Volume 25 | April 2026

Foreword

Moving from Agents to Digital Experts

Enterprise AI is moving beyond experimentation towards structured, outcome-driven adoption. This shift marks the transition from generic agents to domain-trained Digital Experts that bring context, precision and accountability into decision-making.

Agents can execute tasks, but Digital Experts are designed to understand workflows, apply domain intelligence and operate within governed frameworks. At Intellect, this thinking shapes Purple Fabric, where intelligence is embedded directly into business processes to deliver consistent and measurable outcomes.

The future of AI will not be defined by how many agents are deployed, but by the depth of expertise engineered into them.

arun-jain-135x150.png
Arun Jain
Chairman and MD of Intellect Design Arena,
Chief Architect of Purple Fabric

Cover Story

Purple Fabric Accelerates Enterprise AI Adoption in India

A leading Indian financial services group has selected Intellect’s Purple Fabric to drive enterprise scale AI transformation across its ecosystem. This marks a significant milestone for Purple Fabric in India and reflects growing confidence in governed, enterprise-ready AI for regulated institutions.

With a diversified portfolio spanning lending, insurance, payments and wealth, the group aims to embed Business Impact AI across workflows. Purple Fabric will enable measurable outcomes, stronger governance and accelerated innovation at scale.

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Spotlight:

Masterclass on the Science of Business Impact AI

Recently, Arun Jain, CMD of Intellect & Chief Architect of Purple Fabric, delivered a Masterclass in Bengaluru at the Indiaspora Global AI Summit on “Science of Business Impact AI: Moving from Agents to Digital Experts”. The session brought together global participants to explore how enterprises can move beyond AI experimentation towards building precise, outcome-driven systems, powered by Purple Fabric, Intellect’s Open Business Impact AI platform.

Arun was joined by Hitesh K Arora, Global Program Manager, Purple Fabric, during the masterclass.

The masterclass introduced the concept of the Triadic Engine of Knowledge, Reasoning, and Context to enable Precision AI, highlighting how organisations can design AI systems that deliver higher accuracy and measurable business impact. Arun also demonstrated TeamSpace, a next-generation capability built on Purple Fabric, that enables organisations to create a digital workforce of agents and experts acting as enterprise digital twins.

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Recent Success & Implementation

Intellect in the News

Industry Watch

How agentic AI is transforming financial services

Processing mortgage applications is one of the most manually intensive workflows in financial services. A homeowner may meet a single loan officer, but behind the scenes much larger teams grind through compliance checks, document reviews and underwriting—45 distinct steps in some cases. Such processes are ripe for reinvention by agentic AI.

Mortgage approvals are only one illustration of a broader pattern. The combination of regulatory pressure, vast quantities of data and operational sprawl—characterised by repetitive tasks handled by numerous stakeholders—has made financial services one of the fastest adopters of enterprise AI…

AI is shifting from pilot and experimentation to scaling

The Deloitte AI Institute today unveiled the 2026 edition of its “State of AI in the Enterprise” report. The report describes how organizations are currently engaging with AI and the impacts, changes, and considerations this technology is introducing. The findings are based on a survey of over 3,000 executives worldwide with direct involvement in their companies’ AI initiatives. The report explores AI’s transformational potential and momentum, with critical actions for leaders to consider as they continue their AI journey.

“Across the enterprise, we’re seeing massive ambition around AI. Organisations are starting to pivot from experimentation to integrating AI into the core of the…

Reimagine learning and development for the AI age

In the AI age, reskilling and upskilling will be required on a scale that hasn’t been seen before. By 2030, 59 percent of the world’s workforce will require training, according to the World Economic Forum’s Future of Jobs Report 2025. Additionally, as automation begins to scale to tasks historically completed by junior and entry-level roles, organizations should rethink approaches to early career development. Learning and development (L&D) will become part of the engine of organizational performance, adaptability, and resilience—not just a support function.

Companies will need a new shape of talent to unlock the potential of agentic AI. As workflows evolve to include..