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GrowCFO Show

GrowCFO Show

Di: Kevin Appleby
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The GrowCFO Show is the podcast produced for finance leaders by finance leadersCopyright 2023 GrowCFO Limited Economia Finanza personale Gestione e leadership Management Ricerca del lavoro Successo personale
Episodi
  • #306 Feel Behind on AI? Where CFOs Should Start Gavin McGahey CTO & Co-Founder at AccountsIQ

    #306 Feel Behind on AI? Where CFOs Should Start Gavin McGahey CTO & Co-Founder at AccountsIQ
    Oct 20 2026

    As finance teams face mounting pressure to adopt AI, CFOs need a practical starting point – not a rushed, organization-wide rollout. Gavin McGahey, CTO & Co-Founder at AccountsIQ, examines the gap between finance professionals’ interest in AI and their need for confidence in its accuracy, security, and business value. The episode references a survey of more than 1,000 senior finance professionals and reports that 81% mostly or fully trust AI-driven outputs.

    McGahey recommends beginning with limited, measurable use cases, such as accounts payable automation and anomaly detection. He also stresses the importance of well-structured data, careful review of vendors’ data-protection practices, and human oversight of consequential actions. A deliberate approach can help finance leaders test AI’s potential while maintaining review and audit controls.

    Key topics covered:
    • Finance leaders see AI’s potential but need confidence in its accuracy, data handling, and verifiability.
    • Initial AI projects should be small and matched to a finance team’s readiness.
    • AP automation and anomaly detection offer practical starting points for saving time and flagging unusual transactions.
    • Well-structured data is essential for useful AI analysis; poor inputs can lead to convincing but incorrect results.
    • Focused AI agents can assist with finance workflows while people retain control over approvals and posting.
    • Finance teams should examine vendors’ data practices, security documentation, and audit trails before adopting AI tools.
    Links
    • Gavin McGahey on LinkedIn
    • Kevin Appleby on LinkedIn
    • GrowCFO Mentoring
    Timestamps:
    • 00:31 — Finance professionals see AI’s potential but feel pressure to adopt it quickly.
    • 04:11 — Questions to ask about AI solutions, including data use, transparency, autonomy, and traceability.
    • 05:40 — Why well-structured data matters when using AI tools for finance analysis.
    • 09:26 — Start small, choose carefully, and adopt AI at the organization’s own pace.
    • 11:17 — AP automation and anomaly detection as practical early use cases.
    • 20:21 — AI agents supporting finance workflows while users retain control.
    • 31:14 — Reviewing data-protection documentation and supplier practices.
    • 35:03 — Building on sound finance processes when introducing AI.
    Find out more about GrowCFO

    If you enjoyed this podcast, you can subscribe to the GrowCFO Show with your favorite podcast app. The GrowCFO show is listed in the Apple podcast directory, Spotify and many others. Why not subscribe there today? That way, you never miss an episode.

    GrowCFO is a great place to extend your professional network. Join GrowCFO as a free member today and participate in our regular networking events and webinars. Premium members can also access our extensive training center and CFO Digital Toolkit. You can enroll in our flagship Future CFO or Finance Leader programs here.

    You can find out more and join today at growcfo.net
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    33 min
  • #305 What CFOs Need to Know Before Scaling AI Bruce Mullan Managing Partner, AI Governance Partners

    #305 What CFOs Need to Know Before Scaling AI Bruce Mullan Managing Partner, AI Governance Partners
    Oct 13 2026
    As organizations scale AI, CFOs must balance faster, more efficient finance operations with cost control, reliable decision-making, data protection, and accountability. In this episode, the discussion frames AI governance not simply as a compliance checkpoint, but as a performance system—one that can help organizations adopt AI with confidence while supporting business value and innovation. Bruce Mullan, Managing Partner, AI Governance Partners describes how AI adoption in finance can progress from administrative assistance, to process automation, and eventually to automated decisions. Using invoice processing as an example, he explains how governance can be matched to risk: straightforward use cases can receive lighter review, while higher-risk applications warrant more scrutiny. He also emphasizes evaluating whether AI is the right solution in the first place. For CFOs, scaling AI also means understanding where employees are already using it, choosing tools appropriate to the task, protecting confidential information, and weighing the cost of AI against its value. The conversation highlights AI literacy, human oversight, and post-launch feedback as practical ways to monitor reliability, errors, cost, and unintended consequences – without rushing simply to catch up. Key topics covered: AI governance can be designed to enable performance and innovation, rather than operate only as a compliance gate.Finance teams can progress from AI-assisted administration to automated processes and, in some cases, automated decisions.Governance can be proportionate to risk, with lighter review for low-risk use cases and fuller assessment for higher-risk ones.CFOs need visibility into “shadow AI”- tools employees may already be using outside formal processes.AI literacy, human review, and feedback after deployment help teams assess accuracy, reliability, cost, and unintended effects.A measured, steady approach can be more effective than rushing into AI adoption out of fear of falling behind. Links Bruce Mullan on LinkedInKevin Appleby on LinkedInGrowCFO Mentoring Timestamps: 00:00 — Kevin Appleby introduces Bruce and frames AI governance as a performance system, not just a compliance system.12:16 — The discussion turns to AI governance as a way to support value and innovation while avoiding organizational bottlenecks.18:22 — Bruce outlines stages of AI use in finance, illustrated through invoice processing.23:43 — Risk-based review and asking whether AI is actually needed for a use case.27:00–30:20 — AI literacy, human oversight, feedback loops, and monitoring performance after deployment.34:35 — Advice for CFOs who feel behind: avoid panic and take a measured approach.37:06 — Shadow AI, employee use of public tools, and the challenge of protecting sensitive information.45:14–49:21 — AI costs, tool accuracy, and why confidential information should be handled cautiously. Find out more about GrowCFO If you enjoyed this podcast, you can subscribe to the GrowCFO Show with your favorite podcast app. The GrowCFO show is listed in the Apple podcast directory, Spotify and many others. Why not subscribe there today? That way, you never miss an episode. GrowCFO is a great place to extend your professional network. Join GrowCFO as a free member today and participate in our regular networking events and webinars. Premium members can also access our extensive training center and CFO Digital Toolkit. You can enroll in our flagship Future CFO or Finance Leader programs here. You can find out more and join today at growcfo.net
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    45 min
  • #304 Why Your Most Profitable Product Might Be Losing You Money Pauline Healey Founder, Logical BI

    #304 Why Your Most Profitable Product Might Be Losing You Money Pauline Healey Founder, Logical BI
    Oct 6 2026
    A product’s strong gross margin does not always translate into strong profit. When support, sales, customer service, and other indirect costs are left out of product-level analysis, a high-margin product can consume more resources than it generates. In this episode, Pauline Healey explains why businesses need to look beyond headline margins to understand the true cost of serving each product and customer. Pauline Healey, founder of Logical BI, discusses how her fractional CFO work combines finance with operational, supply-chain, and inventory expertise, particularly for manufacturing and engineering businesses. She explains that reliable cash-flow forecasting must account for the full operating cycle—from purchasing stock and managing production to delivery and customer payment. The conversation explores how businesses can improve profitability by investigating operational waste, checking that completed work is invoiced, and examining product costs more closely. Pauline and Kevin discuss how a product with an apparently attractive margin may still reduce overall profit if it drives unallocated costs such as customer support and additional sales effort. They also cover business systems, data consistency, and Pauline’s use of AI and her Profit Harmony Hub membership platform. Key topics covered: Pauline’s background in corporate finance and operations led her to build Logical BI around fractional CFO support for manufacturing and engineering businesses.Supply-chain complexity affects cash flow: forecasts need to account for inventory, supplier payments, production, delivery, and customer payment timing.Businesses should assess whether existing systems and plug-ins can meet their needs before making a costly move to an ERP system.A single source of truth helps teams avoid conflicting figures and focus on business decisions rather than reconciling inconsistent data.Looking for shop-floor waste and process gaps can uncover profit improvements; Pauline described a process loophole that left around £30,000 of completed work uninvoiced.Product profitability analysis should include indirect costs: a high-margin product may reduce overall profit if it requires substantial support, customer service, or sales resources. Links Pauline Healey on LinkedInKevin Appleby on LinkedInGrowCFO Mentoring Timestamps: 00:01 — Kevin introduces Pauline Healey and Logical BI.04:07 — Pauline describes Logical BI’s focus on manufacturing and engineering, and its broader operational support.06:13 — The discussion turns to supply-chain complexity and its effects on cash flow.16:29 — Pauline discusses evaluating existing systems and reducing reliance on disconnected spreadsheets.24:14 — Kevin and Pauline discuss finding waste and improving processes rather than defaulting to overhead cuts.25:00–26:42 — Pauline describes a missed-invoicing process gap and explains the revenue impact of unbilled work.28:15–30:42 — They explore how hidden support costs can make a seemingly high-margin product less profitable overall.31:00 — Pauline shares her perspective on AI use in business and finance.35:11 — Pauline introduces Profit Harmony Hub, her membership platform for business and finance insights. Find out more about GrowCFO If you enjoyed this podcast, you can subscribe to the GrowCFO Show with your favorite podcast app. The GrowCFO show is listed in the Apple podcast directory, Spotify and many others. Why not subscribe there today? That way, you never miss an episode. GrowCFO is a great place to extend your professional network. Join GrowCFO as a free member today and participate in our regular networking events and webinars. Premium members can also access our extensive training center and CFO Digital Toolkit. You can enroll in our flagship Future CFO or Finance Leader programs here. You can find out more and join today at growcfo.net
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    35 min
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