# Budget and Grant Analysis with AI Agents > Government · AI Course · GOV-10 > Source: https://ibl.ai/solutions/government/course/budget-grant-analysis-with-ai > Last updated: 2026-08-25 **Apply AI to appropriations analysis, grant management, and spend oversight — with controls that keep an agent's arithmetic out of a published figure.** ## The Short Answer **Budget analysis is document-heavy work attached to numbers that must be exactly right, so generated figures must never reach publication. ibl.ai runs analysis inside agency infrastructure where you own all the code and the data, with computation kept deterministic and every published figure traceable to a calculation.** On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network. [Request Access](https://ibl.ai/contact) · [Explore Government](https://ibl.ai/solutions/government) ## Course facts - **Level:** Intermediate - **Duration:** 5 hours across 8 modules - **Format:** Cohort workshop with analysis labs - **Modules:** 8 - **Catalog code:** GOV-10 - **Frameworks covered:** Uniform Guidance, FAR, Single Audit Act, NIST AI RMF ## What is this course about? Budget work is high-volume document analysis attached to numbers that must be exactly right. This course covers where AI helps across the budget cycle, grant solicitation and application screening, subrecipient monitoring, improper payment detection and its false-positive cost, and the numeric verification gate that prevents a generated figure being published. ## Who is this course for? - Budget analysts and examiners - Grants management officers - Program integrity and improper payment staff - Internal audit and inspector general staff ### What do I need before starting? - Familiarity with the budget or grants cycle in your agency - No technical background required ## What will I be able to do afterwards? - Identify where AI helps in the budget cycle and where it must not - Analyze appropriations and spending across fiscal years - Screen grant applications with documented, defensible criteria - Run subrecipient monitoring at portfolio scale - Enforce a numeric verification gate before any figure is published ## What does each module cover? ### Module 1 — Where does AI help in the budget cycle? Mapping the cycle to find the document-heavy work AI accelerates and the decisions it must not touch. _(40 min)_ **Objectives** - Map the budget cycle by task type - Identify document-heavy versus decision tasks - Set the boundary before deployment **Topics:** Cycle mapping · Task classification · Decision boundaries · Deployment priorities **Activity:** Map your budget cycle and classify every task by AI suitability. ### Module 2 — How do you analyze spending across fiscal years? Multi-year appropriations analysis where account structures and definitions change. _(50 min)_ **Objectives** - Analyze spending across changing account structures - Handle definitional changes between years - Detect and explain anomalies **Topics:** Multi-year analysis · Account structure change · Definitional drift · Anomaly explanation **Activity:** Analyze three years of spending across an account structure change. ### Module 3 — How do you screen grant applications defensibly? Application screening with criteria that can be documented and defended to an unsuccessful applicant. _(50 min)_ **Objectives** - Apply documented screening criteria consistently - Keep the funding decision with human reviewers - Document reasoning for every screening outcome **Topics:** Screening criteria · Consistency · Human decision · Reasoning documentation **Activity:** Screen a set of applications and document the reasoning for each outcome. ### Module 4 — How do you analyze a solicitation for applicants? Helping applicants and program staff extract requirements from a complex funding opportunity. _(45 min)_ **Objectives** - Extract requirements from a solicitation completely - Verify extraction against the source - Generate applicant-facing checklists **Topics:** Requirement extraction · Verification · Checklist generation · Applicant support **Activity:** Extract and verify every requirement from a real solicitation. ### Module 5 — How do you monitor subrecipients at scale? Portfolio-scale monitoring and single audit preparation. _(45 min)_ **Objectives** - Design portfolio-scale monitoring - Prioritize by risk rather than by size - Prepare single audit documentation **Topics:** Portfolio monitoring · Risk-based prioritization · Single audit · Documentation **Activity:** Build a risk-based monitoring plan for a real subrecipient portfolio. ### Module 6 — What does a false positive cost in improper payments? Detection where flagging a legitimate payment has a real cost to a real recipient. _(45 min)_ **Objectives** - Model the cost of false positives to recipients - Tune detection against that cost - Design a review path before any action **Topics:** False positive cost · Threshold tuning · Recipient impact · Review before action **Activity:** Model false positive cost for a detection scenario and tune accordingly. ### Module 7 — How do you gate every published number? The verification gate that makes it structurally impossible to publish a generated figure. _(45 min)_ **Objectives** - Separate generated narrative from computed figures - Implement a verification gate before publication - Trace every published figure to its calculation **Topics:** Narrative versus computation · Verification gate · Traceability · Publication controls **Activity:** Implement the gate and attempt to publish an unverified figure. ### Module 8 — Building the grant analysis agent The lab module: an analysis agent with a non-bypassable numeric verification gate. _(50 min)_ **Objectives** - Build the analysis agent - Integrate the verification gate - Produce an audit trail for every analysis **Topics:** Agent build · Gate integration · Audit trail · Handover **Activity:** Build the agent and verify no figure can reach output without passing the gate. ## What is the capstone project? **Grant analysis agent with a numeric verification gate.** Build a budget or grants analysis workflow with multi-year spending analysis, defensible application screening, verified solicitation extraction, risk-based subrecipient monitoring, false-positive-aware detection, and a non-bypassable numeric verification gate. _Deliverable:_ A working analysis agent with a demonstrated verification gate and full audit trail. ## How are learners assessed? - Verification gate tested — publishing an unverified figure must be impossible - Solicitation extraction verified complete against the source document - Screening reasoning reviewed for defensibility to an unsuccessful applicant ## What ships with the course? - **Facilitator guide.** Session-by-session running order, discussion prompts, and the questions that reliably derail a room. - **Learner workbook.** Exercises, checklists, and the templates each module's activity produces. - **Hands-on lab environment.** A sandboxed ibl.ai deployment so exercises run against real agents, not screenshots. - **Assessment bank.** Scenario questions and rubric criteria mapped to each stated learning outcome. - **Source bibliography.** Every primary regulation and standard cited on this page, linked and dated. ## Which AI agents does this course use? - [Budget Agent](https://ibl.ai/solutions/government/agent/budget-agent) - [Procurement Agent](https://ibl.ai/solutions/government/agent/procurement-agent) - [Compliance Agent](https://ibl.ai/solutions/government/agent/compliance-agent) - [Knowledge Agent](https://ibl.ai/solutions/government/agent/knowledge-agent) ## Where does the course material come from? Every module is grounded in primary sources — the regulation, standard, or research itself, not a summary of it. Each was resolved at authoring time. - [Government Accountability Office](https://www.gao.gov/) — GAO. Audit standards and improper payment methodology. - [Office of Management and Budget](https://www.whitehouse.gov/omb/) — OMB. Uniform Guidance and federal financial management policy. - [Federal Acquisition Regulation](https://www.acquisition.gov/far/) — Acquisition.gov. Acquisition rules intersecting with grants and payments. - [AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework) — NIST. Risk framing for the detection and screening modules. ## Delivery notes Binding guidance for anyone preparing and delivering this course: - Module 7's gate must be structural. Budget offices under deadline pressure will bypass a soft control, and a published generated figure is a public credibility failure that is hard to recover from. - Module 6's false positive framing is the ethical core. A flagged legitimate payment can cause real hardship to a recipient, and detection tuned only for recall causes harm. - Module 3 must keep the funding decision human. Screening for completeness and eligibility is administrative; ranking for award is not, and the line should be explicit. - Use real solicitations from at least two agencies. Structures differ enough that a single-agency example does not transfer. - Coordinate with GOV-4 — solicitation analysis appears in both, and the extraction methodology should be shared rather than taught twice. ## Why run AI training on a platform you own? - **You own the course, not a licence to it.** Course content, learner data, and the platform run inside your perimeter — you own all the code and the data. - **Model-agnostic delivery.** Run the course's AI components on any LLM — Claude, GPT, Llama, Gemini, Command — and switch anytime. - **No per-seat training licences.** Usage-based or self-hosted, so cost tracks actual use rather than headcount. - **Deploy anywhere.** Cloud, private VPC, on-premise, or fully air-gapped — including for cohorts that cannot use public AI tools. ## Frequently asked questions ### What does the Budget and Grant Analysis with AI Agents course cover? Budget work is high-volume document analysis attached to numbers that must be exactly right. This course covers where AI helps across the budget cycle, grant solicitation and application screening, subrecipient monitoring, improper payment detection and its false-positive cost, and the numeric verification gate that prevents a generated figure being published. It runs 5 hours across 8 modules across 8 modules, at intermediate level, and closes with a capstone: Grant analysis agent with a numeric verification gate. ### Who should take Budget and Grant Analysis with AI Agents? It is written for Budget analysts and examiners, Grants management officers, Program integrity and improper payment staff, Internal audit and inspector general staff. Prerequisites: Familiarity with the budget or grants cycle in your agency; No technical background required. ### Can we run this course on our own infrastructure? Yes. ibl.ai is model-agnostic and deploy-anywhere — cloud, private VPC, on-premise, or fully air-gapped — and you own all the code and the data. Cohort data, submissions, and any material learners upload stay inside your perimeter, which matters for government teams that cannot send work to a public AI tool. ### How do we get access to Budget and Grant Analysis with AI Agents? Request access and we will set it up for your cohort — hosted by ibl.ai, or running against your own deployment. Tell us the group size and timing you need, and whether it should run inside your own perimeter. ### How much does AI training for government cost on ibl.ai? There is no per-seat pricing — you pay for usage or self-host and pay only for the infrastructure, so a 5,000-person rollout does not cost 5,000 licences. 1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University. ## More Government courses - [Getting an AI System Authorized: FedRAMP and NIST 800-53](https://ibl.ai/solutions/government/course/authorizing-ai-fedramp-nist-800-53): The authorization path for AI in a federal or state agency — control selection, boundary definition, and why an LLM complicates the system security plan. - [Sovereign and Air-Gapped AI for Public Agencies](https://ibl.ai/solutions/government/course/sovereign-air-gapped-ai-public-agencies): Run capable AI with no internet egress — model selection, air-gapped update paths, and the operational realities of a disconnected deployment. - [Citizen Service Agents: Design, Escalation, and Accessibility](https://ibl.ai/solutions/government/course/citizen-service-agents): Public-facing AI where the user has no alternative provider — plain language, Section 508 conformance, language access, and escalation that never traps a constituent. - [AI in Public Procurement: Writing an RFP That Gets Real Bids](https://ibl.ai/solutions/government/course/ai-in-public-procurement): Specify AI in a solicitation so you get comparable, honest proposals — required disclosures, evaluation criteria, and contract terms that preserve agency control. - [Records, FOIA, and AI: Retention When an Agent Writes](https://ibl.ai/solutions/government/course/records-foia-and-ai): What happens to public records law when an AI drafts the memo — retention, prompt logs as records, and responding to a request that reaches an AI system. - [AI Governance Inside a Public Agency](https://ibl.ai/solutions/government/course/ai-governance-public-agency): Stand up an agency AI governance program — inventory, use-case review board, impact assessment, and public transparency reporting.