Your Sponsor Is Telling You to Do AI — But That Message’s Not Landing 

The Pressure Is Real
For CFOs in SMBs, the AI conversation is no longer theoretical. According to Accordion’s 2025 survey,

98% of private equity sponsors have told their CFOs to prioritise AI in the finance function.

 

Yet many CFOs admit they don’t know where to start — and that hesitation is creating a widening trust gap with sponsors. 

This isn’t just about “digital transformation.” It’s about whether finance leaders can step up as the guardians of value creation in a volatile market. 

Why CFOs Are Hesitating
Despite the urgency, adoption lags for three reasons: 

  • Unclear use cases: AI often feels like a tech buzzword rather than a finance lever. 
  • Fear of distraction: CFOs worry AI will consume bandwidth instead of solving real pain points. 
  • Uncertain ROI: Boards and sponsors demand hard numbers, not hype. 

Meanwhile, sponsors see the opportunity cost building up: slower closes, longer DSO, weaker forecasting accuracy — all eating into EBITDA and exit multiples. 

The Finance Paradox
Here’s the paradox CFOs face: 

  • AI alone won’t solve finance challenges — it needs structured prioritisation, governance, and ROI models. 
  • But without AI, you simply can’t meet sponsor expectations fast enough. 

Traditional consultancy-led approaches? They burn time and budget, delivering polished slides while sponsors keep asking:

“Where’s the value?” 

CFO leading the AI strategy

Our Solution: From Athena to Bia — With CFOs at the Centre
That’s why we built a faster, CFO-ready path: 

  1. Start with Athena (Prerequisite):
    In under 60 minutes, our free Athena Finance Readiness Assessment benchmarks your function’s AI maturity, identifies gaps, and produces a tailored Finance Success Map. It gives you a credible starting point for sponsor conversations. 
  2. Advance to Bia (10-Week Cohort Programme):
    After Athena, CFOs can join our Bia AI Strategy Programme: a 10-week sprint that blends: 

    • 20% finance team effort (decisions, numbers, validation), 
    • 20% our expertise (frameworks, risk management, credibility), 
    • 60% AI acceleration (data crunching, modelling, documentation). 

The result is a Finance AI Pack, that could include: 

  • ROI models for finance use cases (close acceleration, invoice-to-cash, forecasting), 
  • Risk frameworks sponsors can trust, 
  • A board-ready strategy that shows finance is leading from the front. 

Why Delay Is Riskier Than Action
Sponsors are clear: inaction isn’t conservative, it’s failure. Every quarter of delay means: 

  • Days lost in close cycles. 
  • Cash locked up in receivables. 
  • Forecasting errors that weaken credibility. 

Starting small — with practical finance use cases — shows leadership, creates value, and builds momentum for bigger moves.

 

Take the First Step Today 
👉 Begin with the Athena Finance Assessment — the essential first step to turn sponsor pressure into sponsor confidence. 

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