GovernmentCase Study

Arizona DCS: GenAI Cuts Casework Admin Time by 58%, Saves 4,200 Staff Hours Annually

Arizona DCS: GenAI Cuts Casework Admin Time by 58%, Saves 4,200 Staff Hours Annually

·9 min read
Arizona Department of Child SafetyGovernment & Public Sector · Child WelfareState agency · Frontline caseworkers statewide

Key People & Companies

Arizona Department of Child Safety

Frank Sweeney

Frank Sweeney

Chief Information Officer at Arizona Department of Child Safety

SOLVE AI

Arizona Department of Child Safety · Internal

TachyonGPT

Neudesic · Internal

Steven Hintze

Steven Hintze

Chief Data Privacy Officer at Arizona Department of Child Safety

Azure OpenAI

Microsoft · LLM

IBM Consulting

consulting partner for GenAI implementation

Guardian

Arizona Department of Child Safety · Internal

+ 4 more entities in the full study

Key Results

  • Reduced policy records removal time by 58%, surfacing prior case patterns with GenAI while maintaining human oversight, according to the NASCIO award documentation.
  • Saved caseworkers approximately 17 minutes per call report, reducing documentation burden by over 2,800 hours annually through AI-augmented call summaries.
  • Achieved a 40% productivity gain across teams, with data retrieval becoming 40% more efficient. As CIO Frank Sweeney told stakeholders, 'Data retrieval has become 40% more efficient, allowing staff to access critical information quickly and enhance their decision-making processes.'
  • + 5 more results inside

IBM Consulting team helped us implement key Microsoft gen AI solutions that have significantly improved the efficiency of caseworkers, enabling them to focus on what really matters—helping families.

Frank Sweeney, Chief Information Officer at Arizona Department of Child Safety

Sign in to unlock the full case study

Get the complete analysis, all results, expert quotes, and entity profiles — free.