Starting And

Scaling AI

Is Truly

Overwhelming.

I'm Rahul Thota, CEO of Akaike.

Over the last decade, Akaike has 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.

In my workshop, I work with Pharma, CPG and other industry leaders make use of our proven framework to make tangible progress on Enterprise AI initiatives.

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.
Insights take 1–2 weeks to generate, delaying critical decisions.
Slow Insights
Analysts are consumed by repetitive queries instead of strategic work.
Analyst Overload
Lagging Signals
Field teams operate on outdated insights, missing real-time opportunities.
Complex Data Access
Cross-source analysis requires engineering effort across systems.

I help leadership teams decide which AI projects to launch, scale, or stop.


We do this by decoding if the underlying issue is organisational or economic.

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

An economic reason on the other hand could be when there's a simpler, cheaper alternative to get the core job done.

In this workshop, I sit down with you and your leadership team members to stress-test both new proposals and active initiatives. By the end, you'll have a realistic, objective roadmap of what to start, what to scale, and what to kill.

Book a Meeting
PROBLEM

Why internal AI initiatives
stall or fail to launch?

Without objective evaluation frameworks, mid-market leadership teams repeatedly encounter the same 6 structural traps across Strategy, Data, and People.

The Point Solution Trap
Detect performance deviations automatically and understand the why behind CPA spikes, ROAS drops, & conversion with clear explanations.
The Data Foundation Trap
Use natural language to ask questions directly and get instant, contextual answers without waiting for data team queues or writing SQL.
Incentive Mismatch
BYOB understands marketing context including audience segments, & seasonal trends, delivering insights trained on business rules.
The Soft ROI Trap
Protect customer PII, ad spend data, and campaign insights with enterprise-grade security, role-based access control, and deployment compliance.
The Governance Gridlock
Avoid manual flagging and analyst delays as BYOB monitors performance automatically and alerts teams instantly for real-time action.
The Orphaned Tool
Avoid manual flagging and analyst delays as BYOB monitors performance automatically and alerts teams instantly for real-time action.

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Features

Every initiative lands in one of three buckets.

By the end of this workshop, every AI initiative in your pipeline will be objectively evaluated and assigned a definitive path forward.

KILL
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.
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.
PROCEED
Commercially viable concepts ready for production. Allocate budget, assign technical leads, and establish hard delivery timelines.Turns strategic intent into measurable execution.