0%
of GenAI pilots show no measurable P&L impact.
MIT NANDA, 2025FactAI runs your AI portfolio through TEARI, a stage-gate from idea to impact, so every use case is prioritised, proven with evidence, EU AI Act compliant, and accountable for its € and its CO₂.
Pilots multiply, budgets scatter, and few use cases ever prove their business case or clear compliance. FactAI replaces gut-feel with a governed pipeline where evidence, not intention, decides what scales.
of GenAI pilots show no measurable P&L impact.
MIT NANDA, 2025of firms are AI high performers, with 5% or more of EBIT coming from AI.
McKinsey State of AI, 2026EU AI Act transparency duties in force: governance is no longer optional.
EU AI Act maximum fines up to 7% of turnoverFive tollgates, each with a clear owner and a pass/stop decision. A use case cannot claim impact it hasn't proven. Evidence over intention, at every step.
TEARI (Theoretical, Empirical, Applicable, Replicable, Impactful) adapts the standards-of-evidence hierarchy for evidence-based decision-making, applied at NASA, the OECD, the World Bank and the Max-Planck-Institut für Plasmaphysik. Ruggeri et al. →
A portfolio cockpit for Business, Data Science and Legal, aligned by the same evidence-driven method.
ROI, payback, Time-to-Value and a risk-adjusted Value-at-Risk across every use case, recomputed as evidence arrives.
A guided intake classifies each use case (Prohibited, High, Limited or Minimal) with the obligations and mitigations attached.
Backtests and live A/Bs are scored to an evidence level, and the probability of success is derived from that evidence, not a guess.
Allocate a fixed budget by return-on-risk, spread risk across the portfolio, and see today vs the optimised proposal.
Every use case reports net abatement, after its own AI compute, measured against your science-based (SBTi 1.5°C) target.
A grounded assistant interviews, scores and advances use cases through the funnel, reading your live portfolio and files.
Transparent formulas, an audit trail on every change, and a method that treats a confident number without evidence as a red flag.
TEARI tollgates from idea to realised impact.
EU AI Act risk tiers classified at intake.
lenses on every case: value, risk & carbon.
industry starter portfolios, ready to demo.
Interview-led business case scores Impact × Feasibility against a calibrated benchmark, with the EU AI Act risk assessed up front.
Audit the backtest, then run a controlled live experiment. Value is risk-adjusted, causally confirmed, and reported against baseline.
Move to production with control charts on value, drift and KPIs, so impact is measured, not assumed, and CO₂ is on the ledger.
Start from a curated portfolio of the flagship AI use cases for your industry: from Customer Lifetime Value to Predictive Maintenance to Grid Load Forecasting.
FactAI is built by a small team that has lived the gap between AI ambition and governed, provable impact, and got tired of watching value leak.
“The question is no longer whether we can build it; it's whether we can prove it's worth building, and govern it once we do.”
A 30-minute walkthrough on your own use cases: value, risk, EU AI Act and carbon, end to end.
Book a demo →