AI Agents for Government
FISTA Solutions builds public sector AI agents that shorten response times without touching entitlement decisions: triaging service requests, drafting multilingual responses from approved content, extracting submitted documents, prioritizing backlogs by statutory deadline, and answering staff policy questions with citations.
- 150+
- projects delivered
- 50+
- companies served
- 99.9%
- verified uptime
- 47%
- efficiency gains
- 12+
- countries reached
What we build
What can AI agents do in government?
Government agents classify and route inbound requests, draft resident responses in the resident's language from approved content, extract and validate submitted documents, prioritize queues by statutory deadline, and answer staff policy questions with citations to the current published rule.
- 01
Service request triage agent
Classifies and routes inbound requests across channels, extracting the structured fields staff would otherwise retype.
Intake - 02
Multilingual response agent
Drafts responses in the resident's language from approved templates and policy, with human verification before sending.
Access - 03
Document intake agent
Extracts and validates submitted forms and evidence, flagging missing items before a case reaches a caseworker.
Documents - 04
Backlog prioritization agent
Ranks queues by statutory deadline and completeness so scarce caseworker time prevents missed obligations.
Operations - 05
Staff policy agent
Answers procedure questions from approved manuals with citations to the current version, reducing intranet archaeology.
Internal
Requirements
What guardrails do government agents need?
Public sector agents affect residents' access to services, so the guardrails are about authority, transparency, and equity: no determinations, published-policy citations, human approval on notices, accessible output, and records retained for public accountability.
| Guardrail | Why it matters here | How FISTA implements it |
|---|---|---|
| No determination authority | Eligibility and rights decisions belong to authorized staff. | Agents prepare and recommend only; determinations require an authorized human, recorded with their rationale. |
| Transparency | Residents and oversight bodies can ask how a decision was reached. | Full traces retained, citations to published policy on every answer, and disclosure that the resident is interacting with an assistant. |
| Language access | Limited-English-proficiency residents have a right to service. | Multilingual drafting with human verification for notices, and language metadata preserved for assistive technology. |
| Accessibility | Outputs must work with assistive technology. | Plain-language constraints, accessible formats for generated documents, and testing with screen readers. |
| Records retention | Agent interactions may be public records. | Retention schedules applied to transcripts and outputs, with exportable records including metadata. |
Where AI fits
Which government workflow should you automate first?
Start with the staff policy agent and document intake. Neither touches determinations, both remove measurable hours, and they build the trace history and staff confidence that an outward-facing resident agent will need before approval.
- 01
1. Serve staff first
A policy question agent is low risk, immediately useful, and generates real usage evidence for governance review.
- 02
2. Add document intake
Extraction and completeness checking reduce rework before cases reach caseworkers, with humans verifying values.
- 03
3. Triage the queue
Classification and deadline-aware prioritization improve equity of response without deciding anything.
- 04
4. Draft resident responses
Multilingual drafting with staff approval extends access while keeping accountability with the agency.
- 05
5. Publish your use
Document intended use, limits, and oversight, because public trust depends on being able to explain the system.
Cost and timeline
How much does an AI agent for government cost, and how long does it take?
Cost is driven by system integration, language coverage, and accessibility requirements; timeline by security review and procurement. FISTA does not quote blind: the scoping call returns an agent design, a governance plan, and a phased estimate.
Governance review is the schedule, not the build. Security assessment, privacy review, accessibility conformance, and public-facing approval all take calendar time. FISTA produces the documentation those reviews need during delivery, and sequences internal agents first so value arrives while approvals proceed.
Language coverage is a scoped decision. Each additional language adds verification workflow rather than just a translation call, because notices need human confirmation. FISTA prioritizes languages by resident population so the access gain is real.
Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.
Get a scoped quoteDelivery
How does FISTA deliver an AI agent into production?
FISTA delivers agents in four gated phases: a discovery sprint that picks the workflow and writes the agent specification, a design that names tools, permissions, and approval points, a build with an evaluation harness and shadow runs on real work, and a production release with traces, dashboards, and rollback.
- 1
Select and specify
Choose the workflow with a measurable outcome, map its systems and edge cases, and write the agent spec with success metrics.
OutputAgent specification, golden test set
- 2
Design the guardrails
Tool inventory with least-privilege scopes, approval gates, escalation paths, data handling, and the evaluation plan.
OutputTool and permission matrix
- 3
Build and shadow-run
Implement tools as MCP servers or connectors, iterate against the evaluation harness, and run in shadow mode on live inputs.
OutputShadow-mode results, eval scores
- 4
Release and observe
Graduated rollout, full traces, cost and quality dashboards, on-call runbook, and a change process that re-runs the evals.
OutputProduction agent with SLOs
Why FISTA
Why choose FISTA Solutions to build your government agents?
FISTA builds public sector agents with no determination authority, citations to published policy, and accessibility applied to generated output, delivered directly or as a subcontractor to primes with full flow-down compliance.
Government specifics
- Determinations always require an authorized human; the agent's role is preparation and retrieval, and the record says so.
- Answers cite the current published policy version, so residents and staff can verify rather than trust.
- Generated documents and responses meet accessibility standards and preserve language metadata.
- Delivery works directly or under a prime, with flow-down compliance and handoff artifacts per task order.
How FISTA engineers
- Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
- AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
- Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
- One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.
What you get as a client
- 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
- A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
- US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
- Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.
Clear answers
What teams ask before deploying agents.
Straightforward guidance for evaluating scope, fit, and the next step.
01Can an AI agent decide a resident's eligibility?
No. FISTA builds agents that gather information, check completeness, retrieve policy, and prepare recommendations. Eligibility and rights determinations require an authorized human, and the record captures who decided and on what basis.
02How do you keep public sector AI transparent?
Intended use and limits are documented, residents are told they are interacting with an assistant, every answer cites published policy, and full traces are retained subject to records schedules so oversight bodies can review actual behavior.
03Can agents serve residents in other languages?
Yes, with drafting in the resident's language from approved content and human verification before notices are sent. Languages are prioritized by resident population, and generated output preserves language metadata for assistive technology.
04Will this work with our legacy case management system?
Usually, through whatever interfaces it exposes, and read-only at first. Where the system has no API, agents work alongside it with human-mediated entry rather than screen-scraping a system of record.
05Can FISTA deliver this under a prime contract?
Yes. Subcontract delivery with flow-down compliance is the standard model for FISTA's public sector work, documented in the government contracting section by market.
06How long until an agent is live?
A staff-facing agent can be in supervised use within weeks; resident-facing deployment typically follows security, privacy, and accessibility review. Discovery maps those gates and their owners before you commit.
Scoped in writing before you commit
Shorten the wait without moving the decision.
Bring the backlog, the language gap, or the intake burden. The scoping call returns an agent design, a governance plan, and a phased estimate.