Every AI initiative deserves a business case.Most never get one.
VERDIX builds a progressive financial model for every AI initiative — from a qualitative score at submission to a full NPV analysis with algorithmic scenario probing by the time it reaches council review.
A financial model that grows with the governance process.
You don't have full financial certainty at the idea stage. VERDIX doesn't pretend you do. The model becomes more rigorous as the initiative progresses and more information becomes available.
Qualitative scoring
At submission, VERDIX captures the strategic rationale, expected benefit category, and rough cost envelope. No spreadsheet required. The AI advisor Felix guides the submitter through a structured intake that generates the initial score.
Quantitative modelling
As the initiative moves into evaluation, the model adds hard numbers: estimated implementation cost, projected time to value, expected annual benefit, and risk-adjusted return. The finance function reviews and validates these inputs.
Full NPV analysis
By council review, the initiative has a complete NPV analysis with algorithmic scenario probing across seven risk dimensions. The CFO sees a probability-weighted outcome range, not a single optimistic projection.
Decision support under uncertainty.
Algorithmic scenario probing doesn't produce a single financial estimate. It runs the model across a structured range of assumptions — adoption rates, cost trajectories, risk events — and returns a probability-weighted distribution of outcomes.
The council doesn't see a point estimate dressed up with false precision. They see an honest range: base case, optimistic scenario, stress case. They vote knowing what the downside looks like.
Range of outcomes
Scenario probing replaces the false precision of a single NPV figure with an honest probability distribution across the realistic outcome space.
Seven risk dimensions
Technical risk, adoption risk, regulatory risk, data quality risk, third-party dependency risk, security risk, and operational risk — each modelled independently and combined.
Stress-tested before build
The financial model is interrogated before a single line of code is written. The council approves the investment range, not a post-rationalised number.
"A CFO who approves an AI initiative without algorithmic scenario probing is approving an optimistic story, not a financial case."
The portfolio view the CFO doesn't have anywhere else.
Most AI governance tools focus on individual initiatives. VERDIX also maintains a portfolio-level financial view: total committed investment, expected aggregate return, and how individual initiative risks correlate across the organisation's AI portfolio.
Portfolio-level concentration risks — where multiple high-risk initiatives share the same critical dependency — are invisible when reviewing initiatives in isolation. VERDIX surfaces them.
Actual outcomes measured against approved business cases.
VERDIX doesn't just approve business cases — it tracks them. Periodic true-up processes compare actual financial performance against the business case that was approved. When initiatives underperform, the governance record shows what was promised and what was delivered.
This creates accountability. When the next AI initiative appears in front of the council, the team presenting it knows their previous forecasts are on record. That changes how business cases are constructed.
Common questions.
Give every AI initiative the financial rigour it deserves.
Request a demo and see how VERDIX builds, stress-tests, and tracks business cases for every AI initiative in your portfolio.