saascode
customer support & success·run 186 · Jun 2026

AIDisclose

A disclosure-evidence layer for nonprofit support chatbots that inventories deployment surfaces, presents approved notices, records bounded delivery observations, and assembles risk and impact workpapers for qualified review.

Genesis score6.24/10
Make AIDisclose real.0/500
500 more votes and AIDisclose 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
0Verified referenced APIs
2Confirmed regulatory milestones
The case

Nonprofits use chatbots for donors, volunteers, grant funders and beneficiaries, sometimes in human-services contexts where wrong assumptions carry serious consequences. AIDisclose inventories chatbot surfaces and use cases, lets qualified owners approve disclosure policy, records whether the component rendered, and assembles evidence and workpaper drafts with visible gaps. The supplied research confirms August 2, 2026 as the EU AI Act Article 50 milestone and June 30, 2026 as the Colorado AI Act effective date, while finding no nonprofit-specific managed product. Because the current date is after both milestones and the input does not supply current primary texts, applicability, transition, Colorado high-risk classification, FRIA duties and required wording must be revalidated. Not every helpdesk chatbot is high-risk or requires an FRIA. One referenced API is unverified. A receipt shows what the instrumented surface observed; it does not prove user understanding, legal sufficiency or coverage of uninstrumented channels. Inventory, applicability decision, approved notice, display event, acknowledgement, interaction, impact assessment, policy approval, remediation and qualified conclusion remain separate. Success is stronger evidence and visible gaps—not one-toggle compliance, auto-generated legal policy or immunity from penalties.

Who pays — and why

A nonprofit operations, privacy, compliance or technology leader responsible for support chatbots used by donors, volunteers, funders or beneficiaries.

Market signalValidate by governed chatbot surface, use case, jurisdiction, policy version, evidence period and qualified reviewerCompliance guidance and managed governance products are observed market references, not fixed product pricing
What it unlocks
A deployment inventory covering chatbot, version, route, channel, audience, purpose, geography, data, decisions and accountable owner.
A qualified applicability registry separating disclosure duties, high-risk classification, impact assessment, transition and current authority.
An evidence lifecycle joining approved policy, component version, display observation, gaps, workpaper draft, review and remediation.
How Genesis scored it
6.24across seven criteria
tension 7temporal 8blindspot 5buyer 5leverage 7convergence 5why-not 6
8
Temporal window

Both confirmed milestones have now arrived, creating immediate operational need.

7
Productive tension

Nonprofits need low-friction governance while human-services contexts require careful classification and evidence.

5
Convergence

Three cross-references and three inbound links support moderate convergence.

Why it scored well

Two confirmed milestones, a specific nonprofit context and no direct managed product support a timely evidence workflow.

What's holding it back

Current primary sources need revalidation, applicability varies, no API is verified and a component cannot certify compliance.

Signals detected3 sources crossed
SignalRegulatory research

SignalRegulatory research

SignalCompetitor research

Direction briefaidisclose-nonprofit-ai-disclosure-evidence.md
aidisclose-nonprofit-ai-disclosure-evidence.md
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