About The AI Decision Brief
Independent buyer-side analysis for enterprise leaders making AI investment, architecture, vendor, governance, and operating-model decisions.
The AI Decision Brief helps senior leaders make better AI decisions before they commit budget, architecture, vendors, governance, or reputation.
I’m Pradeep Sanyal: AI leader, enterprise AI advisor, former CIO and CTO, and former AWS Principal. I advise executives on AI strategy, CAIO operating models, governance, architecture, adoption, and the path from experimentation to production.
I created The AI Decision Brief for leaders who are tired of AI theater.
Enterprise executives are being asked to make expensive AI decisions with incomplete information, aggressive vendor claims, immature operating models, uncertain regulation, and board-level pressure to move faster. The market has plenty of AI coverage. Much of it explains what happened. Less of it helps the person who has to approve the budget, defend the architecture, manage the risk, or explain the decision when the pilot becomes a production system.
This publication is built for that person.
Each issue takes one AI market signal, vendor move, product launch, regulation, earnings call, architecture shift, or operating-model story and turns it into practical decision guidance. The focus is not on chasing every announcement. The focus is on what changes for enterprise leaders making AI investment, architecture, vendor, governance, and operating-model decisions.
What makes it different
Buyer-side analysis.
The AI Decision Brief evaluates AI from the perspective of the enterprise buyer, not the vendor, investor, or hype cycle.
Operator judgment.
The analysis is grounded in the realities of large organizations: legacy systems, procurement pressure, messy incentives, risk committees, board scrutiny, data politics, integration debt, and accountability that does not disappear because a demo looked good.
CAIO-level framing.
The publication treats AI as an operating-model decision, not just a technology rollout. That means decision rights, governance gates, funding models, architecture choices, adoption patterns, risk ownership, and production readiness.
Decision-grade assets.
Paid subscribers receive materials built for internal use: executive memos, board-ready summaries, vendor risk signals, architecture and governance questions, and practical checklists.
What you can expect
Original analysis on enterprise AI strategy, economics, architecture, adoption, governance, and operating models.
Sharp buyer-side perspective on vendor claims, platform decisions, model choices, agentic systems, AI infrastructure, security, procurement risk, and implementation readiness.
Clear explanations of what AI can and cannot do inside large organizations, where incentives are messy, systems are old, data is political, and accountability does not fit neatly inside a demo.
Decision-focused frameworks that help leaders ask better questions before approving a contract, expanding a pilot, briefing a board, redesigning a workflow, or committing to a platform strategy.
Free and paid editions
Free subscribers receive selected analysis from The AI Decision Brief.
Paid subscribers receive the full Decision Kit behind each issue: executive memos, board-ready summaries, vendor risk signals, architecture and governance questions, and practical checklists built for internal use.
The free edition gives you the argument.
The Decision Kit gives you the materials to use inside your organization.
Subscribe if you want AI analysis written for the people who have to make the decision, not just discuss the trend.
You can also find me on LinkedIn
