Free AI diagnosis: 30 minutes, and you leave with a plan

Examples

AI use cases in government by function

Six ways agencies and their contractors put AI to work, from reading documents to flagging fraud, with the figures behind adoption and what stays with a person.

Updated 5 min read

The short answer

AI use cases in government center on paperwork-heavy, repetitive work: reviewing documents, handling forms and requests, checking proposals against compliance rules, answering calls and chats, flagging fraud and preparing reports. Each example notes the AI's part and the point where an official decides.

Key points

  • Most federal use cases support internal operations, not public-facing services
  • Each example keeps a person in charge of the final call
  • Data privacy and security rules shape every deployment

Examples

AI in government examples by function

Results appear only where a published source or a client project backs them.

  • Documents

    Document review: reading long files fast

    AI reads case files, contracts and attachments, pulls out the key data and flags what needs a human look.

    Read the case →

  • Public services

    Forms and requests: intake sorted on arrival

    AI reads each submitted form and checks it for missing fields. Then it routes the file to the right team.

  • Procurement

    Procurement: proposals checked against requirements

    A contractor's AI workflow pulls past performance, checks compliance against the solicitation and formats the proposal to spec.

    3xproposal capacity

    Read the case →

  • Citizen contact

    Calls and chat: residents get answers

    A voice or chat assistant answers routine questions and passes complicated cases to staff with the conversation attached.

    Read the case →

  • Finance

    Fraud detection: suspicious payments flagged

    Machine learning screens payments and checks for patterns that look wrong, so investigators review the riskiest ones first.

    $1Brecovered on check fraud

  • Reporting

    Reporting: figures gathered and drafted

    AI pulls numbers from several systems and drafts recurring reports for an analyst to check and sign off.

    Read the case →

How widely is AI used in government?

  • 1,110 use cases

    Reported in 2024, up from 571.

  • 282 generative

    Up from 32 a year earlier.

  • Mostly pilots

    Nearly 60% not yet fully deployed.

These AI in government examples start with federal use, which is growing quickly.

Reported AI use cases almost doubled in a year, from 571 in 2023 to 1,110 in 2024, according to the Government Accountability Office.

Generative AI grew faster still, from 32 use cases to 282 in the same period. That is the fastest-moving slice of generative AI use cases in government.

Brookings found nearly 60% of reported use cases still in pilot or pre-deployment.

Where agencies start

  1. 01

    Pick a problem

    Choose the slow, repetitive task.

  2. 02

    Start small

    Aim for a basic productivity gain.

  3. 03

    Keep a person in charge

    Staff review what matters.

  4. 04

    Add the next one

    Expand once the first works.

GAO reports that 61 percent of use cases fall under mission-enabling functions, the internal work that keeps an agency running.

New America makes the same point. Basic productivity gains are far easier to reach than ambitious transformations, and good teams lead with problems.

That is why document handling, intake and reporting come first. They are frequent, rule-based and easy to measure.

Contractor case, proposals in under an hour

Before

  • About 60 hours per proposal
  • 3 to 4 proposals a quarter

After

  • Under one hour per proposal
  • 12+ proposals a quarter
  • 23% higher win rate

Proposal time for a federal contractor bidding on $10M+ contracts fell from about 60 hours to under one. We built an AI workflow that pulls past performance, checks compliance and formats to spec.

The team now submits 12+ proposals a quarter instead of 3 to 4, with a 23% higher win rate.

See our work for government agencies and contractors, or read the AI in government guide.

Rules and risks to plan for

Plan for

  • Data privacy rules
  • Controlled information limits
  • Human review of outputs

Avoid

  • Pasting sensitive data into public tools
  • Skipping the approval step
  • Starting without a clear problem

Policy shapes what agencies can do. OMB memo M-25-21 asks agencies to speed up AI use around innovation, governance and public trust, and M-25-22 covers how they buy AI.

Privacy can slow things down. Officials at 10 of 12 selected agencies told GAO that existing policy, such as data privacy rules, could get in the way.

Contractors face extra limits. Defense work often requires protecting controlled unclassified information under NIST SP 800-171, which affects which AI tools staff may use.

Local government guidance adds that AI can produce errors and raise confidentiality and bias concerns, so outputs need checking.

Choosing your first use case

Look for work that is frequent, rule-based and costly in staff hours. Our AI consulting engagements start by mapping those processes and ranking them by payback.

For related ideas, browse AI use cases by business function or the document processing work.

  • Count the hours a task takes each month
  • Check which data it touches and who may see it
  • Pick one with a clear, measurable result

Our data

What AI answers when buyers ask

We asked ChatGPT, Gemini and Perplexity 10 buyer questions about AI for government contractors and agencies. They named 90 companies, and 69% appeared in only one of the three.

CriterionChatGPTGeminiPerplexity
Companies named433847
Sites cited mostgovdash.com and deloitte.com (3 of 10)civio.ai (5 of 10)govdash.com and technomile.com (5 of 10)

Nexum measurement, October 20, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 10 companies appeared in all three. Google showed an AI Overview for 7 of the 10 questions.

FAQ

Questions about AI in government

  • Common examples include reading and sorting documents, routing forms and requests, answering resident calls and chats, flagging fraud, checking proposals against requirements and drafting reports. Each keeps staff in charge of decisions.

  • Federal agencies reported 1,110 AI use cases in 2024, per GAO. The administration's executive order and OMB memos set policy to expand AI use and govern how agencies acquire it.

  • Drafting documents, summarizing long records, answering questions from policy text and preparing reports. GAO counted about nine times more generative use cases in 2024 than the year before.

  • Internal operations lead: document handling, intake, case management and reporting. Public-facing uses such as call and chat answering and fraud screening follow.

  • Only in systems that meet the contract's security rules. Defense contracts often point to NIST SP 800-171, and consumer AI tools are generally not authorized for controlled data, so check before staff paste anything in.

  • Errors and invented answers, privacy and confidentiality concerns, and bias. Review of outputs by a person and clear data rules reduce these risks.

  • Teams usually start with one repetitive process, test it on a small scale and keep staff approving results. They add further uses after the first one works.

Related

Keep reading

Final step

Pick a time. Let's talk.

You leave knowing which processes to automate first and what each one costs you today, whether we work together or not.

You can keep paying for manual work, or find out this week exactly what it costs you.

What happens on the call

  1. Before

    You answer 3 quick questions when you book, so we come prepared.

  2. On the call

    We find the manual work that costs you most and put a number on it, live.

  3. Decide

    An honest read on whether we're the right fit. If we're not, you'll hear it on the call.

Once you book, we look at your site and tools before the call, so the 30 minutes go to your numbers, not introductions.

Prefer to write first? Email us directly: contact@nexumautomations.com

30 minutes · Video call · Free