

The next wave of AI value won’t come from better algorithms — but from a fundamentally new way of computing decisions.
Unsustainable
trends cannot
be sustained.
Alan Greenspan
President of FED, 1987-2006

The economics of AI
scaling are becoming
increasingly challenging
AI adoption and complexity
are growing exponentially
Infrastructure, governance, and capital intensity undermine ROIC
AI costs grow faster than returns at scale
No transformational advance in “artificial congnition''
is emerging


Marginal performance gains require disproportionate compute and energy

Capturing the full potential value of AI will require a new technological paradigm
From a corporate point of view, decision-oriented AI reached a structural limit

This is not about technology.
This is about augmenting the value of AI Value-Critical Processes.
AI-driven decision-making processes with direct and material impact on corporate financial performance.
Revenue Increase
Cost Reduction
Risk Analysis Improvement
success case
HSBC revealed the first Quantum AI breakthrough in Financial Services in September 2025

Working with a team from IBM, HSBC leveraged an approach that utilized quantum and classical computing resources to deliver up to a 34 percent improvement in predicting how likely a trade would be filled at a quoted price, compared to common classical techniques used in the industry.
HSBC demonstrates word’s first-known quantum-enabled algorithmic trading with IBM

Quando has replicated the technique used by HSBC and is now focused on improving it


Q-Decide, Quando platform’s first product, enables clients to improve classisfication-related AI Value-Critical Processes through Quantum AI.
Q-DECIDE use cases examples:
-
Credit scoring
-
Fraud detection
-
Default prediction
-
Trading signal analysis
-
Criticity level analysis
-
Churn prediction
-
Client purchase propensity
-
Molecule toxiticy
-
Disease detection
-
Equipment failure prediction







