Introduction

The enterprise AI boom has hit a critical inflection point. With global projections pushing AI spend past $3.6 trillion by 2027, executives are confronting a stark reality: billions are flowing into initiatives that may never prove their worth. A new funding round signals a shift toward measurable accountability.

What Happened

Ascerta, the Bellevue-based platform formerly known as Pay-i, announced an $18 million Series A round led by Dell Technologies Capital, bringing total funding to $22.9 million. The round also included participation from Hitachi Ventures, BGV, and Wipro Ventures. Ascerta’s platform was built to solve a growing problem: enterprises can track token usage and spend, but they cannot tie that spend to actual business outcomes. The new capital will expand the platform’s reach and deepen its cost-to-value analytics.

Why This Matters

Gartner forecasts AI spending will double from $1.79 trillion in 2025 to $3.64 trillion by 2027, yet an IBM study of 2,000 CEOs found that only 25% of AI initiatives delivered the expected return over the prior three years. As AI agents and models scale, costs compound while value remains fragmented. Ascerta enters the market at a moment when FinOps teams are managing AI spend at unprecedented rates—98% of surveyed practitioners now oversee AI budgets—and the gap between expenditure and evident ROI has never been wider.

Key Takeaways

  • Ascerta’s platform tracks AI costs down to the individual user, team, and use case, capturing sub-token charges, hidden fees, and negotiated enterprise discounts that most tools overlook.
  • The platform connects spending directly to business outcomes, giving CIOs, CFOs, and AI leaders a single system to decide what to scale, what to fix, and what to cut.
  • Three core products drive value: Atlas provides portfolio-wide ROI and adoption insights; Forge measures engineering productivity through coding agent usage; Convoy helps organizations consolidate their own AI capacity without disrupting production.
  • Customers including Atos, Wipro, and global insurance carriers report average improvements of 47% higher ROI, 24% faster agent launches, and 86% less wasted AI spend.
  • The founding team includes three Microsoft veterans with deep experience in enterprise AI strategy, hyperscale infrastructure, and startup operations, positioning Ascerta at the intersection of technical depth and business accountability.
  • Dell Technologies Capital partner Raman Khanna, a former Stanford CIO and two-time Forbes Midas List honoree, joined the board, signaling strong confidence in Ascerta’s vision of becoming the system of record for AI value creation.

Conclusion

As enterprise AI budgets approach $3.6 trillion, the ability to distinguish high-impact projects from costly experiments is no longer optional. Ascerta’s approach—tying every model call, agent run, and token charge to a measurable business metric—offers a blueprint for responsible AI investment. With fresh funding, established partners, and a growing customer base, the company is positioned to become the definitive reference point for enterprises asking the fundamental question: what is all this actually worth?