The score for a technology organization.

One number a board can trust, spanning AI Readiness and Engineering Excellence, where every point traces to live evidence from the company's own systems. If we cannot measure it, we say so.

No estimated numbers, ever.

Persoona.ai

Entire organization · live

76B · STRONG

AI ROI71traces to $46,800 monthly AI spend on record

Agent Health761,204 agent runs, 74% of resolved work survived

Engineering Excellence

Security Readiness47capped at 50 while 1 critical is open, nothing hides it

Delivery Health76DORA from 312 real production deployments

Cloud Health869 of 10 fault tolerance checks passing, provider report

Architecture MaturityNOT MEASUREDno source connected, we refuse to guess

every number carries a receipt · unproven numbers cannot render · illustrative estate

Why now

Record AI budgets are being approved on invented numbers.

Boards are signing off on the largest technology budgets in history using dashboards that fabricate a figure whenever data is missing. Every acquirer, LP, and enterprise buyer is converging on the same question: what did the AI dollar return, and can you prove it.

There is no FICO for that answer. We are building it.

What exists today

Connect GitHub and a cloud. Within the hour, the whole estate is scored.

Pillar 01

AI Readiness

Whether the code and stack are ready for AI, what the AI spend actually returns, and whether AI agents ship work that survives or quietly gets reverted.

Pillar 02

Engineering Excellence

Delivery health on DORA metrics, lifecycle and end of life risk, cloud health pulled from the providers' own reports, and a modernization roadmap.

Pillar 03

Security and Risk

One deduplicated vulnerability posture across code and cloud. An open critical caps the score, and nothing hides it.

Pillar 04

Compliance

Automated evidence collection with a policy library, so SOC 2 and diligence prep stop being fire drills.

Why incumbents cannot follow

Their platforms always show a number. Ours refuses to.

Every incumbent dashboard is built to render something in every box, so a missing signal silently becomes a made up figure. Our engine is architected the other way: an unproven number cannot render. That trust layer is the product, and it is what diligence, audits, and boards actually pay for.

A typical dashboard · data missing

Rendered anyway. No source behind it. This is the number a board just approved a budget on.

ShipReady · same missing data

NOT MEASURED

Refused. The score stays blank until a real source is connected. Blank is information. Fabrication is not.

The category

Gartner named the pieces. Nobody owns the intersection.

AI Governance— AI that governs AI, what Gartner calls AI trust, risk & security management — on one side. Software engineering investment intelligence on the other. The score is how you own the intersection, because a score becomes a standard, and a standard becomes a moat.

AI GovernanceAI trust, risk & security managementSoftware engineering investment intelligence

ShipReady Score

Proof it works

We are customer zero of the category we are creating.

This company is one founder directing AI agents, governed by its own product. Every scoring rule that ships is the same discipline we run on ourselves.

Traction

Design partners onboarding now, public beta imminent.

Rigor

6,500+

automated tests verifying the scoring engine and its honesty rules.

Team

founder directing AI agents, governed by its own product.

I would rather show you than tell you.

The score is not a promise. It is a receipt.

Book a live walkthrough

You will watch it score a live estate.