Use Cases
Finance
HOW CAN AI ADD VALUE IN FINANCE?
As the nerve centre of most organisations, Finance has a deep-held role in ensuring financial health, allocating capital and safeguarding against risks. The potential of AI in Finance is often talked about in rather generic terms, which can set people’s nerves twitching. So let’s examine some of the practical applications of AI and how these can enhance your own Finance function.
80% of large enterprise finance teams
"By 2026, it's predicted that 80% of large enterprise finance teams will rely on internally managed and owned generative AI platforms trained with proprietary business data"
Gartner
INCREASING RELIANCE ON AI
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01
DATA-DRIVEN RESOURCE ALLOCATIONS FOR ACCURATE FINANCIAL PLANNING
Using generative AI, we can model historical data and current market trends in the same place to provide precise financial forecasts. Improving budgeting and cash flows across your organisation.
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02
RAPID AUTO-PROCESSING FOR ERROR-FREE TRANSACTIONS
With AI-driven automation tools, we can process and reconcile vast numbers of transactions in real-time. Removing the need for time-consuming manual reconciliations.
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03
PREDICTIVE RISK PROFILING FOR BETTER MITIGATION STRATEGIES
We can cleanse datasets and apply AI to predict potential risks in terms of financial impact. Leaving more scope to be proactive when it comes to safeguarding organisational assets.
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04
AUTOMATED COMPLIANCE UPDATES FOR EASIER REGULATORY REPORTING
With AI that continuously analyses internal data and external regulatory changes, we can provide a platform for automated compliance reporting. Saving time and reducing your exposure to fines.
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05
ADAPTIVE ANALYTICS FOR OPTIMISED INVESTMENT STRATEGIES
Our predictive AI models can analyse global market trends alongside risk levels to create investment recommendations using a vast amount of data. Optimising your decision-making for capital growth.
