AI decision infrastructure

Find what blocks AI.
Fix what matters.
Prove what changed.

SCOYZ traces why a product is not sufficiently understood, retrieved, considered or recommended by AI systems — then turns the earliest demonstrated blocker into a controlled action and follows it through evidence and retest.

Start a real product case See the decision path
1
Find the earliest demonstrated blockerPreserve UNKNOWN. Do not turn missing evidence into failure.
2
Resolve it into one executable pathSCOYZ executes, requests approval, or identifies the required real-world action.
3
Verify implementation with evidenceSubmitted is not Live. Live is not Verified.
4
Retest and measure the observed changeNo unsupported causal claims. Evidence stays inside its proven boundary.
One commercial reasoning chain

From product meaning to recommendation readiness.

SCOYZ follows the decision path an AI system must traverse before it can responsibly recommend a product. It is not a search-ranking score or a checklist of content tactics.

01

AI Understanding

Can the system correctly understand the product, audience, problem, differentiation and capabilities?

02

Structured Data Readiness

Are critical product facts exposed in a form machines can reliably consume?

03

Entity & Evidence

Can the product and company be resolved and supported by reliable evidence?

04

Buyer-Intent Retrieval

Can the product be retrieved for the buyer questions it should legitimately answer?

05

Recommendation Action

Can the product enter consideration and recommendation under the right evidence and constraints?

New product case

Start with a real buyer decision.

Give SCOYZ enough commercial context to diagnose the product without inventing intent.

Persistent Production Case
Structured buyer context — not a search keyword.
One capability per line.
Describe real situations in which a buyer would choose this product.
Creating a case runs the real SCOYZ diagnostic path and may use provider resources. SCOYZ will not automatically execute customer-facing changes at intake.
Evidence before claims

A workspace for decisions, not vanity metrics.

No single “AI visibility score.”

SCOYZ keeps stages separate. Understanding, retrieval, consideration and recommendation are different states with different evidence requirements.

No advice-only dead end.

Each executable diagnosis resolves toward SCOYZ_CAN_EXECUTE, CUSTOMER_APPROVAL_REQUIRED, or EXTERNAL_REAL_WORLD_ACTION_REQUIRED — then continues to evidence and retest.