Government Acquisition Inc. (GAI) is a leading company specializing in government procurement services, managing complex vendor relationships and contract processes across multiple agencies. Like many enterprises, GAI had invested heavily in Robotic Process Automation (RPA) to streamline operations, with 20 completed automation projects and another 20 in their implementation backlog.

However, what started as a promising efficiency initiative had become a growing burden on their organization.

Despite significant investment in RPA technology, GAI faced mounting challenges that threatened their automation program's sustainability:

Escalating Costs & Maintenance Burden RPA implementation and licensing costs had become prohibitively expensive, while existing deployments required constant attention. When government systems changed interfaces or workflows—a frequent occurrence—RPA bots would fail, demanding immediate developer intervention to reconfigure scripts and rules.

Complexity Barriers Many high-value use cases remained unimplemented because they exceeded traditional RPA capabilities. Complex decision-making, exception handling, and adaptation to changing circumstances required sophisticated logic that rigid, rule-based automation couldn't deliver.

Integration & Compliance Challenges Working with numerous systems across multiple agencies and vendors, GAI's RPA solution struggled with seamless integration, often requiring custom connectors and workarounds. When government compliance requirements evolved, RPA bots needed complete reconfiguration, creating substantial operational disruptions.
The backlog of 20 unimplemented projects represented not just technical debt, but a significant business constraint limiting GAI's ability to scale effectively.

GAI partnered with Kamiwaza to replace their entire RPA portfolio with an intelligent, agentic AI approach using Kamiwaza's distributed AI orchestration solution.

AI-Driven Automation Architecture Kamiwaza replaced rigid, rule-based scripts with adaptive AI agents capable of understanding context and making informed decisions. The system implemented natural language processing to interpret unstructured data and developed learning capabilities that improved from exceptions rather than failing.

Dynamic Workflow Orchestration The new system created an orchestration layer coordinating multiple AI agents working together on complex processes, enabling workflows that adapt in real-time to changing conditions rather than following fixed paths.

Seamless System Integration Kamiwaza developed universal connectors interfacing with diverse government and commercial systems, utilizing natural language interfaces for systems lacking formal APIs and implementing context-aware data translation between different data models.

Key Transformations:

• Vendor Discount Optimization: AI agents now analyze complex incentive programs and automatically configure purchasing strategies, achieving 12% additional savings on procurement costs
• Sales Campaign Automation: Sophisticated, personalized multi-touch campaigns improved response rates by 37% while reducing campaign launch time from weeks to days
• Contract Processing: AI-driven contract management reduced processing time by 68% while improving compliance accuracy from 92% to 99.2%

The transition from RPA to Kamiwaza's agentic AI delivered transformative results:

Complete Automation Coverage All 40 automation use cases (20 deployed and 20 backlogged) were successfully implemented with AI agents, providing 100% coverage of their automation roadmap.

Dramatic Cost & Performance Improvements

• 75% reduction in total cost of ownership compared to RPA
• 68% reduction in processing time across automated workflows
• 92% decrease in process exceptions requiring human intervention
• 99.2% compliance accuracy for government contracting processes

Enhanced Organizational Agility The AI system's ability to quickly implement new automation use cases without extensive development cycles transformed GAI's operational responsiveness, while continuous learning capabilities ensure ongoing improvement without additional investment.

Strategic Impact GAI's transformation demonstrates that AI-driven automation represents a fundamental evolution beyond traditional RPA, creating an intelligent automation layer that understands context, makes decisions, learns from experience, and adapts to change—delivering a foundation for ongoing operational evolution that will create value for years to come.