FactAI.es Information

Most AI programs stall before they ever reach the P&L. 95% of GenAI pilots show no measurable financial impact, and only 6% of firms turn AI into real EBIT. The problem is rarely the models. It's the absence of evidence, prioritization, and governance between the pilot and the business case. FactAI runs your entire AI portfolio through TEARI, a five-stage gate from idea to impact: Theoretical, Empirical, Applicable, Replicable, Impactful. Every use case has to earn its next stage with evidence, not intention. At each gate you see the same three things decision-makers actually need: value (risk-adjusted ROI), risk (EU AI Act classification, built in), and carbon (CO₂ net of AI compute). The result is a portfolio you can defend. You fund the use cases that will pay back, stop the ones that won't before they burn budget, and walk into any audit, board meeting, or regulator conversation with proof instead of optimism. With EU AI Act transparency duties now in force and fines reaching 7% of turnover, governed is no longer optional. TEARI adapts the standards-of-evidence hierarchy used at NASA, the OECD, the World Bank, and the Max-Planck-Institut für Plasmaphysik. Book a demo: alberto@factai.es Short launch post (to drive engagement) 95% of GenAI pilots never reach the P&L. 6% of companies capture almost all the value. The gap isn't talent or tooling. It's the lack of evidence between a promising pilot and a fundable business case. FactAI governs your AI portfolio end to end with TEARI, a stage-gate where every use case proves value, risk, and carbon before it scales. Fund what pays back. Stop what won't. Prove it to your board and your regulator. Curious what your portfolio looks like under real scrutiny? Let's talk. 👇