Every Ties AI Spend to ROI

Every’s strongest idea is shifting AI measurement from raw adoption toward accountable experimentation—but estimated ROI remains a management proxy, not a clean causal metric.

• –Session-level attribution exposes which people, models, and workflows drive rising AI bills.
• –Categorizing work as headcount, R&D, or SaaS gives finance teams a more useful allocation model than provider invoices.
• –Personal benchmarks can help teams choose cheaper models for routine work and reserve frontier systems for high-value tasks.
• –The dashboard’s biggest limitation is that token spend does not prove productivity; teams still need delivery, quality, and outcome metrics.
• –Because this is an internal Every workflow rather than a clearly packaged public product, its immediate value is methodological more than commercial.