Manufacturers across the globe are looking to AI to drive business improvement within their AP functions. But three core themes stand out:

1. Inertia and Change Management
For some, the challenge of driving adoption among AP staff is more difficult than the integration of technology. For others, the journey towards AI doesn’t fully meet business needs, leaving them in a state of inertia. However, the impact of doing nothing comes at a huge cost, from wasted time and resources, high attrition rates, low productivity, inefficiency and lower profitability – not to mention losing out to competitors. So, how, when and why should we step into AI to combat these two states of being?

2. Lack of visibility and siloed systems
Disparate systems and siloed data make forecasting and consolidation a complex and manual process. This can have a huge impact on optimising cash flow and managing costs, particularly when several ERPs or business entities are involved. Too much time is spent manually inputting data into different systems to prepare monthly reports, making it vulnerable to human error. So, how can we leverage AI to improve visibility in systems of record and gain an accurate view of costs in real time?

3. Fighting AI-powered fraud
Generative AI brings with it a brand-new generation of invoice fraud. Criminals will be able to generate and send tens of millions of invoices directly to mailboxes, leaving finance departments vulnerable. The answer? To fight fire with fire and use AI as a defence against AI-powered invoice fraud by identifying anomalies and validating against PO data, the single source of truth.

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Cognitive, AI-based data capture for improved accuracy. Morton Salt saves 95% on its time spent per document.
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