Data Collection and Analysis
Gather and analyze data on existing robotic process automation (RPA) processes and other automatable processes within the organization. This includes understanding current workflows, efficiency metrics, and performance benchmarks.
Outcome: A comprehensive understanding of current process landscapes and potential areas for Agentic AI integration.
Opportunity Identification
Identify potential opportunities where Agentic AI can replace or enhance existing RPA processes. Assess the alignment of these opportunities with strategic business goals and their feasibility in terms of data and infrastructure.
Outcome: A prioritized list of processes suitable for migration to Agentic AI, aligned with business strategy and capabilities.
Impact Analysis
Conduct a detailed impact analysis to evaluate how Agentic AI could transform identified processes. Consider factors such as efficiency gains, cost savings, and potential improvements in service delivery.
Outcome: Insights into the potential business impact of integrating Agentic AI, including qualitative and quantitative benefits.
ROI Estimation
Estimate the return on investment for migrating to Agentic AI by calculating potential cost savings, efficiency improvements, and long-term value creation compared to current RPA solutions.
Outcome: A clear ROI projection that supports decision-making on the strategic transition to Agentic AI, providing a foundation for future implementation planning.
