2024-09-23-Capgemini-人工智能生成业务服务_全球商业服务的未来(英)-2024_24页_849kb
报告摘要
AI-led Generative Business Services: The Future of Global Business Services (GBS)
Core Content
This report outlines the transformation of Global Business Services (GBS) from traditional cost-cutting operations to AI-led generative business services, emphasizing the need for strategic evolution, innovation, and talent development to remain competitive in the digital age.
Main Viewpoints
1. GBS Needs a Reboot
- The traditional GBS model, focused on cost reduction and operational efficiency, is no longer sufficient.
- GBS must shift from being a back-office function to a strategic innovation enabler.
- A significant majority (over 75%) of survey respondents agree that the GBS narrative needs to change.
2. Strategic Alignment with Leadership Priorities
- Current GBS strategies are misaligned with the priorities of boards and CEOs, which include revenue growth, margin improvement, and digital modernization.
- GBS must move beyond cost metrics and focus on outcomes like customer satisfaction, revenue growth, and process transformation.
- Security, privacy, and regulatory compliance are areas where GBS and C-level leadership are more aligned.
3. Talent Challenges and Skill Evolution
- GBS struggles to attract and retain top talent due to its perception as a low-value, transactional function.
- The future of GBS requires advanced skills in strategic thinking, innovation, and data analytics.
- Soft skills (communication, negotiation, etc.) are now essential alongside technical expertise.
- GBS should focus on upskilling and co-innovation with ecosystem partners rather than relying solely on labor arbitrage.
4. Embracing AI and Emerging Technologies
- Generative AI (GenAI), machine learning, and hybrid/multi-cloud solutions are central to the future of GBS.
- These technologies enable data-driven decision-making, predictive analytics, and dynamic process transformation.
- Traditional systems like ERP are becoming less relevant, and GBS must integrate with IT to create a seamless, intelligent enterprise.
5. Shift from Silos to Synergy
- The scope of GBS is evolving from functional silos (e.g., AP, AR, GL) to end-to-end processes and enterprise-wide data flows.
- This shift is expected to increase the proportion of GBS services focused on integrated operations and data analytics from 22% to 43% and 34%, respectively.
6. From Vendors to Visionaries
- Third-party providers are transforming from transactional vendors to ecosystem orchestrators.
- These orchestrators bring new skills, technologies, and capabilities to the table, integrating across the business to drive innovation and efficiency.
- Commercial models must shift from rigid, labor-based pricing to outcome-based, flexible, and value-driven engagements.
Key Information
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Survey Sample: 510 participants from various demographics.
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Top 3 Emerging Technologies:
- GenAI: Enables content, product, and service creation through machine learning.
- Machine Learning: Supports predictive analytics and automation for data-driven decision-making.
- Hybrid/Multi-Cloud Solutions: Offers flexibility, scalability, and resilience for IT infrastructure.
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Top 3 Future GBS KPIs:
- Customer Satisfaction (from 41% to 49%)
- Revenue Growth (from 30% to 39%)
- Process Transformation (from 25% to 36%)
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Data Transformation:
- Data is evolving from a reporting tool to a strategic asset that drives revenue, innovation, and decision-making.
- Real-time analytics and impartial large language models (LLMs) are critical for leveraging data effectively.
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Leadership Insight:
- GBS leaders must move to the C-level to drive transformation and strategic alignment.
- The report serves as a roadmap for GBS leaders to redefine their role and elevate the value of their organizations.
Conclusion
The future of GBS is AI-led, data-driven, and innovation-focused. It requires a radical shift in scope, success measures, talent management, and commercial models. Organizations that fail to adapt risk being disrupted, while those that embrace this transformation can become strategic game-changers. The time to act is now—disrupt or get disrupted.
Summary Table
| Category | Current Focus | Future Focus |
|---|---|---|
| Scope | Functional silos (AP, AR, GL) | End-to-end processes & data flows |
| Success Measures | KPIs (cost reduction, productivity) | KPOs (customer satisfaction, revenue, process transformation) |
| Talent | Labor arbitrage | Advanced skills, innovation, and soft skills |
| Technology | Legacy systems | GenAI, machine learning, hybrid/multi-cloud |
| Commercial Models | Transactional (FTE, T&M) | Outcome-based, flexible, and value-driven |
Call to Action
GBS leaders are urged to:
- Align GBS with enterprise-wide strategic goals.
- Invest in AI and data analytics to drive innovation.
- Focus on talent development and ecosystem collaboration.
- Transition from cost-cutting to value creation.
The report emphasizes that transforming GBS into a strategic, innovative powerhouse is not optional—it is essential for survival and growth in the digital era.
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