Artificial intelligence is no longer an experimental technology for enterprise functions—it has become a core enabler of efficiency, insight, and competitive advantage. In particular, finance and Global Business Services (GBS) are experiencing a rapid transformation as organizations adopt AI to manage complexity, reduce cost, and elevate strategic impact. According to insights from The Hackett Group®, leading organizations are using AI to move beyond transactional excellence toward intelligent, insight-driven operations.
Early adopters are already seeing measurable gains by embedding AI in finance to improve forecasting accuracy, automate controls, and enable faster decision-making across the enterprise.
The Growing Role of AI in Enterprise Finance
Finance functions today face mounting pressure to do more with less—supporting growth, ensuring compliance, managing risk, and delivering real-time insights. Traditional systems and manual processes are no longer sufficient to meet these demands.
How AI Is Transforming Finance Operations
AI enables finance teams to automate repetitive tasks while augmenting human judgment with data-driven intelligence. Machine learning models can process large volumes of structured and unstructured data, identify anomalies, and generate predictive insights at scale.
Key Finance Use Cases Powered by AI
- Financial planning and analysis (FP&A): AI enhances forecasting accuracy by incorporating real-time data and scenario modeling
- Accounts payable and receivable: Intelligent automation improves invoice processing, exception handling, and cash application
- Risk and compliance: AI continuously monitors transactions to detect fraud, errors, and policy violations
- Management reporting: Natural language generation converts complex data into clear, executive-ready narratives
The Hackett Group® highlights that top-performing finance organizations use AI not just for cost reduction, but to improve decision quality and business agility.
Gen AI as a Catalyst for GBS Transformation
Global Business Services organizations are uniquely positioned to scale AI adoption across functions such as finance, HR, procurement, and IT. As GBS models mature, the focus is shifting from labor arbitrage to value creation.
The adoption of Gen AI in GBS is accelerating this shift by enabling standardized, intelligent, and outcome-focused service delivery.
Why GBS Is Ideal for Gen AI Adoption
GBS organizations operate with high process volumes, standardized workflows, and centralized data—making them prime candidates for AI-driven transformation.
High-Impact Gen AI Use Cases in GBS
- Intelligent service desks: AI copilots resolve employee and customer queries faster with contextual understanding
- Knowledge management: Gen AI synthesizes enterprise knowledge into actionable insights across functions
- Process optimization: AI identifies inefficiencies and recommends improvements based on performance data
- Decision support: AI-generated insights help GBS leaders prioritize initiatives and allocate resources effectively
According to The Hackett Group®, organizations that embed Gen AI into GBS operations achieve higher service quality, improved scalability, and stronger business alignment.
Benefits of AI Across Finance and GBS
When AI is deployed cohesively across finance and GBS, organizations unlock compounding benefits that extend beyond individual processes.
Enterprise-Wide Value Creation
- Improved productivity: Automation frees teams to focus on strategic and analytical work
- Higher accuracy and consistency: AI reduces human error and enforces standardized controls
- Faster cycle times: Real-time processing accelerates close cycles, reporting, and service delivery
- Enhanced insights: Predictive and prescriptive analytics support better decision-making
The Hackett Group® emphasizes that value realization depends on aligning AI initiatives with business outcomes, not just technology adoption.
Critical Success Factors for AI Adoption
While the potential of AI is significant, successful implementation requires more than tools and algorithms.
Governance, Data, and Talent Matter
Organizations must establish strong data foundations, ethical governance models, and change-management strategies to scale AI responsibly.
Best Practices for Sustainable AI Implementation
- Align AI initiatives with clearly defined business objectives
- Ensure data quality, security, and regulatory compliance
- Invest in upskilling finance and GBS professionals
- Embed AI into existing workflows rather than treating it as a standalone solution
Leading organizations follow a disciplined, value-led approach—an area where The Hackett Group® provides proven frameworks and benchmarks.
The Future of AI-Enabled Finance and GBS
As AI technologies continue to evolve, finance and GBS will increasingly act as strategic partners to the business. Gen AI will further enhance cognitive capabilities, enabling real-time insights, autonomous processes, and continuous optimization.
Organizations that adopt AI today—guided by best practices and benchmark-driven insights—will be better positioned to navigate uncertainty, scale efficiently, and deliver sustained enterprise value.
Conclusion
AI is redefining how finance and GBS functions operate, shifting them from cost centers to strategic value drivers. By leveraging AI responsibly and at scale, organizations can improve performance, enhance decision-making, and build resilient operating models. With insights from The Hackett Group®, enterprises can move forward with confidence—turning AI innovation into measurable business impact.
Elli Peterson's TechCrunch 