For grant program leads

Apply your scoring rubric the same way on every application

Your reviewers read "strong" and "excellent" differently. The gap widens across a cycle. Define the criteria once. The repeatable checks run the same on the first application and the hundredth.

Your rubric becomes the instruction set. Repeatable checks run criterion by criterion for every applicant. Every subjective call routes to a person with the criterion and the quoted text attached.

Your rubric is the instruction set

You already maintain a scoring rubric. Cemented AI reads each application against that rubric, criterion by criterion, in the same order every time. The rubric is applied, not reinvented by whoever picks up the file. No reviewer rewrites the bar mid-cycle.

The same read on application one and application one hundred

Eligibility, completeness, required attachments, and budget arithmetic are repeatable checks. They run identically for every applicant. There is no drift between reviewers and no drift between weeks. A late application in cycle three is measured against the same criteria as the first one you read.

Every judgment call goes to a person, with the evidence attached

When a criterion needs judgment, such as whether a project narrative clears your 'excellent' bar, the agent does not decide. It routes the call to a reviewer. The criterion and the quoted application text sit side by side. The person scores. The rubric stays consistent because the same criterion and the same evidence reach every decision.

Findings you can quote back to a board

Every finding traces to the passage it came from. Each quote is checked against the application. When a panel asks why one proposal scored higher on a criterion, you point to the text, not to a reviewer's memory. The score is defensible to your board and to declined applicants.

Gaps are flagged, not guessed

If an application does not address a criterion, that gap is flagged. The agent does not invent a score to fill the box. You see exactly where an applicant was silent, which keeps the rubric honest across the whole pool.

Common questions

How is this different from training reviewers to calibrate?: Calibration sessions help, but interpretation still drifts across a long cycle and between people. Here the repeatable checks run the same way every time, so the mechanical parts never drift. For the genuinely subjective criteria, a person still scores. Each one gets the same criterion and the quoted text, so they decide on the same footing.
Does the agent assign the final score?: No subjective score is decided by the agent alone. Repeatable checks like eligibility and budget arithmetic run automatically. Every judgment call routes to a person with the criterion and the quoted application text attached. The person scores. The agent keeps the inputs consistent.
What happens when an application does not address a criterion?: The gap is flagged, not guessed. The agent will not fabricate a rating to complete the scorecard. You see exactly where the applicant was silent on a criterion.
Can I trust the quotes in each finding?: Every finding quotes the application, and each quote is checked against the source. You can trace any finding back to the passage it came from. That is what makes a score defensible to a board or to a declined applicant.
Does it connect to your application portal?: Connectors to systems such as Submittable, Fluxx, or Foundant are handled on Enterprise. Ask about connectors for Enterprise. The team can walk through what your portal needs.
How do you get started and what does it cost?: Start by sharing your existing scoring rubric. See the pricing page for plans. Ask about Enterprise if you need portal connectors or account-scoped setup. Your uploaded content is scoped to your account and is not used to train frontier models.