THE RARE EXECUTIVE ADVANTAGE

Most executives understand the business. Most technologists understand the data.

Very few speak both languages with equal fluency — and fewer still have built, shipped and scaled both.

That is the whole reason this studio exists, and the reason the advice you get here survives contact with implementation.

Drag around with cursor or two fingers

15+

YRS BUSINESS LEADERSHIP

7+

YRS HANDS-ON ENGINEERING

20+

STRATEGIC ACCOUNTS OWNED

5 mo

to turn a p&l ebitda positive

ON THE BUSINESS SIDE

P&L accountability, commercial strategy, revenue growth, cost engineering, operations and delivery leadership, key-account management and market positioning — across telecom, FMCG, enterprise software and education.

FULL P&L · REVENUE GROWTH · GO-TO-MARKET · DELIVERY LEADERSHIP · EBITDA · OPTIMISATION · KEY ACCOUNTS · CHANGE MANAGEMENT

ON THE TECHNOLOGY SIDE

Full-stack development, AI/ML engineering, data pipeline design, agentic systems and enterprise platform delivery — seven years hands-on, ten-plus leading engineering teams.

PYTHON · PANDAS · SCIKIT-LEARN` `PLOTLY · MATPLOTLIB` `FLOWISE · RAG · AGENTS` `SHAREPOINT · POWER PLATFORM` `UNITY · AWS` `HTML/CSS/JS · SPLINE

WHAT THAT ACTUALLY BUYS YOU

Four things we know that most AI partners are guessing at.

We know what a rollout costs you politically.

The hardest part of any AI project is not the model. It is the person who has done the job one way for eleven years and did not ask for this. We have run a full P&L and rebuilt sales, procurement, logistics, inventory and finance processes inside a business where every one of those changes landed on someone who had not requested it. That is why adoption is a deliverable here and not a hope — we have paid the bill for skipping it.

COMMERCIAL & OPERATIONS DIRECTOR (DEPUTY GM) · FMCG

EBITDA POSITIVE IN 5 MONTHS · +36% GROSS MARGIN · −40% LOGISTICS COST · −60% INVENTORY

We know what a demo is hiding.

We have sold enterprise software, and we have been accountable when it did not land. Twenty-plus clients across banking, consulting, telecom, aviation and manufacturing, with delivery governance, stage gates and project health reporting across the whole portfolio. When we tell you a vendor's proposal will not survive your approval process, or that a quoted timeline has no contingency in it, it is because we have written that proposal and missed that timeline.

CHIEF COMMERCIAL OFFICER · ENTERPRISE SOFTWARE

+25% REVENUE · −15% COST · −25% TURNOVER · GDPR & ISO 27001

We know what happens after launch, because we have been measured on it.

Taking the first mobile cloud-storage and self-care apps from business case to scale is both about the launch and the adoption. And the numbers that mattered were how many people kept using them in month six. The same discipline built a retention program from scratch on behavioral segmentation and predictive scoring: moving it in production for a commercial outcome, years before it was fashionable.

TELECOM HEAD OF MOBILE PRODUCTS & VAS

+50% VAS REVENUE · −40% CONTENT COST · −20% CHURN

We know what we are quoting you, because we build it.

On every NaydIT project the person who scoped it is the person who writes the code. A six-workstream digital transformation for a college — AI tutor, career guidance, distance-learning platform, website, chatbot, AR — was coordinated and engineered by the same hands. There is no analyst between you and the build, which is why the estimate does not move once someone technical looks at it.

FOUNDER & CEO · NAYDIT STUDIO

6-WORKSTREAM COLLEGE PROGRAM · AR IN HEALTHCARE & EDUCATION · AI/ML ANALYTICS

Master's degrees in Computer Systems, Business Administration and Finance. Also lectures at bachelor level on contemporary marketing, AI in digital marketing, cybersecurity, agile and lean, design thinking, and AI/ML in business.

What this means for you

No translation layer.

When you brief us, you are not explaining your operation to someone who will translate it into technology and hope. There is no analyst in between, no "we will check with the developers", no estimate that collapses on contact with the real workflow.

You get a straight answer about what will work, what will not, and what is not worth doing at all — from the person who will also build it.

We do not build before we understand

A fully specified feature list with no interest in the underlying problem is where most projects go wrong.

We do not reach for AI when something simpler works

If a process change or an existing tool solves it, we say so. AI for its own sake is not a service.

We do not oversell what the technology can do

AI is powerful and getting more so. It is also not magic, and pretending otherwise is how trust vanishes.