Grant Allocation & Public Fund Disbursement
How TotalApp scores a grant application on its merits, pays out a project only against verified performance, and keeps every disbursed dollar on a permanent audit trail.
How this group of screens works
The Grant Allocation & Public Fund Disbursement group brings together the three screens that carry a public grant from application to closeout: Grant Application & Scoring Matrix, Milestone-Based Disbursement & Proof-of-Performance Console, and Audit & Compliance Audit Trail.
All three run the same background pattern used elsewhere in Government Operations: a semantic search over the relevant standards — grant guidelines and scoring rubrics, milestone verification benchmarks, or public audit standards and expenditure regulations — followed by an AI layer that synthesizes what it means for the specific application, tranche, or transaction in front of you.
Each screen's title adapts to your organization's country setting, so staff see the vocabulary they actually use. The three screens follow a grant's real lifecycle end to end: an application is scored here, its milestones are paid out there, and every disbursed dollar it produces is later audited on the third screen — each committing action on these screens is final, since a grant award, a fund tranche, or a fraud flag isn't something you walk back with another click.
At a glance
- Grant Application & Scoring Matrix — evaluates incoming grant applications against statutory guidelines and produces an objective committee-ready score
Screen ID:gov-grant-application-scoring-matrix· Doc path:/gov/grant-application-scoring-matrix - Milestone-Based Disbursement & Proof-of-Performance Console — releases fund tranches only once a project's declared milestone is verified against uploaded proof
Screen ID:gov-milestone-disbursement-proof-performance· Doc path:/gov/milestone-disbursement-proof-performance - Audit & Compliance Audit Trail — continuously audits disbursed grant funds for double-funding, ineligible vendors, and prohibited expenditures
Screen ID:gov-grant-audit-compliance-audit-trail· Doc path:/gov/grant-audit-compliance-audit-trail
Screen preview
A quick look at the screen. Use the toggle in the corner to switch between the dark and light themes.
Grant applications, scoring and disbursement
1. Grant Application & Scoring Matrix
Grant Application & Scoring Matrix
Grant and funding applications submitted by local initiatives, non-profits, academics, and public agencies are evaluated semantically. The AI engine matches each application against the governing grant guidelines, sustainability principles, and budget eligibility criteria, producing an automated preliminary score against objective criteria and handing the grant committee an impartial decision-support report.
Why this screen runs a background scoring-rubric check
A committee reviewing dozens of applications by hand tends to score the last few less carefully than the first few. A background check against the governing grant statutes and scoring rubrics scores every application by the same weighted criteria — technical feasibility, financial integrity, social impact — and flags budget inflation before the committee ever sees the file, so every applicant is judged on the same terms.
At a glance
- Screen ID:
gov-grant-application-scoring-matrix - Doc reference path:
/gov/grant-application-scoring-matrix - Path in the app:
/government/grant-scoring
2. Milestone-Based Disbursement & Proof-of-Performance Console
Milestone-Based Disbursement & Proof-of-Performance Console
The fund disbursement process for approved grant projects is semantically audited against each declared milestone's expected output. The AI engine analyzes the proof-of-performance documents, site photos, invoices, and technical progress reports uploaded by the contractor or recipient organization, and runs the approval mechanism to release the earned fund tranche once the committed performance criteria are met.
Why this screen runs a background proof-of-performance check
Releasing a fund tranche on a recipient's word alone, without checking it against the milestone's actual evidentiary requirements, is how public money ends up paid against work that was never done. A background check against the governing milestone benchmarks and financial proof-of-work guidelines confirms which proof assets are present, flags receipt or invoice integrity concerns, and computes a completion score before treasury instructions go out.
At a glance
- Screen ID:
gov-milestone-disbursement-proof-performance - Doc reference path:
/gov/milestone-disbursement-proof-performance - Path in the app:
/government/disbursement
3. Audit & Compliance Audit Trail
Grant Audit & Regulatory Compliance Monitoring Screen
The expenditure line items of every distributed public fund and grant are semantically tracked backward against the governing state audit standards (Sayıştay/GAO). The AI engine detects improper expenditure risk, double-funding, fictitious invoices, and budget transfers that violate the governing regulations, and reports likely audit findings before they become public loss.
Why this screen runs a background double-funding check
The same expense can be submitted against two different grants by mistake, or by design, and neither disbursement screen catches it on its own since each only ever sees its own transaction. A background check that cross-references the governing audit precedents and this screen's own transaction log against every other entry on file surfaces a duplicate-funding pattern, an ineligible vendor, or a prohibited expense category while there's still time to place a hold on the project.
At a glance
- Screen ID:
gov-grant-audit-compliance-audit-trail - Doc reference path:
/gov/grant-audit-compliance-audit-trail - Path in the app:
/government/audit-trail
Screen reference
| Screen | Screen ID | Path in the app | Background check |
|---|---|---|---|
| Grant Application & Scoring Matrix | gov-grant-application-scoring-matrix | /government/grant-scoring | Yes — public grant guidelines, eligible expenditure rules, scoring rubrics, matching fund requirements |
| Milestone-Based Disbursement & Proof-of-Performance Console | gov-milestone-disbursement-proof-performance | /government/disbursement | Yes — milestone completion benchmarks, financial proof-of-work guidelines, invoice verification rules |
| Audit & Compliance Audit Trail | gov-grant-audit-compliance-audit-trail | /government/audit-trail | Yes — public financial court rulings, state audit standards (Sayıştay/GAO), double-funding detection parameters |
AI Assistant — Grant Application & Scoring Matrix
The Grant Application & Scoring Matrix screen ships with an embedded AI Assistant — the same right-edge panel used across TotalApp. Open it from the vertical AI Assistant tab on the right of the screen; it understands what is currently on your screen and answers in Markdown, matching the language you write in (Turkish or English).
Because a scoring inconsistency can steer public funds toward the wrong applicant, the assistant is tuned for scoring-integrity review:
- Score/priority inconsistency — flag applications whose score looks inconsistent with their priority status.
- Low matching funds — surface high-scoring applications with low matching funds committed.
- Ineligible applications — point out applications marked ineligible.
- Review-state overview — summarize applications by review state and category.
Tick one or more rows in the table to scope the conversation, then use Analyze selected or Summarize selected. Any answer can be saved via Save as Report (it lands in My Reports), and Add Knowledge lets you attach reference documents to ground the reply.
Engine-aware
The assistant respects your Settings → Agentic writer engine: Ollama / local-LLM / in-browser models run entirely on your machine, while API routes through the server — the panel never leaks your data to a server the selected engine can’t reach.
AI Assistant — Milestone-Based Disbursement & Proof-of-Performance Console
The Milestone-Based Disbursement & Proof-of-Performance Console screen ships with an embedded AI Assistant — the same right-edge panel used across TotalApp. Open it from the vertical AI Assistant tab on the right of the screen; it understands what is currently on your screen and answers in Markdown, matching the language you write in (Turkish or English).
Because releasing funds without proof of performance risks a compliance finding later, the assistant is tuned for disbursement-readiness review:
- Missing proof-of-performance — flag milestones that are missing their proof-of-performance assets.
- Low completion scores — surface milestones with a low completion score.
- Ready for disbursement — point out milestones that are ready for disbursement approval.
- Tranche overview — summarize tranche amounts by release authorization state.
Tick one or more rows in the table to scope the conversation, then use Analyze selected or Summarize selected. Any answer can be saved via Save as Report (it lands in My Reports), and Add Knowledge lets you attach reference documents to ground the reply.
Engine-aware
The assistant respects your Settings → Agentic writer engine: Ollama / local-LLM / in-browser models run entirely on your machine, while API routes through the server — the panel never leaks your data to a server the selected engine can’t reach.
AI Assistant — Audit & Compliance Audit Trail
The Audit & Compliance Audit Trail screen ships with an embedded AI Assistant — the same right-edge panel used across TotalApp. Open it from the vertical AI Assistant tab on the right of the screen; it understands what is currently on your screen and answers in Markdown, matching the language you write in (Turkish or English).
Because undetected fraud or double funding puts public money at direct risk, the assistant is tuned for fraud and compliance review:
- High fraud risk — flag audits showing high potential fraud risk.
- Potential double funding — surface audits that flag potential double funding.
- Escalated or under investigation — point out audits already escalated or under investigation.
- Disbursement overview — summarize disbursed amounts by compliance state and line item.
Tick one or more rows in the table to scope the conversation, then use Analyze selected or Summarize selected. Any answer can be saved via Save as Report (it lands in My Reports), and Add Knowledge lets you attach reference documents to ground the reply.
Engine-aware
The assistant respects your Settings → Agentic writer engine: Ollama / local-LLM / in-browser models run entirely on your machine, while API routes through the server — the panel never leaks your data to a server the selected engine can’t reach.