BOTTOM LINE UPFRONT
At Accordion’s recent AI Forum, CFOs agreed that AI is transforming finance – but impact only comes to those with strong data foundations and disciplined governance. Winning CFOs are already embedding AI into daily workflows, prioritizing the investments that move valuation, and maintaining an exit-ready finance function.
We recently hosted a group of private equity-backed CFOs for a full-day forum aimed at cutting through the AI noise – moving past the hype and getting clear on what practical adoption really looks like.
The group discussed how AI is reshaping the finance function and why CFOs are uniquely positioned to lead that transformation.
Here’s what we heard:
1. The role of the CFO is shifting
AI is accelerating a shift in the CFO mandate – from steward and reporter to value driver. There’s a growing focus on sequencing investments, quantifying returns, and grounding the equity story in credible data. Finance is moving from reactive to proactive, with roadmaps spanning close, consolidation, FP&A, technology, controls, and people.
2. Data readiness is the foundation
Meaningful ROI from AI starts with solid data – which means moving away from spreadsheets and workarounds toward more governed, reconcilable platforms that serve as a single source of truth across finance, CRM, project systems, and HRIS.
The measure is credibility over perfection; data needs to withstand buyer scrutiny. Automated ingestion, reconciliation dashboards, and board materials built from governed models are becoming essential.
3. Move fast on priorities
The smartest path forward isn’t waiting for flawless data or ideal infrastructure. It’s focusing on investments that directly influence valuation, simplify diligence, or sharpen the narrative. Ask yourself:
- Will it influence valuation?
- Will it make diligence easier?
- Can a minimum viable version of the solution be built in roughly 90 days?
The approach: start with quick wins, add structure and templates, then scale to fully governed models.
4. Embedding AI in finance operations
AI is moving from pilot projects to everyday workflows. High-volume, rules-based processes – like journal entries, reconciliations, close readiness, and variance analysis – are proving to be strong early candidates.
Examples include:
- Automated journal entries and reconciliations
- Intelligent invoice matching and payment forecasting
- Natural-language queries and narrative generation in FP&A
Success comes from integration and adoption, not just sophisticated tools.
5. ROI goes beyond cost savings
AI’s value extends far past headcount reduction or time savings. CFOs are focusing on:
- Working capital improvements (DSO/DPO/DIO)
- Revenue lift through better prioritization and retention insights
- Margin enhancement and system ROI
Data ROI and AI ROI are deeply connected; strong data unlocks AI’s value, and AI amplifies the return on strong data.
6. Culture, change management, and governance matter
Technology alone doesn’t drive impact. Adoption and organizational readiness do. Leading themes included:
- Making the CFO a visible champion of AI
- Communicating early and often
- Addressing fears around automation and job disruption
- Putting cross-functional AI “translators” in place
- Building governance around data quality, ethics, model accuracy, and transparency
Boards and PE sponsors are increasingly expecting clarity and controls in these areas.
7. Exit readiness and the value narrative
Exit readiness isn’t a stage; it’s a state of mind. AI and data play a central role in being prepared before a process begins.
This includes:
- Governed data with drill-through capabilities
- Board-level narratives grounded in accurate retention, margin, and working-capital metrics
- A quantified benefits ledger aligned to the roadmap
- The ability to act quickly when an opportunity appears
AI supports all of these by improving accuracy, speed, and confidence in the numbers.
The bottom line
AI is an accelerator for finance to become more strategic, predictive, and value-creating. But real impact requires investment in data, governance, culture, and clear intent.
So here’s the CFO mandate: start early, choose high-impact use cases, integrate AI into daily workflows, measure value consistently, and lead the transformation with conviction.
The Accordion advantage
Accordion Intelligence transforms your data and tech capabilities into decision-making engines. We leverage leading-edge AI-enabled technology, future-thinking analytical techniques, and the most advanced machine learning so you can use your data and tech to make the kinds of decisions that drive outsized value creation.