taiken.FINANCE

    You're about to commit millions to AI providers. Do you have the data to defend it?

    Taiken makes it defensible. Real spend data. Forward exposure modeling. A board-ready number.

    $0BEnterprise AI API spend 2024
    0%CFOs now accountable for AI ROI
    0×Reasoning token growth year on year

    Enterprise AI Spend Governance — taiken.finance — 2026

    THE PROBLEM

    Finance is accountable for a budget it has never been able to see.

    AI API spend is now one of the fastest-growing operating expenses in the enterprise. It wasn't in last year's budget. It's not in your ERP. Nobody owns it — and the invoice arrives before the forecast does.

    COMMITMENT RISK

    You're being asked to pre-commit $1M–$20M to an AI provider. You don't have utilisation data, forward exposure modeling, or a defensible rationale. You're signing with a gut feel.

    VISIBILITY

    You don't know what's running, who authorised it, or which model is burning the most budget. AI API spend lands on the invoice — not in the forecast.

    FORECASTING

    Token consumption is non-linear. A single agentic workflow can cost 100x a simple query. Standard FP&A models weren't built for this volatility.

    ROI REPORTING

    Boards want AI ROI metrics. There's no agreed framework, no tooling, and no auditable number. Every update is a narrative, not a report.

    SOLUTION

    One platform built for the finance team — not engineering.

    Taiken pulls real-time spend data directly from every AI provider and cloud billing layer — AWS, Azure, GCP, OpenAI, Anthropic. It maps cost to business unit, team, workflow, and agent — then gives your CFO the forward exposure, commitment guidance, and board-ready ROI reporting that no other tool provides.

    ATTRIBUTION

    Real spend by team, model, and workflow. Not estimates — actual billing data from cloud and provider APIs, normalised across vendors.

    FORECASTING

    30-day rolling exposure built on actual consumption patterns, including nonlinear agentic spend. Not headcount assumptions.

    COMMITMENT GUIDANCE

    Commitment recommendations, anomaly alerts, and a gross-profit-per-token metric your board can actually read.

    WHY NOW

    Three things happened in 90 days. All of them point here.

    MARKET SIGNAL

    Tom Tunguz: gross profit per token correlates 0.70 with AI company valuation. Most CFOs have never calculated it.

    INTERNAL EVIDENCE

    Clay's internal pricing memo revealed the company was losing money on every AI credit sold — a direct consequence of no spend governance layer.

    ANALYST CONSENSUS

    Deloitte published in the Wall Street Journal: enterprises should treat tokens like energy or capital allocation. No product exists to do this yet.

    Finance leaders only.
    Early access is limited.

    We're onboarding a small number of enterprise finance teams in Q2 2026. If you're accountable for AI spend, this is built for you.