AI consulting, advisory and training · Hyderabad, serving India and abroad hitesh@256tec.com
AI expert and advisor · Founder, 256 Technologies

From a bank's production systems in Frankfurt to an applied AI lab in Hyderabad.

Dr. Hitesh Sarda is an AI advisor based in Hyderabad. He runs 256 Technologies and leads every engagement himself. Most of his work is helping a leadership team settle one AI decision at a time: whether a use case is worth doing, whether to buy or build, and how to test it cheaply before anyone commits a budget.

Dr. Hitesh Sarda, founder of 256 Technologies
Dr. Hitesh SardaFOUNDER, 256
How he got here

25 years in software, on both sides of the demo.

After an MBA he was placed into the technology arm of a large global bank, a job that took him to Frankfurt for seven years of building, running and supporting enterprise-scale systems.

He has also done the opposite kind of work. He co-founded startups twice, and at INSORCE, which sold technology to global financial institutions, he was technical co-founder and CTO: budgets, hiring, architecture, product management and writing code in the same week.

Since then he has worked across banking, payments, automation and retail, including production systems work at Citi, Virtusa, Yash and ValueLabs, and loyalty and marketing technology at OptCulture, where he is now an advisor.

"I have watched several waves of technology arrive with the same promises, and I know what the gap between a demo and a production system costs, because I have worked on both sides of it."

Early to the hard parts

  • 2009Started writing about software and technology every week, and has kept it going since.
  • 2011Finished Stanford's online machine learning class and published his notes.
  • 2017Delivered robotic process automation to customers, and argued it was useful duct tape, no substitute for fixing the process. Spoke on a blockchain panel at Fintech Valley Vizag with HDFC Life, SBI and KPMG.
  • 2018-20Wrote on GDPR, ISO 20022 and banking regulation, the unglamorous rules that decide what software in finance is allowed to do.
  • 2026Completed a Doctor of Business Administration at IIBM Institute and SIMA Switzerland, published a free book on AI agents, and was profiled in ET Focus, Hyderabad, on India's AI opportunity.
What he believes

A few ideas that run through every engagement.

AI adoption is mostly an organizational problem

The technology is the easier half. Who owns the work, and how the team changes, decides whether it sticks.

Most companies should buy before they build

Build when the workflow is your differentiator and you have the engineers to maintain it.

A pilot exists to reduce uncertainty

So design it to tell you the truth about the business, including when the answer is no.

The model is a commodity

Your data, your workflow and how fast your company learns are where the advantage is.

Credentials
Doctorate, 2026DBA dissertation on how 371 B2B SaaS companies price and package AI features
AuthorImplementing AI Agents in Your Company, a free book for managers
SpeakerAWS ISV Ignite, IIM Udaipur, RAI Visakhapatnam Retail Summit, Fintech Valley Vizag
EducatorTrained 86 senior leaders in one AI program across three continents
Industries

Where he has done the work.

Banking and payments

Where Hitesh spent his first decade, in Frankfurt and beyond

Retail and loyalty

Store analytics, loyalty and marketing technology, shopper agents

Infrastructure and engineering services

AI leadership program for 86 senior leaders

Manufacturing

Quality, tool and machine monitoring, discrete and continuous

SaaS

AI features, pricing and packaging

Something else?

If the problem is clear, the industry rarely matters. Ask us.

Start here

Bring one AI decision you are stuck on.

An hour, free, on one problem. Write a few lines about it; Hitesh reads every request himself and usually replies within a couple of working days.