Enterprise AI spending hit $37B in 2025 — and 98% of finance teams can't attribute a single dollar to a business unit. ToknLens changes that.
No infrastructure changes. No SDK. Connects to your existing AI billing in days.
You're approving AI budgets based on gut feel. Overruns show up 30 days later — on the invoice. By then, it's too late to act.
Finance sees the invoice total from OpenAI — but can't attribute cost to Sales, Legal, HR, or Engineering. You learn about overruns 30 days after the fact.
OpenAI, Anthropic, Azure, Gemini — each with different billing formats and field names. Consolidated reporting means manual spreadsheet work every month.
Employees use unsanctioned AI tools outside IT governance. The average enterprise has 3.4× more AI tools in use than IT knows about — creating compliance and security risks.
No automated budget caps, approval workflows, or anomaly alerts. CFOs only discover an overnight AI spend spike when the monthly invoice arrives.
Only 51% of teams feel confident measuring AI ROI. The other 49% are approving budget increases based on guesswork — with no link between spend and business outcomes.
The EU AI Act requires audit trails of AI model usage by model, date, and user. Most enterprises can't produce these. Penalties reach €30M or 6% of global turnover.
Anthropic shipped per-member spend limits in Claude Cowork after enterprise finance teams demanded budget controls — within just 12 weeks of launch. Vendors are proving our market exists. They're not solving it. Anthropic will never build OpenAI attribution. That cross-vendor gap is ToknLens's market.
ToknLens is a billing data intelligence layer — not an API proxy, not middleware. Connect your existing billing exports. Go live in days, not quarters.
OpenAI · Anthropic · Azure · Google Cloud
Usage APIs · CSV exports · Cost Management
Normalise · Attribute · Enrich · Govern
Dashboards · Alerts · Reports · Actions
Real-time AI cost by business unit, team, project, model, and vendor. Trend lines, anomaly detection, and burn-rate alerts.
Automated cost allocation and showback/chargeback reporting per department. Finance-ready PDF exports built for month-end close.
Link AI spend to business outcomes — productivity gains, cycle time reduction, and revenue influenced. Stop approving budgets on gut feel.
Budget caps, approval workflows, and spending limits with automated enforcement — before costs balloon, not after the invoice.
Discover unsanctioned AI usage across the organisation. Map your full AI footprint — sanctioned or not — and close the governance gap.
Audit trails by model and user. EU AI Act alignment. Data residency enforcement. SOC 2-ready logging. Be compliant before it's required.
We're onboarding a select group of design partners — enterprises who gain early access to ToknLens at a significantly reduced rate, in exchange for real-world feedback that helps us build the right product.
We are onboarding 5 design partner organisations in our first cohort. Once filled, the programme closes.
Enterprise AI spending is growing 3.2× year-over-year. AI agents will grow 80× by end of 2026. And the governance infrastructure to manage all of it doesn't exist yet — ToknLens is building it.
Whether you're an investor exploring the opportunity or an enterprise ready to get real visibility into your AI spend — we'd love to hear from you.
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