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ROI Mirage Report

Where projected AI ROI breaks — and what actually happens after deployment

AI ROI looks clear in approval decks.

Then adoption stalls, costs rise, and value becomes harder to defend.

This report breaks down where that shift happens — and what it means for your decisions.

May 2025 12 min read Exclusive Report

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What this report exposes

Where AI ROI assumptions break after deployment
Why usage does not translate into decision impact
Hidden cost layers that distort value perception
The gap between pilot success and scaled outcomes
Timeline reality vs expected ROI windows

What you'll walk away with

Clear signals to evaluate real ROI vs perceived ROI
A sharper lens for continuing vs cutting AI investments
Understanding of cost, adoption, and value drift
Decision clarity under financial and operational pressure

Where this applies

AI ROI assumptions break at the moment usage stalls, cost layers compound, and pilot-to-scale gaps widen. This applies to any enterprise that committed to an AI platform in the last 24 months and is now defending that spend against operational reality — particularly in Data & Analytics, Cloud Infrastructure, and Workforce Enablement functions where deployment friction is highest.

Who this is for

CFOs navigating renewal decisions without clear value signals. CAIOs defending AI investment roadmaps under board scrutiny. VPs of Data Engineering watching adoption stall post-deployment. Any executive who approved an AI platform and is now measuring whether the ROI case still holds — or needs to be rebuilt from operational data.

Snapshot

Enterprise:

Synapxe – Singapore national HealthTech agency (public healthcare sector)

Vendor / Platform:

Databricks – Data Intelligence Platform (powering HEALIX)

Adoption Type:

Gov Deployment / Regulated Industry Adoption

Scale:

Sector-wide (entire public healthcare system); exact seats/licenses not disclosed

Products/Services Adopted:

Databricks Data Intelligence Platform for HEALIX

Regions:

Singapore (APAC)

Event Date:

June 16, 2025

Sources:

Databricks press release

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Get the full report

If ROI feels unclear, it usually is.

Download the full report to see where assumptions break — and how to decide what comes next.

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