Volume 24 | March 2026

Foreword

AI First Banking

Arun Jain Banking is moving beyond digital access to intelligence at scale. AI First Banking marks this shift, where decision quality and measurable outcomes define success.

With eMACH.ai AI First Banking, we bring together domain aware agents across lending, trade, payments, treasury, wealth and servicing to embed intelligence directly into workflows. Banking becomes invisible, intuitive and contextual, powered by Natural Language Experience that allows customers to interact in their own language across voice and text.

Built on Purple Fabric and our composable foundation, the ecosystem combines hyper personalisation, embedded finance, autonomous operations, continuous learning and enterprise governance. Intelligence is woven into processes at the point where outcomes are created.

AI First Banking is about transforming institutions from technology driven change to outcome driven growth, while making banking more inclusive, responsive and resilient.

Arun Jain

Chairman and MD of Intellect Design Arena,
Chief Architect of Purple Fabric

Cover Story

Intellect’s Purple Fabric is now available as “Enterprise AI on Tap”

Purple Fabric, India’s Judgment-Centric full-stack Open Business Impact AI platform, is now available as an Enterprise AI on Tap at ₹99,500 per month, enabling up to 50 users to deploy and scale Business Impact AI without the traditional infrastructure burden. The move positions reliability-first artificial intelligence as certified, trustworthy, governance-ready institutional infrastructure. At less than the monthly cost of an experienced IT engineer or architect, organisations gain access to a full-stack AI reliability architecture that would traditionally require dedicated research teams, bespoke integration programs and significant infrastructure overhead.

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Spotlight:

Intellect CMD Arun Jain featured in TIME Magazine

Arun Jain, our Chairman and Managing Director, has been featured in TIME Magazine (2025) as part of its special edition “Growth Architects – Leaders Fueling India’s Rise”. This prestigious TIME feature recognises leaders who are shaping India’s rise through institution building, clarity of thought, and long-term impact. Read more

Intellect launches eMACH.ai AI-First Banking

The platform is purpose-built to drive inclusive banking with 550 domain-aware agents across Lending, Trade, Payments, Treasury, Wealth, Bank Operations, Customer Servicing and Complaint Management. The AI-First Banking ecosystem empowers banks to make banking invisible, intelligent, and inseparable from their daily life. Read more

Recent Success & Implementation

Intellect in the News

Industry Watch

How Agents Are Accelerating the Next Wave of AI Value Creation

The article states that the next major source of AI value will come from AI agents, which act as the “frontal cortex” or “executive function” of AI, taking on and autonomously executing entire workflows. To successfully scale this technology, organisations must follow three key strategic imperatives. First, they need to redesign work with a zero-based approach, starting with the desired outcome and reinventing the process to integrate agents rather than just automating existing tasks; this can cut cycle time dramatically. Second, they must embed their company’s unique context into the agents by defining clear objectives, connecting them to proprietary data and tools, and setting robust constraints, thereby turning generic outputs into distinctive institutional intelligence. Finally, companies must assemble a shared AI platform that provides common infrastructure, orchestration frameworks, and governance to enable different functions to innovate quickly while ensuring consistency and compliance, which BCG estimates can lead to significant cuts in costs and time to market.

The state of AI in 2025: Agents, innovation, and transformation

The McKinsey report finds that almost all organisations are now using AI, and many are experimenting with AI agents, but most have yet to capture enterprise-level value. The survey shows that while 62% of organisations are at least experimenting with AI agents, nearly two-thirds have not yet begun to scale AI across the enterprise. Leading indicators are positive, with organisations reporting use-case level cost and revenue benefits. Companies designated as “AI high performers” those achieving the greatest value are distinguished by their focus on using AI to drive growth and innovation, in addition to efficiency. A critical factor for these high performers is redesigning workflows to integrate AI. The report concludes that as AI capabilities mature, embedding AI more fully into the enterprise will offer organisations new ways to capture value and create competitive advantage.

Match Your AI Strategy to Your Organisation’s Reality

The HBR article argues that most AI initiatives fail because of a misalignment between a firm’s technological ambition and its operational reality (citing the failure of GM’s AI-designed seat bracket versus Apple’s successful metalenses). To ensure success, the authors propose a framework based on two dimensions: Value-Chain Control (influence over the path from idea to market) and Technological Breadth (range of interconnected technologies). This framework defines four viable AI innovation strategies: Focused Differentiation (optimising a single domain), Vertical Integration (embedding AI across owned processes for operational excellence), Collaborative Ecosystem (partnering for fundamental discovery), and Platform Leadership (shaping industry standards and infrastructure). The article concludes that the defining challenge is human; initiatives fail when employees resist. Success requires choosing the strategy that fits organisational reality and engaging people to collaborate with algorithms.

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