Podcast
Five Steps to Unlock the Power of Gen AI in Finance
Generative artificial intelligence (Gen AI) and other AI technologies are disrupting how finance organizations operate while reinventing what’s possible. According to our recent analysis, Gen AI can yield a 42% reduction in finance function costs and a 48% staff productivity increase over five to seven years for a typical $10 billion company. That return on investment, however, depends on knowing how best to deploy AI in finance.
While there is tremendous excitement about Gen AI, there is also a lot of uncertainty about how to unlock its potential. Choosing the right approach is critical. Moving directly to use cases without first determining your enterprise AI opportunity and readiness will produce, at best, incremental improvement. To capture maximum value and deliver on ground-breaking potential, finance professionals must approach Gen AI both strategically and practically – separating hype from proven success.
Three types of Gen AI – and their use in finance today
As you consider Gen AI for your finance strategy and accounting processes, it is important to understand the three primary types and possible use cases to determine where and how to deploy AI technologies within your own organization.
| TYPES: | 1. Embedded Gen AI solutions | 2. Native Gen AI solutions | 3. Domain-specialized Gen AI solutions |
| Uses Gen AI functionality embedded in third-party platforms – typically offered by enterprise software providers such as Oracle, SAP, Microsoft, Salesforce, and other finance and accounting-focused solutions. Users can turn on embedded Gen AI capabilities and begin employing them for specific business needs. | Built by the organization to fulfill a particular purpose or use case. Requires an enterprise Gen AI platform on which the solution is built. Often functions as a digital assistant or integrated with an intelligent process automation solution to increase productivity, improve worker effectiveness, elevate employee/consumer experience, and/or enhance decision-making capabilities. | Foundation models offered by solution/service providers that specialize in a particular industry/domain and have access to domain expertise and a large knowledge base. Users subscribe to the model and use the service – either through an application programming interface integration or direct access into solution/service provider portals. We believe this is where finance will see the biggest impact from Gen AI. | |
| EXAMPLES IN ACTION: | Document reviews and summarization | Monthly/quarterly business unit performance commentary | Tax and ESG reporting |
| An investor relations (IR) team used Microsoft Copilot to read reports from multiple analysts and agencies and produce summaries of both individual narratives and findings across documents. This allows the IR team to scan more data sources to inform discussions of business unit leaders and corporate development teams without having to expand its staff. | A finance team created an application using Microsoft Azure Open AI Services to summarize actual versus forecasted performance and budgets for all values it tracks. Finance business partners now spend less time writing the commentary and have more time for discussion with business leaders about root causes and potential solutions. | While this type of specialized domain model is still developing, some solution/service providers will begin to have offerings available in the near future. Early offerings are likely to include large language models for specialized tax (e.g., sales and use) and environmental, social and governance (ESG) reporting. |
Act decisively and move swiftly
Those who take bold action can unlock breakthrough levels of operational excellence and business value – if they choose the right path. Architecting the future of finance begins with a critical, strategic view of Gen AI readiness and opportunities. The good news is the steps for doing so are straightforward – and you can be on the journey to a successful AI strategy in just a few weeks.
Determining your AI opportunity, best-return use cases, and readiness will deliver tangible benefits and grow institutional knowledge, improving your organization’s execution and assessing what’s truly feasible. That’s how your finance organization can build momentum and accelerate the value potential of Gen AI.
Steps every finance executive should take now
- Educate and inform your executive team, and level-set expectations around Gen AI.
- Understand where the greatest opportunities exist for leveraging Gen AI across the function.
- Examine specific use cases – based on the opportunities identified – to understand how Gen AI could impact work.
- Determine your organization’s readiness to realize the benefits of Gen AI – assessing data quality and availability, skills, governance, and infrastructure.
- Develop a prioritized Gen AI road map and corresponding workplan for deployment.
Architect – and accelerate – your Gen AI future
The Hackett Group can help you explore and understand the potential for Gen AI as part of a comprehensive, intelligent digital operations strategy. Visit our website to learn more about our:
- Transformation services: Our consultants use our proprietary AI XPLR™ platform to architect your Gen AI journey – from strategy and business case to impact assessment, readiness, and road map.
- Executive Advisory membership programs: We guide and advise you to explore Gen AI opportunities, select providers, and pilot Gen AI solutions.
