AIXXEN is the AI portfolio cockpit for CIOs and CFOs in mid-market and enterprise. It tracks what each AI tool costs and what it actually returns. The workforce capability score goes on the same screen. One data model throughout. The product is built and running on realistic enterprise data today.
In 2026 we are running two conversations. One is a pre-seed round to fund the first design-partner engagements and a commercial hire. The other is acquisition by an EA, FinOps, or SaaS-management incumbent for whom AI cost measurement is a product they would otherwise build from scratch.
CFOs who ignored generic SaaS spend in 2017 were running unaudited 7-figure budgets by 2020. AI is moving faster. No adjacent tool has touched the ROI gap.
Existing tooling treats AI as a procurement category or a compliance question. None of it measures ROI.
The AI itself is no longer the bottleneck. OpenAI, Anthropic, Microsoft, and Google ship cheaper and more capable models every quarter. The same tool in two organizations produces wildly different outcomes. The model is rarely the reason.
The ROI conversation has moved to the workforce side. How well employees actually use the tools, not how often they log in. Until you can measure that, every soft-saving projection is a vendor pitch.
Capability is the missing number. Every adjacent tool in EA, FinOps, and governance assumes the value sits in the AI. AIXXEN measures the workforce too. Both sides. One page.
A defensible CFO conversation. Hard P&L savings sit in a different column from soft potential. Booked savings are attested separately. Soft potential runs through an organization-specific capability factor before it gets near a board pack.
A sharper CIO conversation. Capability scores per department show where training spend will move the number most. Shadow AI share shows what procurement has not seen yet.
The measurement methodology is the defensible part. The capability factor comes from a proprietary instrument that produces tenant-specific numbers, not vendor benchmarks. Details under NDA.
Adjacent products solve adjacent problems. None puts AI vendor spend, business case attribution, capability measurement, and a 5-year plan-of-record on the same surface.
| Capability | AIXXEN | EA / SAM LeanIX, Flexera |
FinOps Apptio, CloudHealth |
AI governance Credo, Holistic, FairNow |
|---|---|---|---|---|
| Vendor-neutral AI spend | ✓ Native | ~ Generic SaaS | — Cloud-only | — Out of scope |
| Hard vs soft benefit accounting | ✓ At data model | — No model | — No model | — Out of scope |
| Capability measurement | ✓ Proprietary | — | — | — |
| 5-year roadmap (plan-of-record) | ✓ Native | ~ Project EA | — Cost only | — Out of scope |
| EU AI Act compliance | — Deliberately out | — | — | ✓ Core |
| Onboarding shape | Lightweight · file-based | Heavy · multi-quarter | Connector-driven | Workflow-driven |
AIXXEN is a working multi-tenant application running on representative seed data. Not a deck with screenshots. Live demo on request.
First hire post-funding is GTM. Engineering is solo and the product ships today.
Solo full-stack builder of AIXXEN. Designed and shipped the current product on a Next.js / TypeScript / PostgreSQL stack. Front-end, back-end, data model, demo data.
More background and references on request. See LinkedIn for the public version.
Pre-seed inquiry or acquisition conversation. Same email, same-day response.