Starting And

Scaling AI

Is Truly

Overwhelming.

I'm Rahul Thota, CEO of Akaike.

In my workshops with Enterprise Pharma, CPG and other industry leaders, I help them make use of our proven framework to unblock progress on AI initiatives.

At Akaike, we've built AI systems that cut pharma model-building from 12 weeks to 2 days. We've helped commercial brands unlock $30M in sales. We know how to make AI work for enterprises.

ENTERPRISE LEADERS
Who is this workshop for?
Held exclusively for single-company cohorts, ensuring we can safely discuss organizational dynamics, potential use cases, and ongoing initiatives.
C-Suite & Senior Leaders
Decision-makers who hold budgets.
SMBs & Mid-market
From small teams to those with 200-5000 employees.
Pharma & CPG
Focus industries.
US East Coast + Virtual
I live in New York. So prefer East Coast for in-person.


Rahul Thota - CEO, Akaike

I'll take you through Akaike's proven framework to decide which AI initiatives to prioritize, park & stop. 


We start with evaluating if the bottleneck is organizational or economic.

An example of an orgnaizational root cause is when the adoption decision is handed to the managers whose teams are being disrupted.

An economic reason would be when there's simply a cheaper alternative to get the same job done.

In my workshop, we will stress-test both new proposals and active initiatives.

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PROBLEM

Why enterprise AI initiatives
stall or fail to launch?

Often, it's for lack of an objective evaluation frameworks. Mid-market leadership teams repeatedly encounter six structural traps across strategy, data, and people.

The Point Solution Trap
Adopting disjointed SaaS tools with "built-in AI" features to address isolated pain points results in vendor sprawl, integration friction, and a fragmented toolset with no unified enterprise strategy.
The Data Foundation Trap
Attempting to deploy advanced workflows on top of fragmented, unstructured, or dirty legacy data systems leads to unreliable outputs, loss of organizational trust, and stalled implementations.
Incentive Mismatch
Tasking managers with automating the very workflows their teams execute manually creates a structural incentive to stall or resist adoption to protect headcount, scope, or operational control.
The Soft ROI Trap
Funding pilots based on abstract goals like "improved experience" or "general efficiency" without defining hard, measurable targets tied directly to margin expansion, cost reduction, or revenue growth.
The Governance Gridlock
Allowing pilots to become perpetually stuck in legal, compliance, or security reviews because leadership lacks a pragmatic risk-evaluation framework for IP, data privacy, and model reliability.
The Orphaned Tool
Scaling a solution built passionately by a technical champion without securing a dedicated P&L or business unit owner to take long-term operational responsibility for its adoption.

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WORKSHOP OUTCOME

My workshop will help you land all your AI initiatives in three buckets.

And you will have the exact strategy on how proceed from there.

PRIORITIZE
Commercially viable concepts ready for production. Allocate budget, assign technical leads, and establish hard delivery timelines.Turns strategic intent into measurable execution.
PARK
Solid ideas stalled by missing technical or operational foundations. Name what needs to change and freeze budget until prerequisites are met.Protects capital until readiness is reached.
STOP
Projects that lack measurable P&L impact, clean data foundations, or executive ownership. Terminate funding and document the post-mortem.Stops the financial bleed on dead-end pilots.

FAQs