End-to-end AP automation of invoice entry and PO, vendor, department, subsidiary to ledger code matching
This is our core service, which enables clients to remove substantial proportions of their manual workload. Kanbina AP Invoice extraction is based on a highly sophisticated machine learning model so that manual entry is eliminated. The master data models, such as GL code matching are based on machine learning models built using your data. In this way the intelligence is highly targeted and specific to your accounting processes.
Use the power of AI to match Bank Statements to ERP transactions and classify breaches
Reconciliations are a critical control between bank cash transactions and those recorded in your ERP system. Differences due to in-transit, bank-initiated, data-errors, missing-entries, returned and transaction timings are balanced automatically using AI, and if differences exist, exception tasks are created. Kanbina Bank Recs will automate the process over 10’s or 100’s of bank accounts.
Find the risks in your cash flow on a real time basis and initiate tasks and workflow to address the issues
Our Bank Reconciliation service means accounts receivables data is highly accurate and can be used to identify debtors who are at risk of paying late or not at all. Powerful machine learning models will continuously understand behaviours and flag up where your cash flow is at risk and initiate your ERP workflow. Your cash flows, and customer relationships will be enhanced as a result.
Revenue Growth using all your customer data
Connect ERP and CRM data, without data engineering projects to drive sales tasks and revenues
This AI service will learn from your finance and customer relationship data to identify the best customer and customers to approach for revenue growth in real time. ‘Best’ will mean ‘high potential for cashflow’. Machine learning will take place daily, orchestrated by our AI platform and the results used to drive sales tasks, and marketing.
Results from day 2
AI Invoice Extraction is working at day 2 in week 1 of an implementation. There is then a further week to build machine learning models with your ERP data. Deployment, model build and training can be executed remotely. There are no changes required to any of your accounting processes, financial systems or data.
Costs, Performance and Resilience
70% cost reduction, 90% productivity and a Social Distance policy
Pricing can be based on either a cost-per-invoice basis or contracted as AI-as-a-Service. Some clients will require additional ML models depending on the level of manual interventions to remove in their business.