2022-04-21-Gartner-Digital_Finance_Transformation_via_AI-Enabled_Outsourcing_15页_315kb

Gartner Predicts 2022: Digital Finance Transformation via AI-Enabled Outsourcing

CFOs should prioritize AI-enabled outsourcing through business process outsourcing (BPO) providers for back- and middle-office finance transformations.

Key Findings

• BPO providers leverage large-scale, diverse datasets to train robust AI models and deliver automation at lower costs than internal solutions.
• Scaling AI internally is complex, wastes resources, and detracts from value-driven front-office innovations.
• Citizen data scientists lack the skills to operationalize and maintain AI solutions.

Recommendations

1. Redirect internal efforts to evaluate BPO providers for end-to-end AI solutions.
2. Use cost savings to invest in internal AI projects enhancing competitive positioning.
3. Contract BPO providers for AI maintenance, allowing internal teams to focus on innovation.

Strategic Planning Assumptions

• By 2024, AI process outsourcing will grow from 6% to 40%.
• Without BPO partnerships, 50% of AI deployments will face scaling issues by 2024.
• By 2026, one-third of F&A BPO vendors will offer AI development and operationalization services.

Market Impact

• BPO providers gain advantages through economies of scale, enhanced AI accuracy, and customer ROI.
• Challenges include concerns over data privacy and IP ownership when contracting AI solutions.

Actionable Advice

• Prioritize vendors with demonstrated AI expertise and operationalization capabilities.
• Plan for AI operationalization early, weighing options like BPO partnerships versus internal/external hosting.

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