Discover the right opportunity
Map the work, find repeated friction and choose an AI use case with a clear reason to exist.
Mitesh Dabhi · AI Adoption Specialist
I help teams make AI useful.
I work where people, process and technology meet—turning AI from an interesting idea into a clear, practical way of working.
Curious by naturePractical by design
AI adoption approach
From promising idea to a better way of working.
Practical AI adoption connects people, process and technology. I help teams find useful opportunities, shape human-centred workflows and make change tangible enough to test, learn and adopt.
Prototype the better workflow
Turn the idea into something tangible early, so the team can test the experience and improve it quickly.
Enable confident adoption
Connect the tool to real responsibilities, guidance and feedback so the new way of working can stick.
Where I work
People-first digital innovation
People-first digital innovationAt E2M
I help make adoption real.
My work connects opportunity discovery, rapid prototyping, workflow redesign and enablement—so AI becomes part of how teams deliver, not another tool sitting beside the work.
Find the right use caseMake it tangibleHelp it stick
What I like
Work that turns complexity into clarity.
Making AI practical
Finding the useful idea inside the noise—and shaping it into something a team can actually use.
Simplifying workflows
Turning scattered steps, handoffs and follow-ups into a system that feels calm and obvious.
Prototyping the future
Making an idea tangible early, so people can react to the experience instead of debating the theory.
Thoughtful interfaces
Clean design, clear language and small details that make complex tools feel approachable.
What I solve
The gap between AI potential and everyday work.
Adoption is not just choosing a tool. It is identifying the right problem, designing a better workflow and helping people feel confident using it.
- 01
Teams know AI matters, but not where to begin.
- 02
Good ideas stay abstract for too long.
- 03
Repetitive work hides inside everyday processes.
- 04
Tools get introduced without changing how work happens.
Start with the work.
→Find the friction.
→Make the change visible.
“The best AI experience does not feel like more technology. It feels like less effort.”
A little about me
I’m Mitesh Dabhi. I enjoy exploring new possibilities, designing simple experiences and helping teams move from curiosity to confident AI adoption.
AI adoption FAQ
Clear answers for teams getting started.
What does an AI adoption specialist do?
An AI adoption specialist helps a team move from interest in AI to useful everyday practice. The work includes identifying valuable use cases, redesigning workflows, prototyping solutions and helping people use the change confidently.
Where should a team begin with AI adoption?
Begin with the work rather than the tool. Look for repeated friction, slow handoffs, scattered information or decisions that would benefit from clearer support, then test one focused use case.
Why do AI initiatives struggle to gain adoption?
Many initiatives introduce a tool without changing the surrounding workflow. Adoption improves when the solution solves a visible problem, fits how people work and includes practical enablement and feedback.