Consulting

I take on a small number of clients at a time. I go deep into the operation. I build the thing. And I make sure your team can own it when I leave.

Every operations-heavy business I have worked with had more data than they were using. Not because they were careless with it — because nobody had ever built the system that connected it to the decisions that actually mattered. The data sat in dashboards that got glanced at. Reports that took a week to refresh. Tools that were bought with good intentions and quietly abandoned.

The work I do is building the layer that was always missing. The intelligence layer — the system that takes what your operation already knows and turns it into something your leadership team can act on. Not reports. Not more dashboards. A system that thinks alongside the business.

How it works

  • The conversation: One call. You describe the operation and the problem. I tell you what I see and what I'd build. No pitch. No deck.

  • The Scope: One objective. A defined output. A timeline that works around your business, not despite it.

  • The Build: My team and AI agents executes. I stay in it. You get something real at the end — not a presentation about something real.

The first conversation is straightforward. You walk me through the operation — what you have, what's broken, what you've already tried. I listen more than I talk. By the end of it, I'll tell you honestly what I think is possible and whether I'm the right person to do it.

If we move forward, the engagement is scoped tightly around one clear objective. My team and my AI agents handles the execution — mostly based in India, handpicked, fast. I stay close to the work throughout. You are not handed off to a project manager after the kickoff. When we're done, you have a system your team understands and can run.

Who this is for

  • Operations-heavy companies — retail, logistics, financial services, staffing, manufacturing — where the margin for bad decisions is real and the data to make better ones already exists somewhere in the business.

    Teams that have tried tools and realised tools alone don't solve it. Leaders who know something is off in the way their data is working but haven't had someone sit down with them and actually diagnose it. Founders who are growing fast enough that gut instinct is starting to feel like a liability.

    If you have been carrying a data or AI problem that keeps getting pushed down the list — not because it is unimportant, but because the right person to hand it to has never shown up — that is exactly the conversation this is built for.

Ways to work together

Two kinds of engagements. Both start the same way.

  1. Focused Build

One problem. One system. Built and delivered. This is for teams with a specific intelligence gap they need closed — a decision layer that doesn't exist yet, a data pipeline that was never built properly, an AI tool the operation actually needs. We scope it, build it, hand it over.

Here's what you get:

  • On-Demand Guidance: Asynchronous access, email, slack, ad-hoc meetings for strategic advice and overcoming design challenges.

  • Growth and Efficiency: Enhance your team's skills and streamline product design processes.

  • Hiring: Help you understand the skills needed for upcoming product design roles.

  1. Embedded Partnership

For businesses that need the work to continue — new systems, new verticals, new layers as the operation grows. I work closely with your team over a sustained period, building the intelligence infrastructure that compounds over time.

Every engagement starts with a scoped conversation. 50% to begin, remainder within 30 days. No open-ended retainers you didn't agree to.

Start with a conversation

The first call is just a conversation. A good one, usually.

You describe what is broken or what is missing. I tell you what I think — whether this is the right fit, what I would build, and roughly what it takes. If it is not the right fit, I will say that too. Nobody's time gets wasted.

Thirty minutes. No pitch. Just a look at what's possible.