Top 10 AI Prompts and Use Cases and in the Government Industry in Fort Wayne

Indiana's AI conversation is shifting from policy to practice: a bipartisan state task force created in 2024 is now in year two of exploring how agencies use AI, while state tech leaders report an AI chatbot already links users across government websites and the Department of Workforce Development's opt‑in job‑matching tool produced top results that pay “nearly $4 an hour more” than self‑directed searches (IPB News report on Indiana task force on AI).

At the same time, regional economic strategy calls for making Indiana the nation's most AI‑ready state to protect manufacturing, logistics and life‑science jobs and close a widening skills gap (TechPoint / Inside Indiana Business analysis on Indiana AI readiness), and local investments - like Google's multi‑phase Fort Wayne data‑center project - are accelerating demand for trained talent.

For government staff and contractors preparing to deploy or oversee AI, practical upskilling such as the 15‑week AI Essentials for Work bootcamp can translate policy awareness into measurable service improvements and workforce outcomes (AI Essentials for Work bootcamp registration).

Bootcamp	Length	Early‑bird Cost
AI Essentials for Work	15 Weeks	$3,582

“I think there is a role for the legislature to help lay out what factors ought to be considered,” - Philip Lashutka, deputy general counsel for the governor.

Selection prioritized practical impact for Fort Wayne agencies: every prompt or use case had to demonstrate a clear pathway to workforce retraining, public‑facing communications, or measurable service improvement - criteria drawn from local upskilling guidance like Nucamp's workforce retraining strategies for Fort Wayne government agencies (workforce retraining strategies), plus lessons for maintaining message quality from a guide to prompt engineering for public information officers in Fort Wayne (prompt engineering for public information officers); technical feasibility and multimodal potential were cross‑checked against the field guide to foundation models and multimodal AI for government use in Fort Wayne (foundation models and multimodal AI).

Use cases tied to benefits administration and veteran support were flagged using sector reporting from Veterans Education Success news on veterans benefits and support (Veterans Education Success news), so local programs gain options that map to concrete retraining pathways (for example, the 15‑week AI Essentials for Work bootcamp referenced earlier: Nucamp AI Essentials for Work registration (AI Essentials for Work - Register)).

Organization	Email	Phone	Address
Veterans Education Success	help@vetsedsuccess.org	202-838-5050	1501 K Street NW, Suite 200, Washington, DC 20005

“VA should not be making it harder for student veterans to use their benefits and get ...”

A public‑facing Citizen Services chatbot for Allen County can follow Indiana's statewide beta model - launched in June after ingesting the state's public content to “speed navigation and help users find resources and understand agency responsibilities” (Indiana Capital Chronicle report on the Indiana state AI chatbot pilot) - so what: faster access to forms, program pages and eligibility guides without hunting through dozens of agency sites.

Practical next steps include built‑in privacy guards and clear vendor contracts (the state task force singled out data, cost and contract risks), plus a procurement path for vendors: register with the IDOA bidder portal, the Indiana Secretary of State, and the State Comptroller before proposing integrations with state systems (Indiana Office of Technology vendor registration and procurement guidance).

For county IT and communications teams, pairing the chatbot launch with targeted staff upskilling and prompt training closes the gap between a working prototype and reliable public service delivery (Fort Wayne government AI workforce retraining strategies).

Step	Action
1	Register with IDOA via the Supplier Portal (Manage My Bidder Profile)
2	Register business with Indiana Secretary of State (INBiz)
3	Register with State Comptroller: submit W‑9 and Automated Direct Deposit forms to IOTvendormanagement@iot.in.gov

“It is wonderful and it is scary.”

Pivot, the Department of Workforce Development's recommendation engine launched in November 2023, merges data from six state agencies to surface tailored training and job pathways - a DWD brief even says Pivot can “compare and contrast similar individuals to suggest pathways to the user that will provide a higher wage and meet the individual's career needs and goals” - and the tool has real traction locally: roughly 42,000 of 68,000 unemployment claimants used Pivot between last November and March (about 62% uptake), a level of engagement Resultant reports outpaces traditional outreach like email campaigns; Fort Wayne leaders should prioritize onboarding trusted local training providers into Pivot's feed, strengthen data‑quality controls, and build clear vendor contract and privacy safeguards so recommendations remain accurate and useful for Hoosiers (StateScoop: Indiana Pivot AI workforce recommendation engine coverage, Resultant: Indiana Department of Workforce Development Pivot client story).

Metric	Value
Launch	November 2023
Agencies combined	6 state agencies
Claimants (Nov–Mar)	68,000
Users who used Pivot	~42,000 (~62%)
Planned feature	Training‑provider recommendations

“It has truly forced us and a number of our agencies to start respecting and recognizing that data quality and data management has to be a part of any AI or [machine learning] journey and initiative.”

AI‑driven security log anomaly detection can give Fort Wayne's lean IT teams a practical way to surface unusual activity in internal systems without adding full‑time staff: models flag patterns worthy of human review, prioritize noisy alerts, and create concise summaries that accelerate triage and escalation.

To make that operational, pair narrowly scoped detection pilots with vendor and skills planning so analysts know when to escalate versus investigate, and invest in targeted upskilling - for example, the 15‑week AI Essentials for Work bootcamp - Nucamp registration - used in local workforce retraining strategies - so staff can turn model alerts into accountable incident response actions.

Tap the broader cybersecurity vendor and talent ecosystem highlighted in industry roundups like the Top 25 Women Leaders in Cybersecurity to identify experienced partners for model tuning and governance, and align any deployment with existing Fort Wayne procurement and privacy guidance to keep citizen data protected while improving threat visibility.

Name	Organization
Lisa Schreiber	Forcepoint
Maria Mastakas	Digital Shadows
Mairead Keaney	Huntsman Security
Honey Shelton	SBS CyberSecurity
Marcie Nagel	Avint LLC

Document review and public‑records triage can transform how an Indiana management performance hub handles FOIA requests and routine disclosure: foundation models and multimodal AI can ingest PDFs, emails and scanned records to extract named entities, dates, and cited exemptions, auto‑tag requests by topic and recommended custodial owner, and surface suggested redactions for human review - so what: records officers spend less time on keyword searches and clerical sorting and more on legal decisions and complex exemptions.

Implementing this safely requires targeted staff upskilling and prompt standards so summaries remain accurate and defensible; tie rollout to local workforce retraining strategies for Fort Wayne and train public communicators in prompt engineering for public information officers to protect message quality and maintain public trust (AI Essentials for Work - foundation models and multimodal AI, Scholarships and workforce retraining strategies, AI Essentials for Work - prompt engineering for public information officers).

AI‑powered email summarization turns long constituent threads, phone notes, and agency updates into a short, actionable case summary and a prioritized draft reply - letting staff

tweak small details rather than write from scratch

so attention goes to legal or time‑sensitive decisions rather than composition.

Use the Popvox guide to drafting case-related emails (Popvox guide to drafting case-related emails) as a starting point.

Set prompts to extract: the core request, deadlines or appeal windows, required documents, and a recommended next step; specify tone options like

warm but professional

and include any action the constituent must take, as illustrated in the Popvox constituent response letter prompt example (Popvox constituent response letter prompt example).

Follow proven prompt‑prep steps - gather source materials, constrain readability and facts, and review outputs for accuracy and PII - so summaries are reliable and defensible, as recommended in the Dept.

of Civic Things guide to preparing AI prompts for government content (Dept. of Civic Things guide to preparing AI prompts for government content).

In Fort Wayne, pairing this workflow with prompt‑engineering training for public communicators creates consistent, faster replies that surface urgent cases first and free up officials to focus on policy and case resolution.

An AI translation and accessibility assistant that produces Spanish translations and plain‑language summaries for Fort Wayne's public pages should be built to support the City's existing accessibility commitments - matching Section 508 and WCAG 2.0 A/AA guidance and Engage Fort Wayne's Level‑AA target - so translated alerts, meeting notices and project summaries remain usable by residents who rely on screen readers or need simplified text; pair automated outputs with a clear feedback loop (Engage Fort Wayne's contact options are published and include phone 260‑427‑8311 and engagefortwayne@cityoffortwayne.org) to accept format requests and corrections.

Integrate local accessibility resources - like the League for the Blind and Disabled, Citilink Access and Visit Fort Wayne's inclusion guidance - into the workflow so translators can route complex or assistive‑technology requests to human specialists, and publish a plain‑language version alongside every Engage project page to meet both legal standards and everyday usability for older Hoosiers and Spanish‑speaking residents (Fort Wayne website accessibility guidelines (City of Fort Wayne), Engage Fort Wayne accessibility (Level AA target), Visit Fort Wayne accessibility resources and inclusion guidance).

Contact	Phone / Email
Engage Fort Wayne	260‑427‑8311 / engagefortwayne@cityoffortwayne.org
Visit Fort Wayne (Lydia Harris)	(260) 424‑3700 / lydia@visitfortwayne.com
League for the Blind & Disabled	(260) 441‑0551 or (800) 889‑3443 / the‑league@the‑league.org

Video‑monitoring analytics for downtown Fort Wayne should focus on converting continuous camera streams into privacy‑aware, searchable camera metadata - using long‑video understanding and retrieval methods like DrVideo and Vid2Sim from recent CVPR research to summarize events and produce time‑stamped object and scene descriptors (CVPR 2025 accepted papers on long-video and multimodal techniques (long-video understanding research)); pair those models with open‑world uncertainty estimation and biometric‑defense approaches (also showcased in the CVPR lineup) to flag out‑of‑distribution events and suppress or obfuscate sensitive facial data before storage or review.

Trainable pipelines can be validated against public camera and urban datasets discovered through the Registry of Open Data on AWS (urban and municipal datasets), and operational rollouts should tie to local upskilling so small municipal teams retain control - practical outcome: continuous feeds become compact, time‑stamped metadata and uncertainty scores that let city staff act on a short set of prioritized clips rather than sifting through raw video, preserving both safety and residents' privacy (Fort Wayne workforce retraining strategies for municipal AI deployment).

Fort Wayne procurement teams can use an “AI Policy & Vendor Contract Checklist Helper” to translate Indiana's AI governance into concrete contract language and procurement steps - start by mapping each vendor term to the State of Indiana AI Policy (OCDO/MPH) requirements (including the AI Readiness Assessment submission and the AI Policy Exception process) and flag clauses that would block IOT Software Authorization if left unaddressed; contact ResponsibleData@mph.in.gov as the formal intake point.

The checklist should require: evidence of approved Readiness Assessment or an Out‑of‑Scope Affirmation, executed contracts and data‑flow diagrams, explicit data‑ownership and model‑training prohibitions (no use of non‑public agency data for vendor training), IP and portability rights, and annual review/exception renewal terms - clauses that align with federal acquisition best practices like testbeds, performance‑based contracting and supplier portability from the General Services Administration generative AI acquisition guide and the recent Office of Management and Budget procurement guidance that emphasize IP protections and avoiding vendor lock‑in.

So what: embedding these items into a pre‑award checklist prevents IOT hold‑ups and preserves agency control over data, models and long‑term interoperability, turning policy into faster, auditable procurements (State of Indiana AI Policy & Guidance: State of Indiana AI Policy & Guidance, GSA Generative AI Acquisition Guide: GSA generative AI acquisition guide and resources, OMB AI Procurement Memos Summary: summary of new OMB AI procurement memos).

Checklist Item	Why it matters
AI Readiness Assessment / Exception	Required for IOT Software Authorization; documents risk level and approval path
Executed contracts, data‑flow diagrams, DSA	MPH requires these documents for assessment and ongoing review
Data use & training prohibitions	Prevents vendor use of non‑public agency data for model training and preserves privacy/IP
Model portability & IP rights	Reduces vendor lock‑in and ensures continuity at contract closeout per federal guidance

Algorithmic fairness for Fort Wayne programs must move beyond checkbox transparency to a repeatable three‑step practice: begin with an ethical risk assessment that maps foreseeable harms and non‑essential high‑risk features, perform a labeled, intersectional bias audit that uses self‑identified demographic data to surface disparate impacts, and commit to measurable adjustments and post‑deployment monitoring so fixes persist rather than

“blackball” citizens over time

- steps drawn from an exhaustive legal playbook on hiring tools and accountability (Algorithmic Bias and Accountability law review article).

The urgency is practical: recent litigation shows vendors and governments face real exposure - a federal court preliminarily certified an ADEA collective alleging age discrimination from an AI screening tool, a stage that can open notice to millions of affected applicants and drive discovery that hinges on whether agencies audited tools before deployment (Mobley v. Workday AI hiring age discrimination case coverage).

So what: Fort Wayne can reduce legal and service risk by embedding audit requirements in procurements, insisting on labeled test sets for local populations, and funding recurring audits tied to vendor contract milestones.

Step	Required Action
Ethical Risk Assessment	Identify harms, prioritize non‑essential risky features
Bias Audit	Run labeled, intersectional tests; report results publicly
Adjustments & Monitoring	Remediate models, require post‑deployment reviews in contracts

Data‑driven community insights turn raw public‑health and workforce data into actionable stories that guide where Fort Wayne invests training and services: for example, the HIFLD USA Hospitals dataset (Kaggle) can be layered with local demographics to highlight neighborhoods with few nearby inpatient beds or allied‑health employers, then matched to targeted cohorts from local retraining pipelines so residents train where jobs actually exist.

Visual maps, short case studies, and localized success metrics make these findings digestible for councils and grantmakers; pair that reporting with practical upskilling and curriculum links so training slots convert into hires (Nucamp Job Hunt Bootcamp syllabus - workforce retraining strategies and job search preparation).

Use concise storytelling techniques and prompt‑ready summaries from workforce retraining playbooks to keep reports useful to non‑technical audiences and to accelerate placement - Nucamp's materials on AI Essentials for Work syllabus - guide to foundation models and multimodal AI for business show how to turn datasets into clear, fundable interventions that shorten commutes and speed hiring.

Getting started in Fort Wayne means turning Indiana's enterprise AI guardrails into simple, repeatable practice: inventory every tool, submit an AI Readiness Assessment to the State of Indiana AI Policy & Guidance team and secure the required Policy Exception before deployment (contact ResponsibleData@mph.in.gov), bake vendor clauses for data‑use, portability and annual audits into procurements, and pair each pilot with staff upskilling so humans remain the final check on outputs - practical next moves that reduce legal and operational risk while making services faster and more equitable.

Local teams can follow the state's NIST‑aligned process for risk triage, require labeled test sets and post‑deployment reviews to catch bias, and invest in a targeted training path (for example, the 15‑week AI Essentials for Work bootcamp) so operators know how to prompt, validate, and escalate model outputs.

For Fort Wayne leaders the payoff is concrete: a documented readiness path that clears IOT Software Authorization hold‑ups, preserves agency control, and turns early pilots into auditable, repeatable services the public can trust (see the Indiana state AI task force report for real‑world use cases and concerns).

Immediate Step	Action / Resource
Tool inventory	Catalog AI features already in use; flag systems for assessment
Regulatory intake	Submit AI Readiness Assessment / Out‑of‑Scope Affirmation to ResponsibleData@mph.in.gov (Indiana State AI Policy & Guidance)
Workforce upskill	Enroll practitioners in practical training (e.g., AI Essentials for Work bootcamp registration)

“It is wonderful and it is scary.”