Education & EdTech
Research Grant & Financial Management
6 autonomous agents manage grants from discovery to post-award compliance. 35% increase in funded proposals.
Agentic AI Workflow
6 autonomous agents maximize research funding and financial compliance
The Challenge
Faculty spent more time on grant paperwork than on the research the grants were meant to fund
A research university with $180M in annual research expenditures had a 22% proposal success rate, below the 30% benchmark for peer institutions. Faculty reported spending 40% of their research time on grant writing, compliance, and reporting rather than actual research.
Grant opportunities were discovered haphazardly, with no systematic matching of faculty expertise to funding announcements. Budget creation for proposals took 2-3 weeks due to complex institutional cost rates and sponsor requirements. Post-award compliance monitoring relied on monthly manual reviews, with 8% of grants receiving audit findings for spending irregularities.
The university needed to streamline the entire grant lifecycle while improving success rates and compliance.
The Solution
Agents that find grants, draft proposals, build budgets, submit, monitor, and report
Vijan.AI deployed 6 agents across the research office. The Grant Finder matches faculty research profiles to funding opportunities from NIH, NSF, DoD, and private foundations. The Proposal Drafter generates narrative sections using LLM trained on successful proposals. The Budget Builder creates compliant cost breakdowns with institutional rates and sponsor limitations. The Submission agent files applications through Grants.gov, Research.gov, and sponsor portals. The Compliance Monitor tracks post-award spending against budget categories in real-time. The Report Generator produces sponsor-required progress and financial reports.
Autonomous Agents
How each agent reasons, decides, and acts
Step 1 · Discovery
Grant Tracking Agent
Intelligent Grant Opportunity Discovery
Continuously scans federal, foundation, and industry funding databases to identify grant opportunities matching faculty research profiles, autonomously alerting researchers and routing to proposal management in phase 1.
Input
Faculty research interests, publication records, and grant history
Output
Curated grant opportunity alerts with match scores and deadlines
- Queries grant database APIs from NSF, NIH, private foundations for new RFPs matching institutional priorities
- Calls match engine to score opportunities against faculty expertise using publication keywords and past awards
- Autonomous decision: send high-match alerts, recommend collaborative teams, or flag limited submission competitions
- Forwards interested faculty and opportunity details to Scholarship Management for proposal development in pre-award phase
Step 2 · Proposals
Scholarship Management Agent
Collaborative Proposal Development
Facilitates proposal writing through collaborative workspaces, autonomously managing compliance checks, institutional approvals, and submission deadlines while coordinating with budget planning in phase 1.
Input
Grant opportunities with interested faculty and proposal templates
Output
Submitted grant proposals with institutional sign-off and budget validation
- Invokes proposal system to provide templates, track sections, and manage multi-author collaboration with version control
- Calls collaboration tool to route drafts through compliance review, IRB approval, and administrative sign-offs
- Autonomous decision: flag missing sections, extend internal deadlines, or auto-submit with institutional certifications
- Passes proposal budgets to Budget Allocation agent for validation against cost policies before final submission
Step 3 · Budgeting
Budget Allocation Agent
Grant Budget Optimization
Develops compliant grant budgets using institutional rates and funder guidelines, autonomously optimizing indirect cost recovery and personnel allocations before transitioning awarded grants to post-award phase.
Input
Proposal narratives with project scope and funder budget requirements
Output
Detailed, compliant budgets with justifications and institutional approval
- Uses budget template library pre-populated with current F&A rates, fringe benefits, and tuition remission costs
- Executes cost estimator to model personnel effort, equipment, travel, and subaward scenarios for maximum allowability
- Autonomous decision: recommend cost-sharing commitments, adjust indirect rates, or flag unallowable expenses
- Transitions awarded grants to Grant Accountant in post-award phase for financial management and expenditure tracking
Step 4 · Billing
Tuition Billing Agent
Grant Expenditure Management
Manages post-award financial transactions including payroll charges, procurement, and subaward payments, autonomously monitoring burn rates and budget compliance while reporting to compliance monitoring in phase 2.
Input
Awarded grant budgets with approved spending categories and timelines
Output
Real-time expenditure tracking with budget variance alerts
- Calls finance ERP to post payroll distributions, vendor invoices, and travel reimbursements to grant accounts
- Queries grant ledger to track cumulative spending against approved budgets with real-time burn rate calculations
- Autonomous decision: approve expenditures, flag over-budget categories, or initiate no-cost extension requests
- Sends transaction logs and compliance flags to Financial Aid Compliance agent for policy adherence verification
Step 5 · Compliance
Financial Aid Compliance Agent
Grant Compliance Monitoring
Ensures all grant expenditures comply with federal regulations, funder terms, and institutional policies, autonomously detecting violations and triggering corrective actions before financial reporting in phase 2.
Input
Grant expenditure transactions with funder award terms and regulatory requirements
Output
Compliance certifications with issue remediation documentation
- Invokes policy engine to validate expenditures against OMB Uniform Guidance, cost accounting standards, and sponsor terms
- Maintains audit trail documenting approvals, cost transfers, and effort certifications for regulatory examinations
- Autonomous decision: approve compliant transactions, disallow unallowable costs, or escalate to sponsored programs office
- Forwards clean compliance records to Revenue Reporting agent for sponsor invoicing and financial statement preparation
Step 6 · Reporting
Revenue Reporting Agent
Grant Financial Reporting
Generates sponsor financial reports and university revenue recognition statements, autonomously reconciling expenditures with funding drawdowns and feeding performance data back to improve future proposal budgeting.
Input
Compliant expenditure data with sponsor reporting templates
Output
Submitted financial reports with revenue recognition and closeout documentation
- Calls BI platform to aggregate expenditures, match to funding sources, and calculate indirect cost recoveries
- Executes report generator to produce sponsor-specific formats for FFR, RPPRs, and invoices with required certifications
- Autonomous decision: submit periodic reports, request additional funding tranches, or initiate grant closeout procedures
- Feeds award performance metrics back to Grant Tracking agent to refine opportunity matching and budget templates
Results
Measurable impact within 90 days of deployment
More Funded Proposals
Proposal success rate improved from 22% to 29.7%. Total research funding increased by $28M annually.
Less Admin Time
Faculty time spent on grant administration reduced 70%. Proposal preparation time cut from 6 weeks to 2 weeks.
Audit Findings
Post-award audit findings eliminated through continuous compliance monitoring and automated spending alerts.
Opportunity Coverage
Faculty awareness of relevant funding opportunities increased 3x through proactive matching and alerts.
Implementation
From pilot to production in 12 weeks
Agent Design & Tool Integration
Defined agent capabilities, connected ML model, rules engine, graph DB, and chargeback API tools. Configured orchestrator routing logic.
Shadow Mode & Autonomous Tuning
Agents ran in shadow mode on 10% of transactions. Tuned decision thresholds, tool call parameters, and feedback loop retraining frequency.
Full Autonomous Deployment
Production rollout across all channels. Agents operating fully autonomously with human-in-the-loop for critical escalations only.
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