Contact
• BUILT FOR FINANCE LEADERS

You approved the AI
budget.
The number still hasn't
moved.

The model works. The demos impressed. Your team is capable. But six months later, forecast accuracy, cash visibility, and operating costs remain unchanged. This is not an AI problem. It is a data and decision architecture problem. We help you fix it in eight weeks.

$180M+

revenue influenced by AI systems running in production,
not waiting in pilot environments.

40+

Production AI systems

3×

Faster decisions

8 Weeks

To first live outcome

4

Regulated industries

"We start with the business decision - the P&L line, the board metric, the number that actually matters - and we work backward into the data and AI architecture that makes it move. Everything else is just demo."

Easter, Co-Founder & CTO · DataTheta

Trusted by

Gather Health
Venture Global
BASF
Save A Lot
Ascendis
Denali
Asian Paints
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Centrient-Logo-Resized.png
Group-SNS-Logo-Resized.png
Champion-Player-Logo-Resized.png
Nada-Dairy-Logo-Resized.png
AICA-Logo-Resized.png
STAHL-Logo-Resized.png
Welbe-Logo-Resized.png
// THE FRUSTRATION

Budget approved. AI launched.
The board number hasn't moved.

Budget approved. AI launched. The board number hasn't moved.

You approved the use case, selected the platform, and funded the team. The demonstration showed impressive accuracy. But the investment has not improved the financial outcome it was meant to change.

Forecasts still miss. Close cycles remain slow. Scenario planning still depends on manually prepared spreadsheets.

The model was never designed around the decision - it was designed around the data.

Most AI implementations optimise for model accuracy. The ones that move business numbers optimise for decision quality - and that requires a different starting point, a different architecture, and a different partner.

A PATTERN WE SEE EVERY QUARTER
1

Pilot approved

Use case signed off, team assembled

2

Demo impressed the board

Accuracy looked good on test data

3

Budget released

Platform, tooling, headcount funded

4

6 months later...

The board number is exactly where it was

THE REAL PROBLEM

The AI was built to impress a technical audience. It was never connected to the specific decision that moves the metric. That's the gap we close.

  • // THREE MOTIONS

Outcome-oriented AI. Revenue framed.

Three capability areas, each anchored to a P&L line. Not service categories – business levers.

01

Real-Time Cash Intelligence

Improve liquidity visibility with continuously updated GL balances, AR signals, payment behaviour, and working-capital data.

02

Board-Ready Forecasting

Connect demand, operational, and financial signals to create revenue and cost forecasts leadership can confidently use.

03

Cost and Margin Intelligence

Identify process leakage, unnecessary spending, duplicate transactions, and cost-to-serve opportunities before they affect margin.

01

Revenue & Demand Intelligence

Real-time demand signals aggregated into a live forecast layer. Pricing, pipeline, and promotion decisions made on data that's current, not consolidated. Clients see 20–34% forecast accuracy improvements within a single quarter.

02

Cost & Efficiency Transformation

Operational cost reduction through AI-driven process intelligence - inventory optimisation, resource scheduling, procurement signals, and exception management. A measurable reduction in cost-to-serve, cost-to-make, or cost-to-acquire.

03

Customer & Commercial AI

AI systems built around the commercial outcome - churn prevention, next-best-action, customer lifetime value, and personalisation at scale. Every system deployed sits in production and reports to a business KPI.

// WHY WE'RE DIFFERENT

Decision engineering, not model engineering.

Most AI firms start with a dataset and build toward a demo. We start with the business decision – the metric your board watches – and work backward into the data architecture that moves it.

The DataTheta difference

We treat the business decision as the specification. The AI is the implementation.

  • Production-first, not pilot-first
  • 8-week production milestone on every engagement
  • Measured against P&L, not model accuracy
A
STEP A

Define the financial outcomea

Select the forecast, cash, cost, or capital decision that matters most.

B
STEP B

Map the decision inputs

Identify the financial and operational signals required to improve that decision.

C
STEP C

Build the context layer

EConnect clean data with business definitions, ownership, timing, and relationships.

D
STEP D

Deploy and measure

Put the system into production and measure it against the original financial outcome.

$180M+

revenue influenced by AI in production

40+

AI systems running in production

8 wks

average time to first live outcome

3×

faster decision cycles across client base

// THE OFFER

The Outcomes Workshop.

A focused half-day session for your CFO, Controller, FP&A Head, or finance transformation leader. No sales presentation. No generic AI demonstration. Just a working session built around your numbers.

OUTPUT 01

AI Readiness Read

We map your existing data architecture against the finance decision you are trying to improve.

OUTPUT 02

P&L Opportunity Map

We identify three to five AI opportunities and rank them by financial impact and implementation feasibility.

OUTPUT 03

8-Week Production Plan

We develop a practical plan for moving the highest-priority opportunity into production.

Book an Outcomes Workshop

Half-day. No commitment beyond the session.

Half-day. No commitment beyond the session.

// ACTIVE CONVERSATIONS

Leaders I've met with recently.

I have candid, no-script conversations with senior leaders every week - about what's shipping, what's stalled, and where data and AI genuinely move the needle.

SY
Satish Yadav CIO, Group SNS
SN
Shah Navas CIO, Regeneron
JS
John Schellhas COO, Stahl
AS
Ajitabh Singh CIO, Neuland Pharmaceuticals
PC
Philippe Caby CIO, Centrient Pharmaceuticals

Real conversations - no scripts, no pitches. Just honest discussions about what enterprise leaders are actually trying to solve.

// A MESSAGE FROM OUR FOUNDER

This is not a technology problem. It's a decision architecture problem.

The executives I meet have done the right things. They've hired, invested, and approved. But the number hasn't moved because the AI was built to impress a technical audience - not to change a business outcome. That's a different brief.


DataTheta was built to close that gap. We start every engagement with a single question: what is the decision that changes this number, and does your data architecture currently support it? The answer is almost always no - and it's almost always fixable in eight weeks.


Booking a workshop does not commit you to anything beyond the session. What you will leave with is a clear, board-ready read on your AI readiness and a production plan for the motion most likely to move your number first.

  • ✓ 20+ years in enterprise data and AI architecture
  • ✓ 40+ production AI systems delivered across 4 regulated industries
  • ✓ Clients include pharma, manufacturing, logistics, and financial services leaders
  • ✓ No offshore handoff - senior engineers only, accountable from day one
Book a Call with the Founder →
// CLIENT TESTIMONIALS

What leaders say about working with DataTheta

Enterprise teams trust DataTheta to turn complex data challenges into production-ready AI, analytics, and decision systems.

"DataTheta helped us implement Databricks and build a scalable data platform that supports our analytics needs."
Head of Data EngineeringData EngineeringSaaS Company
"Our data pipelines became more efficient and reliable after working with DataTheta's experts."
VP TechnologyFinancial Services Organization
Abhishek, Founder & CEO of DataTheta

Abhishek

Founder & CEO - DataTheta

// A MESSAGE FROM OUR FOUNDER

I've been called in to rescue enough migrations to know how they go wrong.

By the time a CIO calls me, it's usually one of two situations. Either they're about to commit a very large budget and something in their gut says the plan is too clean. Or the programme is already eighteen months in, twice over budget, and the board is asking questions.

In both cases the cause is nearly identical. Nobody spent enough time on discovery. The legacy logic was more tangled than anyone admitted. The design was lifted rather than rethought. Governance was left for later. And by the time that surfaced, it was expensive.

That's why DataTheta doesn't start with a platform recommendation. We start by telling you what's actually in your estate - and occasionally, we tell CIOs that they shouldn't migrate at all yet; that a federated layer gets them to AI-readiness faster and cheaper. That's a smaller engagement for us. We say it anyway, because being right matters more than being hired.

Enterprise Data Architecture Warehouse Migration Cloud & On-Prem FinOps Platform-Neutral
Book a Call with the Founder →
// FREE 30-MINUTE SCOPING CALL

Bring the number that won't move.

Bring a KPI that's been underperforming.

Bring the number that won’t move. We’ll tell you in 30 minutes whether there’s a data-driven path to improving it, and what a two-week Assessment would surface. No commitment beyond the call.

Tell us the P&L line, the board metric, or the KPI that’s been resistant. We’ll spend 30 minutes telling you whether there’s a data-driven path to moving it – and what the Outcomes Workshop would surface. No commitment beyond the call.

We respond within 24 hours. No spam, ever.
or
Pick a time directly on our calendar

hi@datatheta.com

DataTheta is an enterprise Data, Analytics, and AI consulting company that helps organizations build AI-ready data foundations through Data Engineering, Data Science, Business Intelligence, Data Warehousing, Generative AI, and On-Demand Experts.

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