Government & Public Sector

Vantage enables government agencies to consolidate data across disparate legacy systems, automate compliance-heavy reporting, manage grant programs, and surface citizen-impact metrics — all within an auditable, secure environment. Every workflow execution is logged for FOIA readiness and audit trail requirements.

Automate Regulatory Filings and Audit Preparation

Automate the generation of compliance reports required by oversight bodies, with full audit trail.

Scenario: A federal agency must produce quarterly financial compliance reports for the Office of Inspector General, consolidating data from ERP, grants management, and performance reporting systems.

Workflow Steps:

1. Schedule Trigger — Run on the 1st and 15th of every month
2. Database Query (MSSQL) — Extract financial transactions: obligations, expenditures, de-obligations, and transfers from the agency's core financial system
3. Database Query (PostgreSQL) — Pull program performance metrics: outcomes delivered, milestones achieved, and variance from targets
4. Database Query (PostgreSQL) — Pull grant and cooperative agreement data: award amounts, drawdowns, matching fund status
5. Join — Merge financial, performance, and grant data on program code and fiscal period
6. AI Compliance Check — Evaluate each record against:
   • OMB Circular A-133 single audit requirements
   • Uniform Guidance (2 CFR 200) cost principles
   • Agency-specific appropriation restrictions
   • Anti-Deficiency Act compliance (obligations do not exceed apportionments)
   • Returns PASS, FAIL, or REVIEW with policy citation and reasoning
7. Multi-Conditional — Route by result:
   • PASS → Aggregation (summarize by fund, program, and fiscal quarter) → Write PDF (generate the compliance filing)
   • FAIL → Send Email to Inspector General liaison with flagged items + Create Issue (Jira) for corrective action plan + DB Write (quarantine flagged transactions)
   • REVIEW → Dashboard Output to Table Tile for analyst manual review
8. Data Validation — Verify totals reconcile: source system sum = report total (cross-foot check)
9. Write PDF — Generate formatted compliance report with cover page, executive summary, detailed findings, and appendix tables
10. Write Excel — Archive the supporting workbook alongside the PDF for FOIA readiness
11. Dashboard Output — Populate:
    • Waterfall Tile — Budget flow: appropriation → obligation → expenditure → remaining balance
    • Comparison Tile — Quarter-over-quarter obligation and expenditure rates
    • BI Intelligence Tile — AI-generated findings narrative: "Program 12-040 is 23% under-obligated compared to its spending plan, suggesting potential de-obligation risk."
    • Table Tile — Detailed transaction listing with compliance status
    • Metric Tile — Compliance pass rate, total obligations, unliquidated obligations

Key Nodes: Schedule Trigger, Database Query (MSSQL, PostgreSQL), Join, AI Compliance Check, Multi-Conditional, Data Validation, Aggregation, Write PDF, Write Excel, DB Write, Create Issue (Jira), Send Email, Dashboard Output

Track Grant Performance from Award Through Closeout

Track grant awards, monitor subrecipient performance, and automate drawdown reconciliation.

Scenario: A state agency administering $500M in federal pass-through grants needs to monitor 200+ subrecipients, track milestones, reconcile drawdowns, and flag at-risk awards.

Workflow Steps:

1. Schedule Trigger — Run weekly
2. Database Query (PostgreSQL) — Pull grant portfolio: award number, subrecipient, total award, amount drawn, balance remaining, performance period dates, milestone status
3. Database Query (MSSQL) — Pull drawdown requests and payment records from the financial system
4. Join — Merge grant records with payment data on award number
5. Computed Column — Calculate risk indicators:
   • Burn rate: amount_drawn / months_elapsed * total_months / total_award * 100 (is spend on track?)
   • Days remaining in performance period
   • Milestone completion rate: completed / total milestones
   • Administrative cost ratio: admin_costs / total_costs (flag if > 10%)
6. Filter — Flag at-risk awards:
   • Burn rate < 50% with < 6 months remaining (won't spend down)
   • Burn rate > 110% (will exceed award)
   • 0 milestones completed after 25% of performance period
7. AI Enrichment — Classify each at-risk award and generate recommended actions: "Award AG-2024-0142 has drawn only 31% with 4 months remaining. Historical pattern suggests a 63% probability of under-expenditure. Recommend scheduling a technical assistance call with the subrecipient."
8. Multi-Conditional — Route by risk level:
   • High risk → Send Email to grants manager + Create Issue (Jira) for intervention + Dashboard Output
   • Moderate risk → Send Message (Teams) to program officer + Dashboard Output
   • On track → Dashboard Output only
9. Dashboard Output — Populate:
   • Table Tile — Grant portfolio with risk status, burn rate, and milestone progress
   • Gantt Tile — Grant timelines: start → current → end, with milestone markers
   • Bar Tile — Budget vs. expenditure by program area
   • Map Tile — Subrecipient locations with risk color-coding
   • Metric Tile — Total portfolio value, amount disbursed, at-risk amount
   • Pie Tile — Grants by risk category (on track, at risk, critical)
10. Write PDF — Generate quarterly portfolio performance report for federal oversight

Key Nodes: Schedule Trigger, Database Query, Join, Computed Column, Filter, AI Enrichment, Multi-Conditional, Create Issue (Jira), Write PDF, Send Email, Send Message, Dashboard Output

Monitor Constituent Services and Enforce SLAs

Monitor citizen service requests, track SLA compliance, and identify service delivery gaps by district.

Scenario: A city government's 311 system receives thousands of citizen requests monthly (potholes, street lights, code violations, permits). Department heads need to see volume, response times, and SLA compliance by category and council district.

Workflow Steps:

1. Schedule Trigger — Run every hour
2. Zendesk — List Tickets — Pull all open and recently closed citizen service requests with category, priority, district, open date, and resolution date
3. Zendesk — Count Tickets — Aggregate ticket counts by category, priority, and status
4. Database Query (PostgreSQL) — Pull SLA definitions: target response time and resolution time by category and priority
5. Join — Merge tickets with SLA targets
6. Computed Column — Calculate:
   • Response time: first_response_date - created_date
   • Resolution time: resolved_date - created_date
   • SLA compliance: response_time ≤ target_response_time (boolean)
7. Geocode — Map ticket origin ZIP codes or addresses to council districts and neighborhoods
8. Aggregation — Roll up by district and category:
   • Total tickets, open count, resolved count
   • Average response time, average resolution time
   • SLA compliance rate %
9. AI Enrichment — Identify patterns: "District 7 has a 3x spike in pothole reports compared to the city average, concentrated along Main Street corridor. This correlates with the recent cold snap and may indicate infrastructure aging in that zone."
10. Multi-Conditional — Route by SLA status:
    • SLA breach rate > 15% → Send Email to department director + Send Message (Teams) to city manager's office
    • SLA breach rate 5–15% → Send Message (Teams) to department supervisors
11. Dashboard Output — Populate:
    • Map Tile — Service request heat map by location with category filters
    • Pivot Tile — District × Category breakdown with SLA compliance color-coding
    • Stat Tile — Citywide SLA compliance rate, open ticket count
    • Bar Tile — Top 10 categories by volume
    • Line Tile — Request volume and resolution time trends over 12 months
    • Event Feed Tile — Real-time new request feed
    • Comparison Tile — SLA performance this month vs. last month by department

Key Nodes: Schedule Trigger, Zendesk List Tickets, Zendesk Count Tickets, Database Query, Join, Computed Column, Geocode, Aggregation, AI Enrichment, Multi-Conditional, Send Email, Send Message, Dashboard Output

Relevant Integrations: Zendesk

Track Public Safety and Emergency Resources in Real Time

Track emergency service capacity, response times, and resource deployment.

Scenario: A county emergency management office needs to monitor fire, EMS, and law enforcement resource availability and response times to ensure adequate coverage across all zones.

Workflow Steps:

1. Schedule Trigger — Run every 15 minutes
2. Database Query (PostgreSQL) — Pull dispatch data: incident type, location, dispatch time, arrival time, unit assigned, status
3. Database Query (MSSQL) — Pull resource availability: units in service, units on scene, units available, staffing levels by agency
4. Geocode — Map incident locations to response zones
5. Aggregation — Calculate response metrics by zone:
   • Average response time (dispatch to on-scene)
   • Incidents per hour
   • Unit utilization: % of time on active calls
   • Coverage gaps: zones where all units are committed
6. Computed Column — Calculate:
   • Response time compliance: % under 8-minute target (NFPA standard)
   • Simultaneous call count: concurrent active incidents per zone
7. Filter — Zones where response time compliance < 90% or simultaneous calls > available units
8. Multi-Conditional — Route by alert:
   • Coverage gap (all units committed) → Send Message (Slack #emergency-ops) to request mutual aid + Dashboard Output (Event Monitor Tile)
   • Response time degradation → Send Email to division chief with performance data
9. Dashboard Output — Populate:
   • Map Tile — Active incidents and available units by location
   • Event Monitor Tile — Real-time incident tracker with severity and status
   • Metric Tile — Average response time, units available, incidents today
   • Bar Tile — Incidents by type (fire, EMS, law enforcement)
   • Line Tile — Response time trend by zone
   • Stat Tile — Response time compliance rate

Key Nodes: Schedule Trigger, Database Query (PostgreSQL, MSSQL), Geocode, Aggregation, Computed Column, Filter, Multi-Conditional, Send Message, Send Email, Dashboard Output

Example Dashboard: Government Operations Center

Build this dashboard to give agency leadership visibility into regulatory filings, constituent services, grant management, and emergency readiness.

Row 1 — Agency KPIs

Row 2 — Constituent Services

Row 3 — Grant Management

Row 4 — Emergency & Compliance

Row 5 — Performance & Reporting

Getting Started

To build government workflows:

1. Connect agency databases — Add your ERP, grants management, and case management databases under Integrations
2. Start with compliance — Build an AI Compliance Check workflow for your most critical reporting requirement
3. Add constituent services — Connect Zendesk (or query your 311 system database) for citizen request monitoring
4. Build dashboards — Waterfall and Comparison tiles work well for budget and performance reporting
5. Automate reports — Use Write PDF to generate audit-ready documents on a schedule