USE CASES
Based on the 2024 SAP Concur CFO Insights survey, 51% of financial leaders are actively investing in AI, up from just 15% in August 2023. Despite this, 58% admit to limited knowledge of AI in finance, with only 4% claiming a strong understanding.
2024 SAP Concur CFO, Insights survey
We can analyse historical financial data, market trends, internal (micro)and external (macro) economic factors to create more accurate financial forecasts and budgeting models. This supports better long-term decision-making for improved financial outcomes.
Our AI models can predict cash inflows and outflows, enabling more effective liquidity management.
Our ML models help identify patterns in cash flow trends, helping optimise working capital and reduce cash flow risks.
We build AI-driven expense management tools that automatically categorise and monitor company expenses. This reduces manual processing, ensures compliance with company policies, and provides insights into cost-saving opportunities.
Our AI/ML algorithms can analyse transaction data in real-time to detect anomalies and flag potential instances of fraud, helping to mitigate risks and protect the organisation from financial crimes.
We help businesses leverage AI to analyse patterns in customer payments, predicting late payments and optimising accounts receivable processes. It can also automate running processes and prioritise collections based on customer behaviour.
We leverage AI/ML to analyse large datasets related to financial markets, economic indicators, and company performance to assist leaders in making informed investment decisions, such as M&A analysis or capital allocation.
Leveraging AI/ML, we simulate different financial scenarios based on variable market conditions. This enables a business to assess risks and opportunities in different economic and business situations, especially useful for stress-testing financial plans.
Our AI/ML solutions help businesses identify opportunities for tax savings by analysing complex tax regulations, transactions, and deductions. These tools can also help in ensuring compliance with tax laws, in Australia, and across different regions.
Leveraging ML, we can analyse spending patterns and operational data to identify inefficiencies in business operations. This enables the implementation of cost-saving measures and improves the overall efficiency of financial operations.
Our AI/ML solutions help evaluate supplier performance, predict price trends, and optimise procurement processes. A business can use these insights to negotiate better contracts, reduce procurement costs, and effectively manage supply chain risks.
We help organisations analyse sales patterns, customer behaviour, and market conditions to provide more accurate revenue forecasts. This supports planning for potential revenue fluctuations and aligning financial strategies accordingly.
AI models can assess customer creditworthiness by analysing historical payment data, financial statements, and market trends. This enables mitigation of credit risks and supports more informed lending or payment-term decisions.
We can help automate the reconciliation of financial transactions across multiple systems, reducing human errors and improving accuracy. This helps ensure that financial statements are consistent and reliable.
We can help businesses use AI to implement dynamic pricing strategies by analysing demand, competitor pricing, and market trends in real time. This helps optimise pricing strategies and maximise revenue based on market conditions.
We can help CFOs analyse large datasets from target companies, such as financial reports, contracts, and legal documents, streamlining the process of due diligence. This can help CFOs identify potential risks and opportunities faster.
Through AI-powered payroll systems, we help CFOs automate the payroll process by tracking employee work hours, tax deductions, and benefits in real-time. This reduces errors and ensures timely payroll processing, freeing CFOs from manual oversight.
We help CFOs implement compliance tools that continuously monitor changes in financial regulations and flag potential compliance risks. This ensures CFOs maintain regulatory compliance across multiple regions without manually tracking every update.
We can help predict supply chain disruptions and recommend inventory, procurement, and production planning adjustments. CFOs can use this to optimise supply chain costs and avoid financial losses due to unforeseen disruptions.
We can help segment customers based on profitability, identifying high-value customers and those with lower margins. This helps CFOs allocate resources more effectively, focusing on retaining and growing profitable customer relationships.
We can help automate aspects of the financial audit process by reviewing vast amounts of financial data for discrepancies or irregularities. This speeds up the audit process and allows CFOs to identify and address potential issues more efficiently.
AI/ML Solutions Disclaimer
Streamline operations and make smarter decisions with AI.
Netbrane Pty Ltd t/a addaxis.ai, 11-17 Swanson Ct, Belconnen, ACT 2617, Australia
ABN 75 146 614 584 . Copyright 2024 . Privacy Policy