Case Study: IBM Consulting automates federal eligibility determinations with CrewAI

IBM Automates Federal Eligibility with Agents

IBM Consulting, acting on behalf of a federal government agency, faced a challenge with aging legacy systems and an aging workforce, which made processing critical applicant eligibility determinations slow and costly. Their traditional robotic process automation (RPA) tools created gaps in speed, scalability, and control over business rules. To address this, they turned to CrewAI to modernize their approach.

The solution involved implementing CrewAI's multi-agent framework integrated with IBM's WatsonX. CrewAI enabled the architecture to blend autonomous agents with custom code and business rules, deploying agents to extract data from documents, summarize findings, and calculate eligibility. This resulted in faster, more efficient eligibility determinations than the legacy RPA system, reducing manual effort. The successful pilots led IBM Consulting to pursue enterprise licenses with federal agencies to scale this intelligent automation.

IBM Consulting