Santosh
Sahoo
Global Head — Data Foundations Consumption, MuleSoft + Informatica (Salesforce)
“Driving consumption growth and commercial impact at the intersection of AI, SaaS, and GTM.”
In Brief
Who I Am
I lead Data Foundations Consumption at MuleSoft + Informatica — a $900M+ portfolio where I'm responsible for driving commercial adoption and measurable value for enterprise customers across global enterprise accounts. My work sits at the intersection of AI strategy, GTM execution, and operating models.
Over 20+ years spanning TCS, Infosys, Tech Mahindra, Cognizant, and MuleSoft, I've developed a core belief: the gap between what technology can do and what organizations actually consume from it is the defining challenge of the AI era. I build frameworks to close that gap.
I write regularly about AI strategy, enterprise integration, customer success, and GTM — views are personal. Outside of work, I'm a proud dad to Shan and Sachi.
Proprietary Frameworks
How I Think About Enterprise Value
Three frameworks developed across 20+ years of enterprise technology leadership. Each one built to solve a specific gap between capability and consumption.
AI Platform Relevance
CARGO
Composability · Actionability · Reusability · Governance · Orchestration
A five-dimension framework for evaluating enterprise AI platform relevance across hybrid, legacy, and AI-native contexts. CARGO answers the question every enterprise architect is quietly asking: can this platform actually operate at our scale — not just in a greenfield demo?
Customer Interaction Velocity
TTC
Time to Credibility
In the age of knowledge abundance, every customer interaction must lead with value — or it will be the last one. TTC measures how quickly you earn the right to a second conversation, and gives you the preparation framework to dramatically shrink that time.
Expansion Signal Model
ICB
Ideal Customer Behavior
ICP tells you who will land. ICB tells you who will expand. ICB identifies the specific behavioral patterns of customers who grow — and turns those patterns into leading indicators for commercial strategy. 'Who they are' predicts landing. 'How they behave' predicts expansion.
Writing
Latest from the Blog
Essays on enterprise AI, integration strategy, customer success, and the occasional reflection on leadership.
AI Will Be Diffused Through Software — Not Vibe-Coded Apps
The next phase of enterprise AI isn't standalone AI apps. It's AI embedded into the software enterprises already run. Context is the delivery mechanism.
Doing vs. Learning: Why You Need to Build Something Real with AI
Watching demos, reading papers, and taking courses is not the same as building something real with AI. The learning gap in enterprise AI is a doing gap.
2026 Prediction: Context Is All You Need
Every AI capability gap I see in enterprise today comes down to one missing ingredient: trusted, real-time context. The organizations that solve context will win the AI decade.
Let's Talk
Working on an enterprise AI challenge?
Whether it's a speaking engagement, advisory conversation, or just comparing notes — I'd like to hear what you're working on.