saascode
project & workflow operations·run 262 · Jun 2026

Discla30

A contractor workflow that maps reviewed AI-system records to contract line items, tracks clause-specific due dates and assembles approval-ready disclosure packages.

Genesis score6.58/10
Make Discla30 real.0/500
500 more votes and Discla30 is authorized for build.
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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 case

The supplied research confirms that a proposed federal acquisition clause published in March 2026 described disclosure of AI systems used in contract performance within thirty days after award. It also says the comment period was extended and the clause was expected in a later refresh. That is a real workflow signal, not evidence that every award currently carries the clause.

Discla30 would begin with the executed contract and a current primary-source review. An authorized operator records clause presence, award and modification dates, contract line items, task orders, AI-system identities, versions, providers, uses and evidence. The product maps proposed disclosures to the contract scope, routes them through program, security and contracts review, and assembles a signed package for the authorized submission channel.

The central risk is false compliance. An inventory entry is an operator assertion until reviewed. A model-to-line-item match is a proposal, not contract interpretation. Package generation is not filing, delivery or acceptance. A deadline exists only after qualified review confirms the controlling clause, triggering event and computation. Append-only events and hashes can support bounded integrity, not immutability, truth or government acceptance.

The buyer hypothesis is a federal contractor's contracts, program or compliance function using AI in contract performance. The input does not establish the full role, company size, budget or current alternative. A narrow pilot should prove inventory completeness, mapping agreement and package usability before building broad federal coverage.

Who pays — and why

A federal contractor's contracts, program-compliance or legal-operations team responsible for identifying contract-specific AI use and coordinating reviewed disclosures when an executed award actually requires them.

What it unlocks
A contract-scoped AI register preserving executed clause text, award and modification evidence, contract line items, task orders, system identity, version, provider, use and accountable owner
A review workflow separating operator assertions, proposed scope mappings, contracts findings, security review, approval, due-date calculation and package readiness
A filing ledger that distinguishes authorized submission, transport acknowledgment, government receipt, acceptance, rejection, correction and later contract change
How Genesis scored it
6.58across seven criteria
tension 7temporal 8blindspot 5buyer 6leverage 6convergence 8why-not 7
8
Temporal window

A confirmed 2026 proposal creates a near-term validation window, while current final-rule and contract status remain external gates.

8
Convergence

Multiple cross-references and a direct connection support a convergent federal AI-inventory and contract-disclosure workflow.

5
Incumbent blindspot

No dedicated workflow product was found, but governance, procurement and compliance vendors could add the feature.

Why it scored well

The input confirms a specific proposed clause and workflow, identifies a manual submission alternative and finds adjacent AI inventory tooling without the contract-line-item approval and clock layer.

What's holding it back

The clause was proposed in the supplied evidence, current adoption must be reverified, buyer details are incomplete, pure self-serve economics are unproven and no structural incumbent copying cost is established.

Signals detected4 sources crossed
SignalSupplied primary-document and legal-alert research

SignalSupplied legal-alert research

SignalSupplied capability research

SignalSupplied competitor research

Direction briefdiscla30.md
discla30.md
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