How Florida APS Leveraged Artificial Intelligence Tools to Transform Intake Hotline
 

By Robert "Tito" Anderson, Retired State Director, Florida Adult Protective Services
 

January 2026

When vulnerable adults and children are at risk, every second counts. The Florida Department of Children and Families (DCF) Abuse Hotline serves as the first line of defense, fielding thousands of reports of suspected abuse, neglect, or exploitation every month. The hotline receives reports for both child welfare and adult protective services (APS). Historically, prioritizing these reports to determine which needed immediate review was a manual, time-consuming process that strained staff resources and risked delays in responding to the most urgent cases.

Florida decided to change that by leveraging new technologies. With federal funding through the American Rescue Plan Act (ARPA), the state invested in an innovative solution: artificial intelligence (AI)-powered intake prioritization. This initiative is now a model for how states can use technology to strengthen adult and aging services and improve outcomes for vulnerable populations.

Florida integrated AI into its hotline workflow. The system uses natural language processing (NLP) and machine learning (ML) to analyze narrative intake data from web-based reports and prioritize cases requiring immediate human review. AI acts as a coach, not a player, supporting professional judgment rather than replacing it. This distinction was critical for building trust among staff and ensuring ethical implementation.

 

Implementation and Impact

The initiative began as part of Florida’s APS modernization strategy under the Serving Adults and Families Effectively (SAFE) program, but what makes the approach so compelling is its flexibility. AI-powered intake prioritization doesn’t require a standalone project. It can be initiated as part of an existing technology upgrade or programmatic improvement initiative. Whether your agency is modernizing case management systems, enhancing hotline operations, or improving reporting workflows, an AI tool can be integrated seamlessly into those efforts.

By aligning AI adoption with existing modernization priorities, APS programs can maximize available funding streams and avoid creating new budget silos. This approach ensures that innovation is sustainable and integrated into broader strategic goals.

Implementing AI in a high-stakes environment wasn’t without hurdles. Florida faced four key challenges:

1. Data Quality – Intake narratives vary widely in detail and clarity. Florida invested in data cleansing and structured formats to improve data quality and thereby AI accuracy.
2. Bias Mitigation – AI models can unintentionally perpetuate bias. Florida worked with experts to audit algorithms and ensure non-biased prioritization.
3. Explainability – Staff needed to understand why AI flagged a case as urgent. The system provides clear rationales tied to policy, building confidence in its recommendations.
4. Integration – Embedding AI into existing workflows required careful planning and collaboration between DCF, the vendor, and frontline staff.

Florida addressed these challenges through transparent communication, iterative testing, and stakeholder engagement, proving that thoughtful implementation is key to success.

The results speak for themselves:
 

• 80% success rate in correctly prioritizing urgent cases when compared to past similar cases decisions.
• Faster response times, ensuring critical cases are prioritized and receive immediate attention. Preliminary analysis has found case time reduced by 35% from historical efforts.
• Improved efficiency, reducing staff burden and freeing time for direct client engagement.
• Enhanced quality assurance, with AI providing rationale for prioritization based on policy.

Since implementation, hotline staff report feeling more supported and less overwhelmed. One supervisor noted that the AI tool has “given us back time to focus on families rather than paperwork.” Additionally, the system’s ability to provide clear rationales for prioritization has strengthened compliance and accountability across the board.

 

Replicating Florida's Success 

Florida’s experience offers a roadmap for other states:

• Start small with a pilot to validate assumptions and build confidence.
• Invest in data preparation – clean data is the foundation of effective AI.
• Maintain human oversight to ensure ethical and accurate decision-making.
• Ensure transparency so staff understand how and why AI makes recommendations.
• Plan for continuous improvement, updating models as policies and needs evolve.

Funding is always a concern when pursuing new initiatives, but across the country states have been creative in leveraging both federal and state sources. Through the Administration for Community Living’s Elder Justice Innovation Grants the University of Southern California (2022) is looking at algorithms to easily identify cases that should be referred to multidisciplinary teams, and the Administrative Office of the Arizona Supreme Court (2024) is developing automations to examine reports in guardianship cases. The alerts will help enhance proactive monitoring. When APS is located in State Units on Aging or Area Agencies on Aging, Older Americans Act elder abuse prevention funding may support improvements to intake lines that benefit all programs. As states move into budget planning, consider how technology upgrades and automations could support efficient intake. Working with partners, both present and future, can help leverage innovations.
 

The Future of AI in Adult and Aging Services

Florida’s success with AI-enhanced intake is just the beginning. Starting in Q1 2026, Florida is piloting a new AI coaching feature, offering intelligent prompts when engaging with the public. Combined with built-in translation and transcription capabilities for every APS worker, this new feature empowers staff to communicate effectively across languages and make informed decisions in the moment.

Imagine a caseworker interviewing a client who speaks a different language. This tool will not only translate in real time but also suggest supportive questions based on policy and risk indicators, helping staff uncover important details without delay.

When looking to the future with AI and APS, technology is an ally, not a replacement.

Why This Matters

Florida’s initiative is more than a technological upgrade. It represents a fundamental shift in how we safeguard vulnerable populations. At its core, this project demonstrates that innovation in human services isn’t about replacing people; it’s about amplifying their ability to act when every second counts. By integrating AI into its intake, Florida didn’t just speed up the process, we redefined what responsiveness looks like in a system where delays can mean the difference between safety and harm.

The preliminary analysis of impact is profound. The analysis estimates the time to complete an investigation has been reduced by 35%. Cases that once relied on manual review now receive prioritization within seconds, ensuring that urgent situations rise to the top immediately. This isn’t just operational efficiency; it’s life-saving efficiency. Movement to digital workflows and assessments have been essential.

Equally important is the cultural transformation. Florida is showing that technology can coexist with professional judgment, complementing rather than competing with human expertise. Through transparency, training, and trust building, we turned skepticism into confidence by demonstrating that ethical AI can strengthen accountability and reinforce policy-driven decision-making.

As technology moves forward, APS should consider how to leverage innovations to create efficiencies and support workers from intake to the field. Consider what innovative solutions you can share with other APS programs.

 

The APS Blog is updated regularly with posts from contributing authors and new publications from the APS TARC.

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