Find where AI belongs in your company, and where it doesn't
I map your workflows and apply AI only where it moves the numbers
The default
“Where can we plug in AI?”
Applying AI on a broken process will give you a faster process that remains broken
What works
“What should this workflow be, with AI in it?”
Rethink the operation first, then apply AI where it actually compounds
This is why most companies aren't seeing ROI on their AI spend
Find your highest-leverage workflow
Book a diagnostic conversation
A 30-minute call to see if there's a fit. No deck, no pitch.
How it works
01
Diagnose
- Map your real workflows end to end
- Find where AI creates leverage, and where it's just a distraction
- Leave with a prioritised shortlist of what's worth building, not a strategy deck
02
Build
- Build the highest-leverage workflows end to end, only where AI is useful
- In your real tools and data, not a demo
03
Embed the capability
- Your team learns alongside the build, so it lives in-house
- I stay involved for as many builds as make sense
- No black box you can't run yourself
Selected case studies
A D2C water-purifier brand: where AI belonged, and where it didn't
I mapped the existing workflows end to end, identified the redundant ones, and made two calls:
- The biggest win needed no AI: a recurring-revenue opportunity from existing customers, fixed with a heuristic-based system
- AI earned its place in enhancing service quality and preventing churn
Delivering on both cost and revenue, engagement ongoing
CiteGap: I found a problem brands couldn't see, and shipped the product for it
Buyers now ask ChatGPT, Claude, and Google's AI for recommendations, and most brands have no idea whether they show up, who's cited instead, or what to fix. I built CiteGap to close that gap.
- Runs 1,000+ live queries across four AI engines, mapped to six real buyer personas
- Shows exactly which competitors get cited instead of you, and the signals you're missing
- Turns it into a prioritized 30-60-90 day plan: what to fix, which page, in what order
Live at citegap.com · 10+ audits across D2C, healthcare, education & SaaS, built solo with AI
AdvocateDesk: a workflow rebuilt end to end
A legal office was losing ~30 hours a week reading messy title-deed PDFs and drafting opinions by hand. I built a system that:
- Reads the raw title-deed documents
- Lays out the ownership chain
- Drafts the legal opinion in the required format
- Flags what needs human judgment instead of guessing
Saved 30+ hours a week, with more use cases in the pipeline
Led by Siddharth M
- Ex-Amazon Principal PM-Tech · IIM Ahmedabad
- 13+ years across business, strategy, operations and product
- Hands-on AI builder with multiple shipped products
- Ran an AI workshop for 50+ senior PMs at Myntra (rated 4.9/5)
More about me at msiddharth.com
Common questions
We've tried AI already and it didn't stick. Why would this be different?
Most AI that doesn't stick was pointed at the wrong workflow, or handed over as a tool nobody owned. I start with the workflow that actually limits the business, build it in your real tools and data, and train your team alongside so it lives in-house. The goal isn't a pilot. It's a workflow that keeps running after I leave.
Do you just advise, or do you actually build?
I build. Diagnosis is where we start, but the value is a working workflow shipped end to end, in your real tools and data. You get something running, not a strategy deck.
How long does it take?
It depends on the workflow, but engagements run in weeks, not quarters. The diagnostic is a single conversation. The first build is scoped to ship something useful fast, then we extend from there.
What does it cost?
It depends on the scope of what's worth building, which is exactly what the diagnostic conversation is for. That call is where we find out if there's a fit and what the work actually is.
What about our data and privacy?
Everything runs in your environment: your tools, your accounts. Nothing leaves your systems without your say-so, and I build so your team can see and run exactly what's happening. No black box.
Is this only for technical teams?
No. The point is that the capability lives with your team, technical or not. I build it to be run by the people who own the workflow, and they learn it alongside the build.
What happens after, are we stuck with you?
No, by design. Your team learns the build as it happens, so you can run and extend it without me. I stay involved for as many builds as make sense, not because you're locked in.
Find your highest-leverage AI opportunities
Book a diagnostic conversationA 30-minute call to see if there's a fit. No deck, no pitch.