Enterprise AI.Independent.No agenda.
I write about what it takes to integrate AI into complex enterprise environments - SAP landscapes, legacy architecture, governance constraints, and the real economics of inference at scale. No vendor agenda. No hype.
Written for CIOs, architects, and enterprise technology leaders
Three things I do. All of it free.
I write to share what I learn at the intersection of enterprise architecture and AI, build demos to make complex ideas concrete, and host a community where practitioners help each other. No charge. Ever.
Enterprise AI Perspectives
I write about the real challenges of integrating AI into enterprise landscapes - SAP ecosystems, headless architecture, agentic systems, inference economics, and context engineering. Written for technical leaders making high-stakes decisions.
Demo Systems & Experiments
I build AI systems to make abstract concepts concrete for enterprise audiences. Each demo is live and documented with architecture decisions, not just output.
The AI Edge - Free Community
A free monthly session where practitioners learn to apply AI in real enterprise environments. No fees, no upsells - just rigorous, practical learning with peers.
How I engage
No pitch. No invoice. Just an honest conversation.
Read
Start with the Perspectives. If the framing resonates with how you think about enterprise AI challenges, that's a signal we'll have a useful conversation.
Reach Out
Send a message with your specific challenge. No form to fill out - just email or LinkedIn. I read every message personally.
Conversation
A candid 30-minute call. No proposal at the end, no follow-up sales sequence. If there's something I can help with, we'll both know quickly.
Ideas worth acting on.
Written for CIOs and enterprise technology leaders navigating the shift to AI - with the complexity of real IT landscapes in mind.
Finally - AI writing that speaks to the realities of enterprise IT, not just startup greenfield. This is what CIOs actually need to read.
- VP of Technology, Fortune 500
Built to show. Shared to teach.
Live AI systems built to prove enterprise architecture patterns. Each is documented with design decisions, not just output.
Agentic Workflow Orchestrator
A multi-agent system that demonstrates how enterprise tasks can be decomposed, routed, and executed across specialised agents with human-in-the-loop checkpoints at defined risk thresholds.
- ·Decomposes enterprise tasks into specialised subtask chains
- ·Routes work across agents with role-scoped permissions
- ·Human-in-the-loop checkpoints at defined cost and risk thresholds
- ·Audit trail per step — every decision logged and explainable
Enterprise AI Readiness Assessment — assess your organisation
A structured diagnostic that evaluates AI readiness across five enterprise dimensions: data infrastructure, integration architecture, governance maturity, talent, and strategy alignment.
- ·Scores readiness across data, integration, governance, talent, and strategy
- ·Generates a structured diagnostic report with dimension scores
- ·Surfaces specific gaps with prioritised recommendations
- ·Built on Claude API with structured output and enterprise architecture framing
Inference Cost Modeller
A planning tool that models inference costs at enterprise scale across different model tiers, context lengths, and usage patterns.
- ·Models token costs across model tiers (Opus / Sonnet / Haiku)
- ·Accounts for context length, call frequency, and caching strategies
- ·Outputs cost comparison matrix for different deployment patterns
- ·Designed for CIOs sizing AI budgets before platform commitment
SAP Context Bridge
An experiment in connecting SAP transactional data to a language model context window - enabling natural language queries across ERP data without exposing raw APIs.
- ·Bridges SAP transactional data and CRM signals in a single context window
- ·Natural language churn-risk analysis across two disconnected systems
- ·Demonstrates the context engineering pattern for enterprise RAG
- ·Live Claude API calls with structured SSE streaming output
Why I write. Why I share.
- Experience
- 25 years · Enterprise IT & SAP Transformation
- Background
- Cognizant · Capgemini · Hitachi
- Education
- B.Tech, NIT Calicut · MBA & MS (IT Management), Jindal School of Management / UT Dallas
- Research
- PhD Scholar, IIM India & Bordeaux University, France · AI Applications in Enterprise
- Location
- Frisco, Dallas TX
- Community
- The AI Edge - Free Monthly Sessions
- Approach
- Pro bono - No Charge, No Agenda
I've spent 25 years running large-scale IT and SAP transformation programs for Fortune 500 clients - the kind with $100M+ budgets, multi-year timelines, and very little room for vendor hype. I currently lead SAP S/4HANA Greenfield initiatives and advise CXO and business leaders on embedding AI into existing enterprise landscapes.
I graduated from NIT Calicut, one of India's premier technology institutions, and hold an MBA and MS in IT Management from Jindal School of Management at UT Dallas. I'm a PhD Scholar at IIM India and Bordeaux University, France, where my research focuses on the application of AI in enterprises. That's the experience this site is written from.
The question I hear most often from CIOs and technology leaders is not "should we do AI?" - that decision has already been made. The question is "how do we integrate AI into what we already have" and that question is much harder than the vendors acknowledge.
SAP landscapes, legacy integrations, data governance, inference costs, autonomous agents - the complexity is real and it compounds. What it requires is clear thinking, architectural discipline, and honest trade-off analysis.
I write about these problems because I find them genuinely fascinating, and because I believe the enterprise technology community deserves more independent analysis and fewer vendor-sponsored perspectives.
Everything I share is pro bono. I do this in my spare time because I believe clear thinking about enterprise AI should be accessible to the leaders who need it most and not gated behind a consulting retainer.
A free community forpractitioners who want toactually use AI.
Every month I host a free live session on practical AI application - moving from theory to implementation. I started it because I couldn't find AI education that spoke honestly to the constraints of enterprise environments. No fees. No upsells. Just rigorous, practical learning with peers.
Join for free →- Monthly live session - 1st Wednesday, 1 hour
- 20 members: business owners, technologists, and practitioners
- Full recordings + curated resource library
- Monthly deep-dives on enterprise AI topics
- No technical prerequisite - curiosity is the only requirement
“The most grounded AI education I've encountered. It bridges the gap between what vendors promise and what enterprise IT actually has to work with.”
Common questions
Let's exchange ideas.
Working through an AI integration challenge? Want an honest conversation with someone who's been in the room - not a vendor pitch deck? Reach out.
Get new perspectives in your inbox
Occasional. No noise. Unsubscribe anytime.
I read every message personally and reply within 48 hours.