Design Thinking - ARUN JAIN'S DIARY

Oct 21, 2026

Blogs

Major Breakthrough

MSOCK adds a Connected and Contextual Knowledge layer to Anthropic Claude Code for Financial Services. MSOCK makes an end of Coding as we know it and reduces the software development effort by one-third.

Purple Fabric research team worked with the Deep Domain Intellect Research team to create a Multi-Dimensional Multi-Layer System of Connected Knowledge(MSOCK) to help system designers, business analysts, and consultants to convert their intent into a fully coded application.

MSOCK layer creates an opportunity to convert billions of dollars in investment that financial institutions have made into 3X productivity by its 5-engine technology stack. MSOCK coexists with Claude code and Cursor. It adds a 4th layer, i.e., the Enterprise trusted Knowledge layer to the AI architecture.

MSOCK launched internally for over 141 projects since the breakthrough in May and brought a 21 Dimensional Living Spatial map of software applications like a GPS, to accurately calculate the blast radius of any innovation or regulatory change. MSOCK also comes with 4 types of CNC machines – MSOCK Build Machine, MSOCK Run Machine, MSOCK Change Machine, and MSOCK Modernise Machine—with a complete Command Center.

Launched at GFF, we have received more than 200 enquiries for next-stage dialogue in just 3 days.

For more information on MSOCK, you can visit https://lnkd.in/g2aN98Bh

Intellect Design Arena Ltd, Purple Fabric Anthropic, Claude, OpenAI, NVIDIA, Amazon Web Services (AWS), Microsoft Azure, Jonathan Pelosi, Scott Blanc

Oct 21, 2026

Blogs

Global Fintech Fest 2026

Intellect Design Arena Ltd has unveiled MSOCK at Global Fintech Fest2026.

I am at Booth JF5 at GFF, enjoying the response to what we believe is the critical 4th layer of AI-First Banking: GPU Layer. LLM Layer. Data Layer. Knowledge Layer (MSOCK). Application Layer.

The 4th layer, the Knowledge Layer, is the KEY to accurate AI that delivers real business impact.

Great conversations at JF5. Looking forward to many more.

Oct 21, 2026

Blogs

From Organised Data to Computable Knowledge: The Next Foundation for Enterprise AI

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?

Oct 21, 2026

Blogs

Purple Fabric: Engineering the Future of Production-Grade Enterprise AI

This indeed where Purple Fabric – Open Business Impact AI platform comes into play.

Enterprise AI is not models or Agents but it is an Engineering Problem. There are 8 engineering disciplines are required for solving 64 friction points in journey of Day 2 enterprise AI (Production grade) from Day 1 (POC grade).

Data Engineering
Knowledge Engineering
Digital Expert (Multi agents) Engineering
Experience Engineering
Risk and Governance Engineering
Agents entitlements and security engineering
Deployment Engineering
Finops engineering (Token-economics)

Only few large banks with deep pockets can build their own platforms. It requires 18 different teams to synthesize and build the platform. They are spending over 50 million dollars plus over last 3 years.

At Intellect we have built Purple Fabric with 250 AI researchers over last 9 years.

Thanks for sharing your observations.

Martin Milani

Intellect Design Arena Ltd Purple Fabric

Why Enterprise AI Falls Short? The Missing Platform

Apr 21, 2026

Articles

A lot of Precision, fully connected and self-healing enterprise architecture inspiration can befound in human body architecture.

A lot of Precision, fully connected and self-healing enterprise architecture inspiration can be found in human body architecture.

For AI, we need to learn Human Intelligence.

Human Intelligence comes from understanding Systems Thinking operates in the human body.

The attached diagram is a combination of System Thinking and Framework Thinking.

Mar 25, 2026

Articles

Over the last few years, we have been working towards making innovation more systematic.

Not occasional breakthroughs, but a way of consistently translating ideas into outcomes.

I am delighted to share that we have filed our 36th patent application for Purple Fabric – the Precision Business Impact AI Platform. And during the year, Intellect has filed over 100 patent applications. We are seeking patent protection not just in India but in major Global markets.

These are not just numbers.

They reflect a system we have been consciously building.

A system where research, legal, product and engineering teams come together to continuously identify, articulate and protect ideas. What I often refer to as a patent factory.

This has been enabled by a research team of 1200 technologists, with over 100 inventors already documented and many more who will emerge through this journey.

Alongside this, we have built a strong product creation capability, where these ideas are translated into real enterprise platforms.

This combination matters.

Because innovation is not just about thinking. It is about building, validating and scaling.

Purple Fabric represents this shift. From AI as automation to AI as Precision Business Impact. Where intelligence is embedded into enterprise workflows to deliver measurable outcomes.

Innovation, when approached with discipline, can be made repeatable.

My congratulations to all the inventors and teams who are part of this journey.

Mar 20, 2026

Articles

One of the most important shifts we are witnessing today is this.

AI is not about automation. AI is about reimagining the future.

And if that is true, then education itself must be reimagined.

As we mark the 13th anniversary of the 8012 FinTech Design Center, I had the opportunity to engage with students at the Design Spark Challenge 2026 organised by School of Design Thinking. What stood out was not just the solutions they built, but the way they approached problems.

Most of the time, we solve problems that are given to us.

This time, students chose to examine problems within their own ecosystem -their learning, their institutions, and their experience as students. That shift is important.

Because the future of education will not be defined by how content is delivered, but by how problems are framed.

In the age of AI, knowledge is no longer scarce. It is instantly accessible. What becomes critical is the ability to understand the problem, frame it correctly, and design meaningful solutions.

This is where Design Thinking plays a central role.

What I observed over 24 hours was not just learning. It was acceleration.

Students moved from:

understanding the problem
to framing the problem
to defining the solution
to building and testing
to finally storytelling their ideas

This entire cycle, which typically takes months in academic or enterprise environments, was experienced in just 24 hours.

That is the real insight.

The capacity to learn, think, and execute is far greater than we assume. What limits us is not capability, but structure, approach, and often, distraction. When structured thinking meets the right tools, the outcome is fundamentally different.

With platforms like Purple Fabric, students were able to move beyond simple use cases and begin thinking in terms of orchestrated, intelligent systems – not automation, but reimagination.

Equally important was what they learned about themselves.
Time management.
Team collaboration.
Breaking down complexity.

And most importantly, understanding how their own mind works.

If we can help students observe how they think, how they learn, and how they solve problems, we are not just preparing them for jobs.

We are preparing them to shape the future. Because the real opportunity in the AI era is not limited to jobs.

It lies in the ability to solve problems at scale.

India, with its diversity and complexity, offers one of the largest problem landscapes in the world. The question is whether we are preparing students to engage with it meaningfully.

Design Thinking provides that lens. AI amplifies that capability.

Together, they can redefine how we learn, build, and create impact.

Mar 18, 2026

Articles

Beyond Programs: 13 Years of Architecting a Culture of Design

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?

Mar 17, 2026

Articles

The Future of Education: Moving from Content Delivery to Problem Discovery

One of the most important shifts we are witnessing today is this.

AI is not about automation. AI is about reimagining the future. And if that is true, then education itself must be reimagined.

As we mark the 13th anniversary of the 8012 FinTech Design Center, I had the opportunity to engage with students at the Design Spark Challenge 2026 organised by School of Design Thinking. What stood out was not just the solutions they built, but the way they approached problems.

Most of the time, we solve problems that are given to us.

This time, students chose to examine problems within their own ecosystem -their learning, their institutions, and their experience as students. That shift is important

Because the future of education will not be defined by how content is delivered, but by how problems are framed.

In the age of AI, knowledge is no longer scarce. It is instantly accessible. What becomes critical is the ability to understand the problem, frame it correctly, and design meaningful solutions

This is where Design Thinking plays a central role.

What I observed over 24 hours was not just learning. It was acceleration.

Students moved from:

understanding the problem
to framing the problem
to defining the solution
to building and testing
to finally storytelling their ideas

This entire cycle, which typically takes months in academic or enterprise environments, was experienced in just 24 hours.

That is the real insight.

The capacity to learn, think, and execute is far greater than we assume. What limits us is not capability, but structure, approach, and often, distraction. When structured thinking meets the right tools, the outcome is fundamentally different.

With platforms like Purple Fabric, students were able to move beyond simple use cases and begin thinking in terms of orchestrated, intelligent systems – not automation, but reimagination.

Equally important was what they learned about themselves.
Time management.
Team collaboration.
Breaking down complexity.

And most importantly, understanding how their own mind works.

If we can help students observe how they think, how they learn, and how they solve problems, we are not just preparing them for jobs.

We are preparing them to shape the future. Because the real opportunity in the AI era is not limited to jobs.

It lies in the ability to solve problems at scale.

India, with its diversity and complexity, offers one of the largest problem landscapes in the world. The question is whether we are preparing students to engage with it meaningfully.

Design Thinking provides that lens. AI amplifies that capability.

Together, they can redefine how we learn, build, and create impact.

Intellect Design Arena Ltd Purple Fabric Dr. Anbu Rathinavel

Mar 11, 2026

Articles

As we mark 13 years of the 8012 FinTech Design Center, I find myself reflecting not just on 2013,

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?

ARUN JAIN'S DIARY

ARUN JAIN'S DIARY

Major Breakthrough

Family

Reflection

Workplace

Community

Major Breakthrough

From Organised Data to Computable Knowledge: The Next Foundation for Enterprise AI

Purple Fabric: Engineering the Future of Production-Grade Enterprise AI

A lot of Precision, fully connected and self-healing enterprise architecture inspiration can befound in human body architecture.

Over the last few years, we have been working towards making innovation more systematic.

One of the most important shifts we are witnessing today is this.

Beyond Programs: 13 Years of Architecting a Culture of Design

The Future of Education: Moving from Content Delivery to Problem Discovery

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ARUN JAIN'S DIARY

ARUN JAIN'S DIARY

Major Breakthrough

Family

Reflection

Workplace

Community

Change making, Design Thinking, Technology

ABOUT ME

CATEGORIES

SOCIAL CONNECT

NEWSLETTER

TAGS