Exclusive Deal of the Week – Act Fast Become A Leader in AI for Finance

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AI is moving faster than ever, and if you’re not keeping up, you’re missing out!

If you’re wondering how to start using AI in your finance processes but feel overwhelmed, you’re not alone. That’s exactly why I created the AI Finance Club.

​The AI Finance Club is your shortcut to becoming an AI expert in finance.

We do all the hard work, so you don’t have to. We bring you exclusive insights that save you time and keep you ahead of the curve:

• Get the latest AI news that matters to finance - stay ahead of trends without being overwhelmed
• Access unbiased reviews of the best AI tools - know what works and how to use it effectively
• Use clear, step-by-step guides - start integrating AI into your daily finance tasks right away

But that’s not all!

You’ll also get access to monthly masterclasses with AI experts and my entire library of video courses the moment you join.

Now, here’s the part you don’t want to miss:

For the next 4 days, you can join the AI Finance Club with a massive 50% discount.

Use the discount code DISCOUNT500 at checkout.

​This offer ends on Thursday, and you won't see it again.

Don’t miss your chance to join a community of finance pros, CFOs, and CEOs who are already using AI to boost their careers and stay ahead of the curve.

Learn How to Implement AI in O2C and AR

Let's dive into the roadmap of practical steps on how to transform you order-to-cash and accounts receivable with AI.

​The steps of implementation of AI in O2C and AR:​

1. Assess Your Current Processes
2. Define Your AI Objectives
3. Choose the Right AI Solution
4. Run a Pilot Program
5. Scale AI Across Finance Operations
6. Continuous Optimization and Measurement

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#1: Assess Your Current Processes

Before implementing AI, you need to map out and evaluate your existing O2C and AR workflows. This step is crucial for identifying bottlenecks, inefficiencies, and opportunities for automation.

Key Areas to Assess:

Invoice Generation: How are invoices currently generated and sent to customers? Are there any delays or manual steps that could be automated?

Collections and Payment Follow-up: What’s your process for following up on overdue invoices? Are reminders and escalations handled manually?

Cash Application: How are payments currently reconciled against invoices? Is manual intervention required for every payment, or is there some level of automation?

Data Visibility and Forecasting: Do you have real-time visibility into outstanding receivables? How accurate is your cash flow forecasting? Are there any gaps in your data?

Outcome: The goal of this step is to pinpoint where manual tasks, delays, or errors occur and to identify areas where AI can help. For example, AI can automate matching payments to invoices if your team spends excessive time on invoice reconciliation.
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#2. Define Your AI Objectives

Once you’ve assessed your current processes, it’s time to define what you want AI to achieve. Setting clear, measurable goals will guide your AI implementation and ensure you’re focusing on areas with the highest impact.

Here are the common AI objectives

Reduce Days Sales Outstanding (DSO): This is one of the most common metrics in AR. AI can help by automating follow-up reminders and predicting when customers will pay, enabling you to act proactively.

Improve Cash Flow Forecasting: AI-driven predictive models can provide more accurate cash flow projections, allowing you to make better-informed financial decisions.

Automate Manual Tasks: Identify specific tasks you want to automate, such as sending invoices, reconciling payments, or following up on overdue accounts.

Increase Collections Efficiency: AI can prioritize collections efforts by identifying at-risk accounts earlier, ensuring your team spends time where it matters most.

Enhance Data Visibility: AI can provide real-time insights into AR performance, helping you make faster, more informed decisions.

Outcome: Establishing objectives will help you focus on the right AI solutions and measure their effectiveness. It’s important to align these goals with broader business priorities like cash flow optimization or reducing operational costs.

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Learn about steps 3-6 in my website article!

Train your team with me

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You see it everywhere: AI is coming to Finance.

But you and your team need to get ready for this.

I have already helped 100s of Finance and Business teams at international companies like Mercedes Benz, AWS, Chanel or KPMG but also smaller teams.

If you want my help to do a keynote or a workshop on AI for Finance, answer to this email by responding "I would like more info".

Looking forward to helping you and your team!
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Nicolas

P.S.: More than 100 finance leaders, CFOs, and Fractional CFOs have joined the AI Finance Club to become experts on AI. So what's holding you back? Start your dynamic journey of continuous career growth now and save 50% OFF!