Government
Government agencies handle thousands of repetitive inquiries every month. The National League of Cities estimates that 60-70% of call volume in mid-size government offices consists of routine informational questions — office hours, document checklists, fee amounts, and service locations. This agent absorbs that volume by providing instant, accurate answers 24/7. The State of Indiana's INBiz program, deployed on Tars, reduced inbound calls by over 4,000 per month by automating routine citizen service interactions. For agencies operating with flat or shrinking budgets, deflecting even a third of routine calls frees staff to focus on complex casework that actually requires human expertise.
Government web forms with long dropdown menus and free-text fields see abandonment rates as high as 70% for complex submissions. The conversational agent asks residents plain-language questions to determine the right complaint category, captures all required details in sequence, and confirms the submission before finalizing. This guided approach ensures complaints arrive with complete, structured information that staff can act on without follow-up calls.
The most common question any board of elections receives is "Where do I vote?" The AI agent can direct voters to their correct polling place based on their address or precinct number, including hours of operation, parking information, and accessibility details. This single capability can deflect 30-40% of all inbound phone calls during the week before an election.
City governments are not monolithic — a single citizen interaction might touch public works, utilities, and code enforcement. This AI agent uses conditional logic to identify which department a request belongs to based on the citizen's description, then collects the specific information that department needs. A noise complaint routes differently than a water main break, and the agent knows to ask for different details in each case. This eliminates the round-robin transfers that frustrate citizens and waste staff time.
Government web forms see abandonment rates as high as 70% for complex submissions. The primary reason is cognitive overload: residents encounter a wall of fields, unsure which are required, what format to use, or whether their feedback will actually be read. A conversational AI agent eliminates this friction by presenting one question at a time in a natural dialogue. Each response triggers the next relevant question, creating a guided experience that feels effortless. County governments that switch from static forms to conversational feedback channels consistently see 2-3x improvements in completion rates, translating directly into more resident voices captured per month.
The agent asks targeted questions about household income, insurance status, age, and disability status to determine which prescription assistance programs a citizen may qualify for. Instead of forcing residents to read through pages of program criteria, the bot surfaces relevant options based on their specific situation. This is critical given that 22% of safety-net clinics report not using patient assistance programs because enrollment is too complex.
Vague location descriptions are the number one reason pothole reports require follow-up. The agent prompts citizens for a specific intersection or address, and on mobile devices, can request GPS coordinates directly. Reports arrive with enough location detail for crews to find the exact spot without a callback, cutting the average time between report and repair by eliminating the reconnaissance step.
State libraries typically license dozens of digital databases and platforms — from academic research databases and newspaper archives to e-book lending systems like OverDrive and Libby. Patrons frequently contact the library because they cannot figure out how to access these resources remotely, need help with authentication, or do not know which database contains the information they need. This agent walks patrons through resource access step by step, troubleshoots common issues like expired library cards or browser compatibility problems, and recommends the right database for their research question. This addresses what is consistently one of the highest-volume inquiry categories for state library reference desks.
Zoning questions are the single highest-volume inquiry type for most planning departments. This agent walks citizens through common zoning classifications, permitted and conditional uses, dimensional standards, and overlay districts relevant to their property or project. Rather than directing residents to a 200-page zoning ordinance PDF, the agent provides targeted answers based on the type of question asked. This dramatically reduces the number of "What can I do with my property?" calls that consume planner time.
The agent asks about a job seeker's employment history, education level, barriers to employment, and career interests to match them with relevant programs. Whether someone qualifies for WIOA adult services, youth employment programs, Trade Adjustment Assistance, or veteran-specific initiatives, the agent identifies the best fit and explains next steps. This replaces the common frustration of browsing dozens of program pages without knowing which ones apply.
The agent asks household size, income range, and utility account details to determine likely eligibility before a citizen invests time in a full application. This reduces incomplete submissions and saves caseworker time by filtering out clearly ineligible applicants early. Pre-screening logic can be customized to match your state's specific LIHEAP or weatherization guidelines.
The agent asks citizens about household income, family size, and participation in qualifying federal programs to determine which telephone assistance schemes they may be eligible for. Instead of requiring citizens to read through dense program documentation, the bot narrows options in real time and presents only the programs relevant to their situation. This reduces confusion and increases the likelihood of successful enrollment.
Veterans are often eligible for multiple overlapping benefits but do not know which ones apply to their situation. This agent walks veterans through a structured eligibility screening based on their service dates, discharge status, disability rating, and dependent information. Instead of requiring veterans to read through lengthy policy documents, the conversational flow surfaces the programs they qualify for and prioritizes the most impactful next step.
City governments typically operate across 15-30 departments, each with different processes, contacts, and service windows. This agent maps the full service catalog into a conversational structure that routes citizens to the right department on the first interaction. Whether a resident needs to reach code enforcement about a property violation, parks and recreation about a facility rental, or the clerk's office about a business license, the agent handles the routing logic that would otherwise require a trained call center operator.
Economic development agencies typically offer dozens of programs across workforce, infrastructure, incentives, and industry networks. Businesses visiting agency websites often cannot determine which programs apply to them without significant research. The AI agent asks targeted questions about the company's industry, size, growth stage, and objectives, then matches them to the relevant programs. This eliminates the most common friction point: businesses leaving the website without ever finding the service they needed.
Government business services sites are notoriously complex. The Missouri Secretary of State's website alone covers entity formation, name reservations, UCC filings, notary commissions, and trademark registrations across dozens of sub-pages. This agent acts as a guided navigator, asking citizens what they need and walking them through the exact steps, required documents, and filing fees for their specific request. Instead of citizens clicking through five levels of navigation, they describe what they need in plain language and receive a clear, step-by-step path forward.
Alcohol and tobacco licensing involves multiple permit categories with different requirements, fees, and documentation. The agent maps the full license taxonomy for a given state commission and routes applicants to the correct application pathway based on their business type and intended activity. Whether someone is applying for a three-way retail permit, a beer and wine dealer license, or a caterer's permit, the bot surfaces the right forms and requirements without requiring the applicant to understand the commission's internal classification system.
Government officials need a channel to communicate accomplishments beyond press conferences and social media posts. This agent walks citizens through completed projects, active programs, and measurable outcomes in a conversational format. Rather than asking citizens to read through dense annual reports, the bot presents achievements in digestible, interactive segments that citizens can explore based on topics they care about most.
Government business registration spans dozens of entity types, industries, and jurisdictions, each with different follow-up needs. This agent uses conditional branching to tailor the survey path based on the registrant's responses. A home-based consulting LLC sees different questions than a brick-and-mortar restaurant or a multi-member S-corp. This means registrants only answer questions relevant to their situation, which keeps completion rates high while ensuring your agency captures the specific data points each department needs.
The Arizona Corporation Commission oversees business entity filings, securities regulation, utility rate oversight, and railroad safety. This agent handles inquiries across all four domains from a single entry point, using conditional logic to route citizens to the correct information path. Unlike a basic FAQ page that forces citizens to know which department handles their question, the bot identifies the right domain through natural conversation and delivers targeted guidance without exposing the organizational complexity behind the scenes.
County human services departments often administer dozens of programs across behavioral health, aging, child welfare, housing, and workforce development. Residents rarely know which program they qualify for or even which department to contact. The AI agent asks a series of plain-language questions about the resident's situation and routes them to the appropriate program area, functioning as a digital front door that replaces the confusing phone trees and buried web pages that drive citizens away.
Parents frequently call child support offices for basic case status updates, which ties up caseworker phone lines with routine inquiries. The AI agent guides callers through common status questions, explains where they are in the enforcement or modification process, and directs them to the appropriate next step. This deflects the highest-volume call type in most child support offices without compromising the quality of information parents receive.
A single 311 system serves as the front door for dozens of municipal departments. This agent uses conditional logic to categorize requests and route them to the correct team — public works for infrastructure, code enforcement for violations, parks and recreation for facility issues, utilities for water and sewer. Each department receives only the requests relevant to their operations, formatted with the specific data fields their staff need to act. This eliminates the manual triage step that consumes hours of 311 operator time every day.
The agent guides residents through a step-by-step conversation that captures the service category, precise location, issue description, urgency level, and optional photo evidence. This structured approach eliminates the vague, incomplete submissions that plague traditional web forms — where government forms see abandonment rates as high as 70% for complex submissions. Every request arrives in a format dispatchers can act on immediately, reducing back-and-forth calls to clarify details.
Gartner predicts that 80% of governments will deploy AI agents to automate routine decision-making by 2028, yet most agencies still rely on overloaded call centers and web forms with abandonment rates approaching 70%. AI agents give public-sector teams a way to close that gap in weeks, not years.
Citizens face hold times, confusing forms, and offices closed after hours. Government form abandonment rates approach 70%, and 311 call centers field thousands of repetitive inquiries daily.
Rule-based logic handles eligibility and permit routing while citizens describe their situation in plain language. Pre-built connectors for Tyler Technologies, CivicPlus, and OpenGov are included.
Appeals, legal questions, and safety concerns escalate with full transcript attached. Tars meets Section 508, WCAG 2.1 AA, SOC 2 Type 2, ISO 27001, and multilingual access requirements.
Government
features
From 311 municipal services to state benefits enrollment to federal constituent support, Tars deploys government AI agents that satisfy IT security, accessibility, and oversight requirements while measurably improving citizen experience.
Deterministic steps enforce eligibility and permit rules without deviation while AI lets citizens state their needs in plain language — in one flow.
Indiana INBiz saved $500K+ and cut 4,000+ calls/month with 24/7 availability. Missouri Secretary of State automated 200,000+ conversations on Tars.
Deployed in 3-4 weeks. SOC 2, ISO 27001, and GDPR are platform-level. Pre-built connectors for Tyler Technologies, CivicPlus, and OpenGov included.
Tars measures every interaction for resolution accuracy and quality. 78% of users rated AI interactions higher than human in head-to-head comparisons.
Government procurement standards are stricter than commercial requirements. A failed accessibility audit can block deployment, a data breach involving citizen PII can trigger legislative hearings, and an unexplainable automated decision can erode public trust. These six criteria separate government-ready platforms from general-purpose tools.
Government
FAQs
Government AI agents handle both citizen engagement and citizen support workflows. On the engagement side, they guide residents through benefit and grant eligibility screening, permit and license applications, voter registration, business registration, and program enrollment. On the support side, they process 311 municipal requests (pothole reports, missed trash collection, streetlight outages), answer questions about document requirements and office hours, provide application status updates, route non-emergency police reports, and resolve frequently asked questions. Tars offers 72 government AI agent solutions covering municipal, county, state, and federal use cases across elections, veteran affairs, public safety, transit, parks, libraries, and human services.
A compliant government AI agent must meet WCAG 2.1 AA standards, which Section 508 incorporates as the federal accessibility benchmark. Required capabilities include full keyboard navigation without a mouse, screen reader compatibility with assistive technologies like JAWS and NVDA, minimum 4.5:1 color contrast ratios for all text, and text alternatives for non-text elements. The DOJ's ADA Title II final rule requires state and local government websites and digital services to conform to WCAG 2.1 AA by April 2026 for entities serving populations of 50,000 or more. Agencies should request an Accessibility Conformance Report (ACR/VPAT) from any AI agent vendor and verify it covers the chat widget itself, not just the vendor's marketing site.
At minimum, require SOC 2 Type 2 and ISO 27001 certifications, both of which verify information security controls through independent audits. Tars holds both certifications along with GDPR and HIPAA compliance. Federal agencies should additionally evaluate FedRAMP authorization status. All platforms should encrypt citizen PII at rest and in transit, maintain immutable audit logs for FOIA and oversight purposes, support configurable data retention policies, and provide role-based access controls so only authorized staff can view sensitive conversation data.
Tars deploys production-ready government AI agents in 3-4 weeks, covering conversation flow configuration, integration with existing systems like Tyler Technologies or CivicPlus, accessibility verification, and staff training on live agent handoff procedures. Qatar Foundation moved from contract signature to go-live in under three weeks for a 10,000-employee deployment with WhatsApp integration. This contrasts sharply with custom in-house builds that typically take 6-12 months and require ongoing engineering maintenance, security patching, and compliance re-certification that Tars handles at the platform level.
Tars connects to government-specific systems including Tyler Technologies (Munis for financial management, iasWorld for property assessment), CivicPlus for municipal websites and citizen engagement portals, and OpenGov for budgeting, permitting, and reporting. The platform also integrates with Salesforce and HubSpot for constituent relationship management, Zendesk for helpdesk operations, Google Calendar for appointment scheduling, Slack for internal staff notifications, and WhatsApp for direct citizen messaging. For agencies running legacy databases or mainframe systems, custom integrations are supported through APIs and webhooks. In total, Tars supports 700+ integrations.
Yes. Tars supports multilingual AI agent deployment natively, which is critical for compliance with Executive Order 13166 requiring meaningful language access for limited English proficiency populations. The Census Bureau reports that 22% of U.S. residents speak a language other than English at home, and underserved communities that most need government assistance often face the highest language barriers. Native multilingual support preserves accuracy for government-specific terminology, including benefit program names, regulatory terms, and agency-specific processes, that generic translation layers frequently mishandle.
Indiana INBiz saved over $500,000 annually and reduced call center volume by 4,000+ calls per month after deploying a Tars AI agent, while extending service availability to 24/7/365. Missouri Secretary of State automated more than 200,000 citizen conversations. Workforce Solutions of Central Texas fully automated their Level 1 citizen support online. AI-powered interactions cost between $0.25 and $0.50 per conversation compared to $3 to $6 for staffed call center interactions (IBM Research), making the ROI case straightforward for agencies managing hundreds of thousands of annual citizen contacts. The global AI in government market is projected to grow from $26.4 billion in 2025 to $135.7 billion by 2035 at a 17.8% CAGR (Future Market Insights).
Every Tars AI agent conversation is logged with a complete transcript, timestamps, and a record of which decision paths were followed during the interaction. This audit trail is essential for agencies subject to FOIA requests, inspector general investigations, and legislative oversight inquiries. Administrators can export conversation records, configure data retention policies aligned with their jurisdiction's records retention schedules, and set role-based access controls for different staff and oversight roles. Gartner projects that by 2029, 70% of government agencies will require explainable AI and human-in-the-loop mechanisms for all automated decisions affecting citizen services, making built-in auditability a procurement requirement rather than a feature request.
Email - sales@hellotars.com
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