Our expert panel discussed on the revolutionary impact of AI in finance and corporate performance management. This candid conversation features Carl Yost, Vincent Valentine, Daniel Hopson, and Randy Werder as they explore how artificial intelligence is fundamentally changing the way CFOs and finance executives approach planning, forecasting, and decision-making.
We dive deep into the practical realities of AI implementation, moving beyond the buzzwords to discuss real-world strategies, challenges, and opportunities. From understanding executive mindset shifts to navigating the evolution from Excel-based processes to AI-enhanced workflows, this discussion provides actionable insights for finance leaders at every stage of their AI journey.
Recorded at the premier OneStream user conference, this podcast captures the urgency and excitement surrounding AI adoption in finance, featuring real client stories, implementation strategies, and candid advice from industry experts who are actively guiding organizations through this transformation.
Key Discussion Topics:
Executive AI Interest:
- 75% of CFOs now prioritizing AI discussions (from Splash 2025 keynote)
- Fundamental shift in executive engagement with technology
- Genuine curiosity driving attendance at AI events and conferences
- Executives seeking practical knowledge and implementation strategies
AI vs Traditional Performance Management:
- Moving beyond "Excel in my cold dead hands" mentality
- Evolution from driver-based planning to AI-enhanced forecasting
- The critical role of change management in AI adoption
- Education requirements for leaders to craft AI messaging
Two Categories of AI in Finance:
1. Sensible AI (Platform-Based):
- OneStream's existing predictive analytics capabilities
- Number-based analysis and forecasting improvements
- Platform-native AI integration within existing workflows
2. Large Language Models:
- ChatGPT-style conversational AI applications
- OneStream's emerging agent-based technologies
- Natural language interfaces for financial data
From Driver-Based Planning to AI:
- Driver-based planning as essential foundation for AI readiness
- Understanding business connectivity between operational and financial metrics
- Moving beyond "same as last year plus 2%" approaches
- Building models before implementing AI solutions
Practical Implementation Strategy:
Crawl, Walk, Run Approach:
- Start with small wins in specific business areas or product lines
- Identify biggest problems and apply AI to targeted solutions
- Build on initial successes rather than attempting complete transformation
- Focus on incremental improvements leading to significant change
Platform-First Philosophy:
- AI implementation within OneStream application layer
- Leveraging existing data stores and workflows
- Avoiding external AI solutions separate from core processes
- Using OneStream's extensibility for AI integration
Cycle Time Revolution:
- Moving from monthly forecasting to on-demand analysis
- Responding to real-world events (elections, tariffs, geopolitical changes) immediately
- Building "muscle memory" for rapid forecasting capabilities
- Enabling scenario planning beyond traditional cycles
Client Maturity Evolution:
- Eight-year OneStream journey case study
- Clients advancing from basic implementation to AI readiness
- Mature conversations focusing on model training and optimization
- "Earning the right" to examine AI process transformation
Walmart Case Study:
- Requirement to defend any process NOT using AI
- Assumption that all operations should leverage AI capabilities
- Challenging traditional operational components
- Setting new industry standards for AI adoption
Implementation Readiness Assessment:
- Do you understand your business model and metrics?
- Are you still struggling with basic forecasting processes?
- Have you moved beyond Excel-based planning?
- Is your data foundation ready for AI enhancement?
Black Diamond's Advisory Role:
- Moving from words to numbers in client discussions
- Creating practical roadmaps beyond buzzword discussions
- Taking stewardship responsibility for client AI transformation
- Launching AI education book and resources
Key Takeaways:
- AI is not a magic wand - foundational work required first
- Start somewhere but don't wait - action required now
- Focus on solving real business problems, not implementing technology
- Education and change management are critical success factors
- Partners must lead AI transformation, not just implement technology
Warning Signs:
- "If you don't have an AI plan now, you might be too late"
- Three-year timeline thinking means missing the opportunity
- Stalling on AI while competitors advance
- Talking about AI without creating actionable roadmaps
Perfect for:
- CFOs and finance executives evaluating AI strategies
- Finance professionals seeking practical AI implementation guidance
- Organizations using OneStream considering AI enhancement
- Change management leaders driving technology transformation
- Anyone interested in the future of corporate performance management
Transform your finance function from traditional forecasting to AI-enhanced decision making with practical guidance from Black Diamond's expert panel.
