AI Advisory
Leadership Advisory and Team Training for AI Ecosystems
Advisory for executives making the AI decisions and private training for the engineering teams that have to actually build them.
The gap
You already have the tools. Copilot, API credits, maybe a whole platform.
Here's what usually happens next: not much.
Your team uses ChatGPT to write emails. Nobody owns the roadmap. Every pilot started with good intentions and nobody's checked on it since.
That gap doesn't close by buying another tool. It closes with someone who's shipped this before, sitting in the room with you.
How we can work together
Two ways to work with us
AI Strategy
For the person who owns the AI P&L.
You are a Head of AI, a CTO, or a VP. You have pilots running and a Board of Directors that is losing patience. You need a plan you can defend, not a slide deck full of buzzwords.
The S.C.A.L.E. Protocol
Scope (The Audit)
We audit your current AI pilots. We kill the "science projects" burning API costs and identify the one workflow that actually drives P&L.
Core Architecture
We map the 2026 stack tailored to your compliance: Local vs. Cloud, SLMs vs. LLMs, GraphRAG vs. Vector.
Alignment
We align the technical roadmap with your business constraints: budget, latency, data privacy.
Leverage
We make the "Build vs. Buy" decisions. What do we use off-the-shelf, and where do we build a moat?
Execution Plan
You receive a 90-day deployment blueprint that your team can execute without second-guessing.
AI Training for Teams
For the team that bought the tools but hasn't shipped the product.
Hiring Senior AI talent costs $250k+. Upskilling your existing developers is cheaper and faster. But a 2-day workshop and a certificate won't get them to production.
The S.H.I.P. Method
Sync
We align the training to the internal tool or product your team is currently struggling to build.
Harness
We equip your traditional software engineers with the modern AI stack: LangGraph, Dockerized sandboxing, VAD.
Implement
We run 4-8 weeks of guided, hands-on sprints. Zero theory. They write the code for your company.
Production
The training ends only when the code merges to production. Your team doesn't just get a certificate; your company gets a deployed asset.
One team we did this for
HectorBeverages had a sales team doing manual outreach with no automation. We trained their team while building the system they needed.
They walked away with a working AI sales system and a team that understands exactly how it works, because they built it.
Who's behind this
Himanshu Ramchandani
Founder, MasterDexter
Himanshu Ramchandani is an AI engineer, Microsoft MVP, and the person 50,000-plus AI builders follow for engineering content that skips the theory and shows the actual build.
He has trained over 10,000 engineers, built and shipped production AI systems through his consulting practice, Dextar, and holds a graduate research background in knowledge tracing, the same discipline behind adaptive learning systems, which is part of why Build30's daily structure is built the way it is, calibrated pacing, not just a curriculum dump.
He created the PILOT framework, the five-step build loop behind every day of this cohort, and has kept a public build practice for years, teaching in public rather than only teaching from a stage.
Not sure which one you need?
That's what the call is for.
Both options are 30 minutes with us directly.
No pitch deck. No pressure. Just a technical diagnosis of your current AI state.