Prompt to Production Risk
Six operating realities leaders must resolve before enterprise AI moves from pilots into production.
Advising CIOs, business leaders, and boards on their most complex transformation challenges — across industries, ERP platforms, and 30+ countries.
With over two decades in global enterprise consulting, Gaurav has led large-scale transformation programs spanning 30+ countries, multiple ERP platforms — including SAP, Oracle, and Microsoft — and some of the most demanding industries in the world. He has a track record of shaping technology strategy for Fortune 500 organizations, building and scaling high-performing global delivery teams, and driving programs where the stakes are measured in billions, not millions.
Practical insights from two decades in the trenches of enterprise transformation.
Focused executive briefings for leaders who need a practical point of view before going deeper into articles, books, or advisory discussion.
A concise view of control layers, human oversight, decision integrity, and the operating rules needed before AI scales.
Read briefing →What changes when copilots and agents interact with finance, HR, procurement, audit trails, and enterprise workflows.
Read briefing →A guided route across AI, ERP, data, architecture, control, and the operating questions that matter to technology leaders.
Read briefing →The books go deeper than the articles and briefings. They are designed for leaders working through AI governance, consumption discipline, risk, architecture, ERP, and operating control.
Six operating realities leaders must resolve before enterprise AI moves from pilots into production.
A practical view of AI-driven exposure across access, identity, workflow authority, and enterprise control.
A practical playbook for matching AI demand to the right model, cost, control pattern, and operating owner.
Enterprise AI is moving from adoption to consumption. Leaders now need workload routing, model selection discipline, cost visibility, and governance at the point of use.
AI-era ERP delivery requires more than faster test creation. It requires continuous assurance of business outcomes, controls, integrations, data, and AI-enabled behavior.
AI is weakening the trust signals enterprises use to decide what looks legitimate, what deserves confidence, and what should trigger action.
AI systems are inheriting access and authority across enterprise workflows — but identity controls and segregation of duties haven't caught up.
A framework for maintaining human oversight and accountability as AI scales across enterprise operations.
AI delivers early wins in ERP pilots. Scaling it exposes how decisions, data, ownership, and governance actually operate across the enterprise.
A control-led view of where RAG, copilots, and agents actually belong in sensitive Finance and HR workflows.
A decision-integrity view of AI in ERP: where governance, data, integration, inference, and execution must align before AI-influenced transactions scale.
AI demand, model routing, cost, controls, and operating ownership.
From AI pilots to controlled enterprise use.
AI as an exposure layer across access, identity, and workflow authority.
AI near ERP, finance, HR, procurement, audit, and systems of record.
Platform choices, optionality, architecture, and enterprise lock-in.
A CIO pathway across AI, ERP, architecture, control, and technology leadership.
Book and companion tools for AI consumption discipline.
Executive guide on the operating realities of production AI risk.
Executive guide on AI-driven exposure across identity, access, and workflow authority.
Online reader version for Prompt to Production Risk.
Online reader version for The New Attack Surface.
Online reader version for Right Intelligence, Right Work.
A one-page executive card showing how AI demand should move from idea to measured enterprise value.
A readiness diagnostic for SAP autonomous enterprise foundations, from clean core to runtime governance.
A myth-vs-reality executive card explaining what SAP and Anthropic mean for Joule agents and SAP customers.
A four-stage maturity ladder showing how finance AI moves from assistance to AI-native finance.
A one-page card showing why finance AI is moving from general chat to agent-ready work.
A one-page executive card explaining why AI bills rise and which levers reduce spend.