AI adoption is a people problem, not a technology problem.

Work in Beta helps organizations move from AI curiosity to AI capability - through hands-on training, workflow redesign, and deep adoption engagements.

Not advisory. Forward-deployed.

See how we work

Most organizations are failing at AI adoption. And it has nothing to do with the technology.

Your teams have access to the tools. They've sat through the demos. Some have even built a few automations. But nothing has fundamentally changed about how work gets done.

The bottleneck isn't the technology - it's the translation layer between AI capability and daily work. It's knowing which workflows to redesign, which habits to break, and how to build genuine fluency across an organization, not just awareness.

That's where we work.

Three ways we work with organizations.

01

Workshops & Training

Build AI muscle across your organization.

Hands-on workshops that go beyond tool demos. Your teams learn to think alongside AI - building real fluency that changes how work gets done. Leaders from Microsoft, Visa, and Deloitte have attended our sessions.

02

Workflow Redesign

We sit with your teams and rebuild how work actually gets done.

We embed with your teams, map their actual workflows, and redesign them with AI woven in. Not a deck of recommendations - real, working processes your teams use from day one. Hands-on, not advisory.

03

Enterprise AI Adoption

AI adoption that goes beyond the leadership layer.

End-to-end adoption for organizations that are serious about it. We start with diagnostics, augment your leadership with AI-native thinking, then redesign department by department - until AI fluency is the norm, not the exception.

Not an organization? We work with individuals too.

If you're a professional looking to build real AI fluency in your own work - not just tool awareness, but genuine workflow transformation - we offer focused 1:1 coaching engagements.

A framework for measuring and driving AI adoption.

Most organizations can't answer a basic question: how AI-mature are we, really? We built the WIB Framework to answer that - and to make the answer actionable.

1

Tool-Enabled

Teams have access to AI tools but use them sporadically and superficially.

2

Assisted

AI is used regularly for specific tasks, but workflows haven't changed.

3

Integrated

Workflows are redesigned around AI. It's embedded in how work gets done.

4

AI-First

AI shapes strategy, operations, and decision-making at every level.

Every level transition requires a different intervention. Moving from Tool-Enabled to Assisted isn't a training problem. Moving from Integrated to AI-First isn't a technology problem. The framework tells you what's actually required to get to the next level.

Our community includes leaders from

Microsoft Visa Deloitte IBM BP Tesco Flipkart Comcast IHG Hotels Nasscom Aditya Birla Rippling

What people say about working with us.

"After one session, I completely changed how I use AI at work. I went from copying and pasting prompts to actually thinking about what I need. The results are night and day."

Workshop Participant

"PD and Sonali don't just teach you tools - they teach you a way of thinking that makes every AI interaction better. This is the training I wish my company had given us."

Workshop Participant

Built by practitioners, not observers.

Priyadeep Sinha

Priyadeep Sinha (PD)

Most AI strategies fail because they start with technology and end with a slide deck. PD has spent a decade building product organizations and now brings that builder's lens to AI adoption - helping leaders stop theorizing and start reshaping how their teams actually work. LinkedIn Top Voice.

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Sonali Gupta

Sonali Gupta

Eighteen months ago, Sonali was writing basic ChatGPT prompts. Today she builds multi-agent AI systems, designs curriculum, and co-leads enterprise AI adoption engagements. Her journey mirrors the exact transformation WIB delivers - from AI curiosity to AI capability.

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