AI Advisory
Acting as your fractional Head of AI: strategy, feasibility, ROI modeling, vendor assessment, and roadmaps grounded in real engineering constraints. No hype, no vendor lock-in.
AI Advisor in Hyderabad · Founder, 256 Technologies
I help leadership teams decide what AI to build, buy or skip, and prove it with the smallest pilot that works. 25+ years building production systems at Citi, Virtusa, Yash and ValueLabs; today I run 256 Technologies, an applied AI lab in Hyderabad.
Acting as your fractional Head of AI: strategy, feasibility, ROI modeling, vendor assessment, and roadmaps grounded in real engineering constraints. No hype, no vendor lock-in.
A six-week program that builds an AI-native leadership team: hands-on executive workflows, governance and risk, and a 90-day adoption roadmap that moves leaders from watching to leading.
Tangible code beats theoretical roadmaps. I build the smallest prototype that answers the key technical and business questions, across agents, computer vision, and ML, before you commit to a full build.
Why AI bills keep rising as token prices fall, how caching and model choice move the cost curve, and when a smaller or local model is the better call.
How much autonomy to give an AI agent, how to scope its permissions by blast radius, and how to keep a record of what it actually did in production.
What changes when AI writes most of the code: review becomes the bottleneck, technical debt costs more, and someone has to decide what the agent prefers.
How to run an AI pilot that tells you the truth, when to build versus buy, where AI pays off first, and why the model you pick is rarely your advantage.
What changes for retailers and loyalty programs when AI agents start shopping for people, and which parts of the customer relationship stay worth owning.
Goldman Sachs pulled coding agents from most traders and bankers. The control that works is narrower permissions per agent, and it lets you keep the demand.
Replit went through 6,211 Linux kernel advisories in five months to keep agent code contained. Ask who does that work before you pick a sandbox vendor or decide to build.
A crash bug sat unfixed for two years until AI turned it into remote code execution. Your list of accepted risks was priced for attackers who no longer exist.
A desktop app updated itself and wrote startup instructions into its users' Codex and Claude Code. Agent configuration is now a procurement and governance question.
Postgres 19 slipped after AI found old bugs faster than maintainers could review the fixes. Plan your roadmap around verification capacity, not discovery.
Railway, OpenCode and Northflank each told customers to rotate their secrets within two weeks. The useful question is what a stolen key costs you before you notice.
AI is absorbing the routine incidents that used to train on-call engineers. A timed drill with the AI off shows whether your team can still handle the one that matters.
Instacart's app is the layer shoppers will hand to software. The deal prices what stays scarce, and gives any business that sells through an interface a test to run.
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