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AI Adoption GuideGovernmentFund

Compliance pre-check generator

LLM auto-generates applicant-specific compliance checklists from fund conditions, reducing pre-submission errors before intake.

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By Don, DoneThat’s AI coach · updated

Quality means a cited item, not a new requirement

A compliance pre-check generator is only as good as its citations. Each checklist item must map to a clause in this fund's Notice of Funding Opportunity (NOFO) or the fund's published conditions. If the posting is silent, the row stays empty. The model does not create a required form, a match rate, a registration step, or a restriction that belongs to a different Assistance Listing. Quality here is a cited list the applicant can complete before they file. It is not a finding that the applicant is eligible, that the packet is complete, or that the proposal should score well.

The applicant still submits. The pre-check runs before intake, while the packet is still in the applicant's workspace. Filing still goes through the channel you already use: a Grants.gov-class portal, or an agency intake stack that may run on Salesforce Government Cloud, Microsoft, or Accela. Portal validations, officer threshold review, and panel scoring stay separate.

Two errors dominate this stage. Applicants skip a condition buried in a later section. Staff bounce packets for forms the NOFO never named. A generator that cites clauses can cut the first error. A generator that invents obligations produces the second.

Pull the live NOFO and the matching conditions file

Start with the posting the applicant selected, not a typical construction NOFO and not last cycle's file for a sibling program. Load the NOFO (PDF or HTML), every amendment that applies to this opportunity number, and the fund-specific conditions that attach to this listing. If your agency keeps those files in a system of record, pull the version that matches the opportunity the applicant named.

Before you generate, confirm three facts. The opportunity number and amendment date match the posting in use. The conditions file is for this fund, not a similarly named program. Required versus optional language is intact: must, shall, should, and may are not interchangeable.

If an amendment replaced a page, load the amendment. Generating against a superseded PDF produces citations that look precise and are wrong.

Constrain the model next: emit checklist items only from the loaded text. Each item should carry the obligation in plain language, a citation that uses the NOFO's own numbering (section, subsection, paragraph, or page), and a blank for the applicant to attach evidence. Allow "not applicable" only when the clause itself allows that mark.

Do not tell the model to add standard federal forms. A form appears only if this posting names it. SF-424 belongs on the list when this NOFO requires SF-424. If the posting never mentions a lobbying disclosure, that row does not exist.

Generate rows with citations, then stop

After the source is loaded, generation should be mechanical. Produce the cited items. Leave every other row off. Hand the list to the applicant, or to program staff who will send it to the applicant. The applicant completes the blanks: attaches the letter, dates the certification, records the acknowledgment. Empty stays empty. Then they submit through the portal you already operate.

Do not keep prompting the model to make sure nothing is missing. That instruction is how invented forms appear. Completeness is a different review. An application completeness checker asks whether files the NOFO actually required are present. The pre-check only asks which conditions this applicant must address, and which clause says so.

Scoring stays later. A proposal scoring assistant belongs after intake, against published criteria, not against a generated to-do list. If a cited item depends on a document the applicant attached, inspecting that file for internal consistency is later work as well. A document forensics engine can test whether a site-control letter holds together. The pre-check cites. It does not authenticate the attachment.

One rehabilitation posting, worked through

Suppose a state housing finance agency posts a scattered-site rehabilitation NOFO. Section D.2 requires a site-control letter dated within 90 days of the due date. Section E.4 requires a Davis-Bacon acknowledgment if the award will fund construction. Environmental review is described as a post-award process. The NOFO does not ask for a Phase I environmental site assessment at submission.

Load that posting and generate. The list should include a site-control item that cites D.2 and a Davis-Bacon item that cites E.4. It should not include a Phase I upload, and it should not invent Form ESA-1 because other housing programs use one. Leaving those rows off is the correct quality outcome.

The applicant attaches the letter, dates it against D.2, and records the E.4 acknowledgment. They do not hunt for an environmental form the posting never required. They file. Intake proceeds. This is a walkthrough of the rule, not a measured result, and it is not evidence that error rates fell.

Keep the list away from eligibility and other programs

Three failure modes appear as soon as the model is under-constrained.

Inventing a form. Models have seen many NOFOs. They will add SF-LLL, a site-and-neighborhood standards worksheet, or an agency budget workbook because those documents are common. If this posting does not name the form, the item is not a requirement. Applicants will search for a document that does not exist. Staff will bounce packets for a gap the NOFO never created. Hold the quality rule: no cite, no item.

Treating the checklist as eligibility. A fully checked list is not a threshold determination. Eligibility is applicant type, geography, and eligible activity, read from the published threshold section. A complete cited checklist can sit on an ineligible application. An eligible applicant can still miss a condition. If staff tell an applicant they passed the pre-check, no one has ruled on eligibility. If staff reject a packet because a generated row is blank when the NOFO was silent, you have invented a requirement. Put this in the SOP: pre-check output is applicant-facing quality guidance. Do not bind an eligible flag in Salesforce Government Cloud, Microsoft, Accela, or a Grants.gov-class workflow to checklist completion.

Adding a condition from another program. A broadband posting and a housing posting may both mention environmental review, with different timing. Last cycle's workforce NOFO may have required a union letter; this cycle's posting may not. The model will blend sources unless you forbid it. Ground generation in this opportunity's files only. If an officer recognizes a clause from a different listing, delete the row.

A related error is converting may into must. Optional cost-share language becomes a required match line. Preserve the modal verb from the source. A cite that does not support the strength of the claim is still invention.

After the applicant files, stop regenerating. Do not rebuild the checklist against a later amendment and then score the packet against new rows. Deficiency letters should cite the NOFO the applicant was told to use. Payment review is not a replay of the pre-check. A drawdown anomaly monitor watches requests against the award. Pre-award checklist items become payment conditions only if the award documents say so.

If records policy requires it, keep the generated list with the opportunity number, amendment date, and generation instructions so you can reconstruct why a row existed. The bar does not move after you deploy the workflow. A checklist item that cites the fund condition clause is in. A blank that stays blank because the NOFO is silent is in. A required form nobody named is out. The applicant still owns the submission.

Is this worth automating for you?

Whether this pays back depends on how much time it takes your team today. Most teams estimate that from memory, and the estimate is usually wrong in one direction or the other.

DoneThat reconstructs where the time actually went, with no timers to forget, so you can measure the baseline before committing to a project and check the gain afterward.

Measure the baseline first