Book a 30-minute scoping call. We'll discuss your company, goals, participants, and systems, then agree the agenda, dates, delivery format, and pricing with you.
AI Transformation Course · The 2–3 day bootcamp
From "should we use AI here?" to a plan you can execute.
A private, 2–3 day program for your company. Delivered onsite at your company or remotely, on dates agreed with your team. The first half is about choosing the right problems; the second is about what it actually takes to implement them inside a real company.
Dedicated to your companyOnsite or remoteDates agreed with your team
What's included
- A dedicated bootcamp for your company, delivered onsite or remotely
- Curriculum tailored to your team, systems, and business priorities
- Live instruction, private working sessions, and a closing implementation workshop
- Practical work centered on your own company and use cases
- Dates, participant mix, and agenda agreed directly with your team
How it works
Before the bootcamp
Scope it together
Agree your goals, participants, dates, and onsite or remote delivery on a scoping call.
Part one
Identify & evaluate opportunities
Which problems should use AI, which should use conventional software, and what makes a use case realistic.
Working session
Your use cases, with us
Work privately with your team on candidate use cases from your organization.
Part two
How ideas get implemented
Data, systems, workflows, human review — what has to exist for AI to work reliably inside your company.
Closing workshop
An implementation plan
Compare approaches, prioritize opportunities, and leave with concrete next steps for your team.
Plan your company bootcamp
Pick a time for a 30-minute call. We'll discuss your company's goals and participants, tailor the agenda, and agree dates and pricing. Mihir can travel to your office for onsite delivery, or work with your team remotely.
What you'll learn
Two halves: pick the right problems, then understand what it takes to solve them.
Part one
Identifying and evaluating good AI transformation opportunities
You'll learn how to distinguish:
- Good AI use cases from bad ones
- Problems that should use AI from problems that should use conventional software
- Easy versus difficult AI workflows
- Where human review matters
- What makes a use case realistic or unrealistic
Then you use your first private office hour to work directly with Overstand on potential use cases from your own organization.
Part two
How those ideas actually get implemented
Including:
- What data is required
- How relevant data needs to be brought together
- How that data stays current
- How AI interacts with operational systems
- How workflows read information, make decisions, involve humans, take actions, and write information back
- What needs to exist for an AI system to work reliably inside a real company
Then a second private office hour to work through the implementation of your chosen use case. The final session is a workshop: real use cases, compared approaches, common patterns and mistakes, with your team.
Private office hours
Work on your own use cases with us
Your team gets private working sessions on your own use cases, integrated into an agenda agreed with your company. We use this time to evaluate opportunities and work through implementation decisions.
These sessions are designed around the problems inside your own organization. Bring an idea you are already considering, or come in with no idea at all.
The goal is to make the course applicable to your actual business rather than keeping it theoretical.
Questions we work through together
- Is this actually a good AI use case?
- What would need to be true for this to work?
- What data would we need?
- What systems are involved?
- What should AI handle?
- What should remain deterministic?
- Where should humans stay involved?
- Can our existing team realistically execute this?
Who this is for
People making AI transformation happen inside organizations.
Technical experience is useful but not required. This is not primarily a programming course — it's about choosing the right problems and knowing what it takes to solve them.
Who teaches it
Learn from people who have done this in the real world
Mihir Patil
Co-Founder & CEO, Overstand Labs · Ex-Palantir · CS Faculty, NYU
Mihir spent seven years at Palantir, joining as a forward-deployed engineer and going on to run the technical side of the Privacy & Civil Liberties team. Along the way he led AI and digital transformation programs inside large financial, pharmaceutical, and government organizations — the work of turning a messy operational reality into systems people actually run on.
He co-founded Overstand Labs (Y Combinator W25) to do that work alongside operating teams, and has taught computer science as adjunct faculty at NYU since 2022. He studied EECS at UC Berkeley, with earlier stints at Google Research and NASA.
LinkedIn ↗FAQ
Bootcamp questions
Ready?
Bring the bootcamp to your company.
Book a short call to discuss your goals, choose onsite or remote delivery, and plan a bootcamp around your team.