve both accuracy and customer experience while delivering complete audit documentation.

From raw data to production fraud models in weeks

Connect

Upload fraud data from any source. Data Accelerator connects to your systems and lets you select from 50,000 pre-built fraud intelligence features with complete lineage tracking.

Compete

AutoML tests multiple algorithms with intelligent hyperparameter optimization to find the champion model, with built-in explainability and automated documentation.

Deploy

One-click deployment to production with 60+ live risk checks, continuous monitoring, and instant regulatory evidence generation.

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Every fraud decision comes exam‑ready

Immutable audit trails for every fraud alert and decision with full explainability in plain business English.

Maker‑checker workflows with time‑stamped approval history and automated documentation.

Downloadable exam packs that include model lineage, feature importance, and decision rationale.

Three fraud patterns
we solve

Account opening fraud

Detect synthetic identities and account takeovers using behavioral patterns and device fingerprinting.

Transaction fraud

Real‑time scoring that catches suspicious patterns while keeping legitimate transactions flowing.

Identity verification

Link customer data across channels to prevent fraud without creating friction for genuine customers.

Plugs into your existing fraud infrastructure

Connect to core banking, payment processors, card authorization systems, and KYC platforms; deploy as API endpoints or embed directly into existing workflows.

Real‑time scoring APIs with sub‑second response times

Batch processing for historical fraud analysis

Seamless integration with fraud case management systems

Built for fraud, risk, and compliance teams

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Fraud Manager

Higher win rates at constant risk.

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Risk Officer

Complete audit trails and full decision transparency

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Operations Team

Reduced manual review workload and faster case resolution

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Compliance

Regulator‑ready documentation and model governance

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Frequently Asked Questions

How does iTuring's fraud detection support FICA compliance in South Africa?
FICA requires South African financial institutions to identify, monitor, and report suspicious transactions via STRs to the Financial Intelligence Centre (FIC). iTuring’s fraud models produce complete case trails, entity linking, and investigation documentation that supports FICA Section 29 STR obligations and FIC audit requirements.
South African fraud patterns include card-not-present fraud, account takeover (ATO), identity theft, and sophisticated syndicate fraud. iTuring’s 25,000 features include behavioural, device, and network signals that detect SA-specific fraud patterns with high accuracy and fewer false positives.
Yes. Every fraud alert generated by iTuring includes a complete case trail — entity relationships, transaction sequences, model scores, and decision rationale — structured for STR preparation. This reduces investigation time from weeks to under 30 minutes.
Insurance SIU teams can use iTuring to link entities across claims, detect organised fraud networks, and generate case documentation for police dockets and FSCA reporting. FICA requirements for insurer AML programmes are met through the platform’s case trail architecture.
Yes. iTuring’s real-time scoring APIs operate with sub-second response times and integrate with BankservAfrica, PayShap, and RTC rails. Models score transactions as they flow and trigger instant investigation workflows for flagged activity.
Yes. It supports high‑volume scoring across card and digital channels.
Fraud and AML models are governed as material models with full documentation and monitoring.
Yes. It uses bureau and behavioural data to detect suspicious or synthetic identities at onboarding.
Continuous scoring and alerts keep fraud teams informed between formal review cycles.
Yes. It covers insurance fraud use cases like inflated and duplicate claims in addition to banking fraud.
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.