We always believed that Purple Fabric is truly Business Impact enterprise AI platform with 8 Engineering stacks
Data & Integration Engineering
Knowledge Engineering
Digital Expert Engineering
Experience Engineering
Security Engineering
Governance & Evaluation Engineering
Runtime & Operations Engineering
AI FinOps & Value Engineering
The platform where entire enterprise create their own Digital Twins driving double the Thruput.
Economic Times recognition has stamped that Superiority.
I enjoyed the wonderful chat with Akhila on why did I choose Chennai as a place for building World disrupting tech research which led to full Financial stack eMACH, Purple Fabric – The enterprise AI platform and MSOCK for changing the world without coders.
Very beautifully dialogue.
RDBMS Organised Data. MSOCK Organises Knowledge.
Fifty years ago, enterprises faced a fundamental problem. They had enormous amounts of data, but it was fragmented and difficult for applications to use. RDBMS changed that. It organised data, established relationships and made data computable. It became foundational to enterprise computing.
Today, AI faces a similar problem – with knowledge.
Banks have decades of knowledge distributed across code, databases, APIs, business processes, policies, regulations, documents and, importantly, people’s minds.
Foundation models are extraordinarily intelligent. But they do not inherently understand these relationships.
AI knows the world. But it doesn’t know your bank.
It may know how to write code. But does it know why a transaction rule was written 12 years ago? Which customer journey depends on a legacy service? Or what else could break if one API is changed?
This led us to a simple thought: RDBMS made enterprise data computable. Can we make enterprise knowledge computable?
That question led our Applied AI Research Lab to build MSOCK – Multi-Dimension, Multi-Layer System of Connected Knowledge.
It connects enterprise knowledge across Business, Operations & Technology, making it connected, computable and visual through a 21D Visual Spatial Graph.
We believe this connected knowledge layer can make foundation models from Anthropic and OpenAI more accurate and context-aware for enterprise use in financial services. We have filed 39 patents covering the technology behind MSOCK. Today, at Global Fintech Fest, we are introducing MSOCK to the world for the first time.
This takes us to the next question.
Intelligence answers “How?”
Wisdom answers “Should?”
For AI to transform a mission-critical bank safely, it needs more than the ability to generate answers. It needs the context to understand the impact of those answers.
That is where I believe Cognitive Engineering begins. And I see an opportunity here that is larger than MSOCK itself.
For four decades, India built a remarkable global technology industry through engineering talent, execution capability and cost advantage.
AI gives India an opportunity to change that operating model – from cost arbitrage to knowledge-led engineering; from exporting capacity to exporting intellect. Can India move from building the world’s software to building the intelligence that transforms it?
I believe we can. MSOCK is our contribution to that journey.
I have shared the thinking behind MSOCK in the Open Letter attached to this post published in The Economic Times today
I would particularly value the perspectives of banking CIOs, CTOs, AI architects, researchers and our technology ecosystem partners as we explore this next operating model together.
If RDBMS became fundamental to the data-driven enterprise, can connected knowledge become equally fundamental to the AI-governed enterprise?
Bridging timeless knowledge with future-ready leadership.
I spoke about Jain System of Knowledge In context of professional world at Jain Acedemy of Scholars yesterday.
I connected Jain Philisophy and scriptures to 10 layer architecture of perceiving, knowing and intelligence.
In section 2, I connected various layers of System of Knowledge Architecture with four cognitive sciences – Design Thinking, First Principle Thinking, Framework Thinking and System Thinking.
In section 3, I connected 10 layer SOK with 5 pillars of leadership starting from knowing self, Capacity to think, capacity to act, Concious learning and decision making.
Section 4 I try to connect in various roles like Mental wellness, entrepreneurship, AI ethics, Sustainability and Digital Behaviour.
This is the first attempt to connect Ancient Wisdom with Modern Relevance and Future Resposibility. I would like your insights and comments to make it better.
You can view the presentation on The Jain System of Knowledge in this link –
https://lnkd.in/ggj3Px64
My Diary – reflections on what is institution vs company.
Institutional Power : The capability to institutionalize excellence by embedding purpose, governance, learning, and renewal into enduring systems that coordinate people effectively and remain relevant across generations.
Enduring Systems – Enduring systems are self-renewing architectures that preserve purpose while continuously regenerating people, knowledge, culture, governance, and resources.
We have the talent, the entrepreneurial energy, and the digital foundation to move beyond consuming technology to building it for the world.
It was a privilege to join Andy Jassy and fellow business leaders in a thoughtful discussion on AI, innovation, and the role India can play in shaping the next generation of intelligent enterprises.
One idea resonated strongly: AI is no longer about experimentation. The real opportunity lies in translating intelligence into measurable business impact – creating outcomes that improve productivity, decision-making, customer experiences, and human potential.
As we navigate this transformation, First Principles Thinking becomes increasingly important. It challenges us to move beyond incremental improvements and reimagine how businesses are designed, operated, and scaled in an AI-powered world.
The next chapter of AI will not be defined by technology alone. It will be shaped by leaders and organisations that can combine intelligence, purpose, and innovation to create meaningful and lasting impact.
Thank you, Andy, for an engaging and insightful conversation.
As we mark 13 years of the 8012 FinTech Design Center, I find myself reflecting not just on 2013, but on a journey that began around 2009, when we were asking a fundamental question at Polaris: how do we transform from a services organisation into a Product and Technology Institution…to be agenda setters.
Between 2009 and 2011, we initiated the Unmukt program to understand the art & science of human thinking, engaging over 1100 associates. While it created energy, the impact was not as enduring as we had expected and that was a defining learning, as it made us realise that thinking cannot be transformed through programs alone, but requires a continuous environment.
This led to the creation of the Design Center as an Inspirational Space, where thinking could be experienced through persona maps, empathy maps, patterns and anti-patterns, and by connecting the dots. The Center took nearly 15 months to design, with multiple iterations, and another 9 months to build.
When it came alive in 2013, it marked a shift in how we approached problems and contributed to the evolution of Intellect Design Arena Ltd in 2014 as a Product and Technology Institution.
Organising the Thinking Space
We learnt that transformation begins with organising the thinking space, because most challenges arise not from lack of intelligence, but from lack of structure in thinking. By bringing structure across imagination, learning, performance, effectiveness, influence and contribution, we moved from reactive to designed thinking.
Expanding the Performance Space
As thinking became organised, it led to expanding the performance space, where we moved beyond incremental problem solving to applying First Principles Thinking and questioning the fundamentals of systems and complexity.
Impacting Business Outcomes through Design Thinking
When thinking is organised and performance is expanded, the outcome is measurable business impact. This is reflected in platforms like eMACH.ai and Purple Fabric, which are outcomes of applying Design Thinking as a discipline to solve complex enterprise problems.
Over the last 13 yrs, more than 1lakh people have experienced the Center, and the real impact has been in how it has helped individuals/ institutions rethink their own thinking.
Design with AI
The next phase is about extending Design Thinking into the era of AI, where the focus is on designing intelligence that is precise, contextual and capable of delivering real business outcomes. Through Purple Fabric, with participation from global institutions, we are moving towards Business Impact (Precision) AI
As we enter this next phase, I would leave you with a question, and I would be keen to hear your thoughts:
Are we still experimenting with AI, or are we truly using it to create measurable business impact? Where do you see your organisation today?
India AI Impact Summit #2
THE WORLD HAS ENOUGH AI.
WHAT IT LACKS IS AI IT CAN TRUST.
Following my previous reflection, several enterprise leaders continued the conversation with a question that I think captures the current moment in AI: “If capability is advancing this fast, why are organisations still cautious about using AI for consequential decisions?”
It is a fair question.
We are seeing extraordinary progress in models, infrastructure, and scale. AI today can analyse, predict, and recommend with remarkable speed. Yet when decisions carry consequence – credit approvals, compliance enforcement, healthcare recommendations, policy execution – hesitation appears. Not because organisations doubt intelligence.
But because they are unsure about reliability.
At the point of consequence, most AI systems remain probabilistic. That works for assistance and exploration. But enterprise decisions require judgment that is accountable, governed, and dependable. Statistical confidence alone is not enough when outcomes must be defended.
We are entering a new phase of the AI era where the constraint is no longer capability. It is trust architecture.
Enterprises do not simply need bigger models; they need structures that translate intelligence into reliable decisions. AI must evolve from being impressive to being dependable.
This belief shaped our work on Purple Fabric, a judgment layer designed to sit above AI capability. Grounded in first principles thinking, it focuses on converting probabilistic intelligence into accountable decision infrastructure. Through deterministic knowledge grids, context-bound reasoning, and reliability governance, the architecture is built to support decisions that are explainable, auditable, and repeatable.
The shift is subtle but fundamental:
from capability to authority,
from intelligence to judgment.
In the long run, AI will not scale where it is smartest. It will scale where it is trusted.
As we participate in the India AI Impact Summit, I look forward to continuing this dialogue with business leaders and policymakers on how enterprises can move from experimentation to reliable AI infrastructure and how India can help shape trustworthy AI at global scale.
India AI Impact Summit #5
AI IS NOT A FEATURE OF THE DIGITAL AGE.
IT IS A REWRITE OF HOW HUMANS DECIDE.
Over the last thirty years, we have lived through a sequence of quiet revolutions.
The internet expanded access to information.
Mobile expanded access to connectivity.
QR payments expanded access to participation.
Each wave did more than introduce technology. It redesigned behaviour. It widened inclusion. It changed who could belong inside the formal economy.
AI is the next wave- but it is fundamentally different.
It is the first technology that scales cognition.
For the first time, we are not merely digitising transactions or communication. We are designing systems that interact with human judgment itself. And when technology touches judgment, the conversation can no longer remain technical. It becomes philosophical. It becomes cultural. It becomes a design question.
In design thinking, we begin with empathy – not with tools. We ask how humans think, how they consult, how they remember, how they decide under uncertainty. Institutions are not built only on data. They are built on shared memory, tacit knowledge, invisible logic accumulated over decades. If AI ignores this human substrate, it will remain impressive but shallow.
This belief shaped our work on Purple Fabric. We did not approach it as a model project. We approached it as institutional design. A platform where knowledge becomes explicit, decision logic is governed, and intelligence can scale without losing accountability.
At the India AI Impact Summit, we launched Enterprise AI on Tap at an entry point of ₹99,500 per month for 50 users. The intention is not to create another personal productivity layer. It is to democratise enterprise cognition.
Through:
organisations can design digital experts and intelligent agents that plug directly into existing systems as APIs.
AI, in this sense, is not competing with humans.
It is amplifying the collective memory of institutions.
And that is why this moment matters for India.
Every previous digital wave expanded participation. AI can expand capability. Because conversational intelligence does not require literacy, privilege, or specialised access.
We are participating in a big way at the India AI Impact Summit from February 16–20 at Bharat Mandapam, New Delhi. If you are visiting, I invite you to experience the Enterprise AI Design Center and engage in this conversation about how India can lead in building trustworthy, inclusive AI infrastructure at global scale.
Because the future of AI will not be defined by who builds the biggest models.
It will be defined by who designs the most humane systems around them.
Foundation Day of Mission Samriddhi
On 12th November 2016, a small meeting of around 25 people at the Design Center laid the foundation for what would become a large family of True Rural Transformation Catalysts.
Each interaction with the Mission Samriddhi community continues to humble me – the depth of knowledge, width of experience, and height of commitment that each of you brings is truly inspiring
Over these years, we have conducted Design Thinking workshops across five dimensions of holistic development – Personal, Social, Economic, Ecological, and Institutional. Through First Principles Thinking, we uncovered core issues, and by applying Systems Thinking, we built repeatable and scalable models for transformation
To me, Mission Samriddhi is a Living University of Humanity – it teaches me something new every single week. In these nine years, not one week has passed without learning, reflection, or inspiration from this collective.
As we often say, we don’t thank our family members – yet today, I want to express my deep gratitude to all of you – my teachers, collaborators, and fellow contributors – for walking together on this journey to make the world a better and more humane place.
Hello, my name is Arun Jain. I am a design thinker living in Chennai, India. This is my blog, where I post my thoughts, technology trends and tips about the fintech world and many more.