saascode
saascode

Gatekeeper

An AI governance workspace that inventories systems, proposes jurisdiction-specific classification candidates, assembles evidence-backed documentation, and flags observed drift for qualified compliance and legal review.

Genesis score0.00/10
Make Gatekeeper real.0/500
500 more votes and Gatekeeper is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
1,561state AI bills tracked across 45 US states as of March 2026 in the supplied research
<30%EU SMEs reported as having taken any compliance steps in the supplied market research
The case

Organizations using AI across products and operations need to know which systems exist, which rules may apply, what evidence supports each control, and what changed after approval. Gatekeeper is a decision-support direction for that evidence chain. It can organize facts and generate drafts, but it cannot determine legal scope, perform a conformity assessment, or certify compliance. The original August 2, 2026 date has passed as of this authoring; current obligations, transitions, guidance, and enforcement status require validation from official sources and qualified counsel.

Who pays — and why

A compliance, risk, privacy, legal-operations, or AI-governance leader responsible for an organization's AI inventory and evidence. The source explicitly lacks a validated buyer and does not establish company size, budget, or procurement authority.

Market signalAdjacent tools ranged from EUR 299/mo to enterprise custom pricing; one cited comparison described enterprise tools near EUR 50,000, which was not independently verified as a standard price.Observed market reference, not fixed product pricing
What it unlocks
A versioned inventory of AI systems, owners, purposes, data, vendors, jurisdictions, and evidence gaps
Classification candidates that cite current official authority and remain pending until an accountable reviewer decides
Documentation drafts whose claims trace to source evidence, approvals, acknowledgements, and effective dates
Drift observations that reopen review without declaring a system noncompliant automatically
How Genesis scored it
0.00across seven criteria
tension 7temporal 8blindspot 5buyer 4leverage 8convergence 10why-not 4
10
Convergence

Twenty-five cross-references and ninety-seven inbound links create the strongest possible recorded convergence.

8
Temporal window

Multiple regulatory developments create urgency, but the original August 2026 framing is now historical and current status requires fresh authority.

4
Why nobody did it

Thirteen referenced data interfaces were unverified and the record does not prove which substrate barrier broke.

Why it scored well

Twenty-five cross-references and ninety-seven inbound links create exceptional recurrence. The regulatory setting supplies temporal pressure, and evidence assembly is highly software-leveraged when kept within decision-support boundaries.

What's holding it back

The stored Genesis score is zero. The source explicitly reports no validated buyer, thirteen unverified data references, no proven structural incumbent barrier, and ULTRA delivery complexity. Competitors already exist, and the original named deadline has passed, so present applicability must be revalidated rather than assumed.

Signals detected3 sources crossed
SignalCredo AI, Holistic AI, Arthur AI, VenVera, and ComplyAct review

SignalUS state legislative tracker review

SignalNebius and Genesis Cloud review

Direction briefgatekeeper.md
gatekeeper.md
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