Dr. Ashish Sridhar

Everyone can buy AI now.
The advantage is in using it well.

Most businesses today have access to the same AI the largest firms use. Very few have someone who can turn it into results. I work with a small number of businesses in person — on site, alongside your team — to turn that gap between owning the tools and applying them well into something measurable. That is the whole of what I do.

How I work
Doctorate in Computational Science·Magna Cum Laude · University of Stuttgart·A decade leading enterprise engineering software across Europe & the US·Global Product Manager @ Siemens·Certified AI Architect·Doctorate in Computational Science·Magna Cum Laude · University of Stuttgart·A decade leading enterprise engineering software across Europe & the US·Global Product Manager @ Siemens·Certified AI Architect·

57% → 25%.

The share of businesses that call AI central to their growth, against those who have actually put it to work. Belief is settled. Execution is the opening.

Vi Business MSME Growth Insights Study, 2026

Nearly 2×.

Businesses that adopt AI are close to twice as likely to report year-on-year growth, and 91% of those using it say it has lifted revenue. The upside is no longer theoretical.

Salesforce Small Business Trends, 2025

95%.

The share of AI initiatives that deliver no measurable return — and the cause is the approach taken, not the technology itself. The tools rarely fail. The way they're applied does.

MIT, State of AI in Business, 2025

78%.

The proportion of businesses now placing operational efficiency above revenue growth as their first priority. The appetite is not in question.

CyberMedia Research, 2026

Tools are now abundant.Judgment is not.

Generic AI is powerful, and blank. It knows almost everything — except your products, your people, your numbers, and what “good” looks like inside your business. The research is unambiguous: where AI fails, it fails on approach, not on the model. Turning raw capability into something that genuinely works for you is a different skill entirely. That is the work — and it's the whole of what I do.

A doctorate in the science. A career building the tools.One agenda — yours.

For over a decade I have led enterprise engineering and simulation software relied upon by some of the world's largest companies across Europe and the United States. My doctorate is in computational science — the mathematics beneath modern AI, not a strategy deck's version of it. I bring that same standard to businesses here, in person, without the enterprise price or the vendor's agenda.

The science. A PhD, awarded Magna Cum Laude, in the foundations of AI and simulation.
The experience. A career leading software that serious operators depend on — I understand how real businesses run, not only the technology.
The stance. Certified in applied AI architecture, and independent by design: no software to sell, no commissions to earn.

My work answers to one test — whether it earns its place in your business.

It begins with a conversation, in person.

Every engagement starts the same way — I sit down with you, at your business, to understand how it truly runs, the pressures you carry, and what you actually need. From there we proceed in measured steps. I work with clients in person and on a continuing basis rather than remotely or in one-off projects; the value compounds when someone is close to the business, month after month.

01

Clarity.

We sit down together, on site, and I learn how the business truly runs. You leave with an honest reading of where AI earns its place, where it does not, and what to do first.

02

Change.

We put that judgment to work in deliberate steps — turning it into real, working capability, proven in weeks rather than promised in quarters.

03

Capability.

The measure of the work is what remains. Because we work together over time, each month builds on the last, and the capability becomes yours to keep.

I work with a few businesses closely, not many lightly.

This is for you if —

  • You lead an established business and treat AI as a serious lever, weighed like any capital decision.

  • You want it done properly and built to last — not a demo that impresses in the room and stalls a month later.

  • You'd rather have one trusted expert on site and accountable than manage a shelf of tools and vendors.

  • You expect your data, your methods, and your people to be protected.

The small frictions worth fixing first.

  • "How can a small manufacturing business in India use AI without hiring a full-time data science team or buying expensive software?"

  • "My competitors say they use AI but I think it's just marketing — how do I tell what's real and what actually gives ROI for an SMB?"

  • "Is my company data safe if my staff start using ChatGPT for quotations and customer emails, and how do I control this?"

  • "How to use AI for GST reconciliation, purchase orders and vendor follow-ups in a small Indian company without changing my ERP?"

  • "We get 200 WhatsApp enquiries a day and lose track of many — can AI help my sales team follow up automatically?"

These are illustrations, not a list of services — and they're where we usually begin: small, visible wins delivered in weeks, not quarters. The deeper work compounds from there.

I buildwhat I recommend.

This website. Built overnight. With AI.

Every word of copy, every layout decision, and every line of code on this page was produced in a single evening — using the exact same publicly available AI tools you use daily. The gap between owning the tools and getting results is real. Closing it is what I do.

In my own business.

I co-founded and run a consumer brand, and built the AI systems behind much of its content, operations, and day-to-day decisions. I don't recommend anything I haven't first trusted with my own name and my own money.

Marketing material, from weeks to same-day.

For an established business, I streamlined how marketing and poster designs were produced across multiple languages — work that used to take about a month now turns around in a fraction of the time, without adding headcount.

Lead discovery, done in a fraction of the time.

For the same business, I rebuilt outbound lead discovery around AI — identifying and vetting prospects that were previously found and checked by hand, freeing the team from hours of manual searching to spend their time on the leads that matter.

Frequently asked questions

You may becloser than you think.

A single, unhurried conversation — no pitch, only a clear view of where AI belongs in your business, and where it does not.

I work with a small number of businesses at a time, in person.