Finance AI solutions from Kanbina
Reduce spend | Increase productivity | Enhance resiliency
Kanbina delivers Finance Process and Decision Automation using the full-blown power of AI and Machine Learning.
Our smart API ready, SaaS AI platform connects client accounting and ERP systems to powerful Machine Learning models that use the client’s data, and not user keystrokes or their ERP's UI, to remove the manual work staff do in Finance Ops, Accounts Payables and Accounts Receivables.
ACCOUNTING INTELLIGENCE FOR
End-to-end AP automation: data extraction from invoices | matching PO & 3-way | ERP coding - vendor, department, subsidiary, GL code | fraud checks | amortisation | approvals
The diagram below displays Kanbina’s AP solution, which applies Machine Learning to hyperautomate the end-to-end Accounts Payable process. Data extraction, matching, controls, and sophisticated decisions such as amortization are automated by Kanbina.
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Kanbina’s AP software is an ideal way for customers to start their Finance AI journey. A proven AI platform that connects customer ERP systems to powerful Machine Learning models that enable touchless processing in Accounts Payables.
Kanbina AP Invoice data 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.
Data extraction can be done in any language, and as a native cloud solution, Kanbina AP is rapidly deployable via pre-built APIs for NetSuite, Unit4, Infor and Maconomy, meaning that ROI is near instantaneous. Pricing is highly competitive, based on a cost per invoice basis, and enables a client to test the water with AI in an easy-to-consume way.
The Kanbina AP platform, has been developed to move your data in to your ERP and along your ERP workflows; and deals with all your customisations.
We don’t mess with your ERP
AUTOMATE INVOICE EXCEPTIONS AT SCALE WITH FINANCE AI
We have seen many enterprise-scale clients who have spent years refining OCR templates to automate invoice processing, still having to invest significant manual effort to deal with disproportionately high exception queues.
In fact, it’s not uncommon to see clients using OCR to process invoice volumes in excess of 300,000 a year, with exception queues upwards of 100,000, each requiring manual intervention from AP staff.
Kanbina automates away these exception queues with Machine Learning models that can execute the decisions and actions normally undertaken by human effort.
If you’d like to learn more about how Kanbina AP handles large scale invoice processing,
Use the power of AI to match Bank Statements to ERP transactions, and to automate adjustments and journals
Reconciliations are a critical control between bank cash transactions andthose recorded in your ERP system. Kanbina Machine Learning Automation takes the pain out of the daily Bank Rec routine, freeing time, whilst fortifying your financial controls. The Cash Receipting and Bank Recs process become one with instant debtor, creditor, financing and cash flow reports. Machine Learning will also flag up anomalies in these reports so that actions are not missed.
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AI and Machine Learning will automate and continuously improve AR by recommending best actions in the credit control process
Kanbina will learn your customer behaviours from credit data, and improve the confidence of payments by recommending actions and analysing correspondence to adjust the credit control process steps, and also re-learn from any credit controller adjustments
Revenue Recognition for B2B contracts, made easy
AI Machine learning will automate the revenue recognition process by learning fair value
Kanbina will carry out the necessary data integration between contracts and finance ledgers, and manage the revenue recognition process so that obligation classifications and fair value adjustments are automated and compliant to accounting policies and standards such as IFRS 15 and ASC 606.
Deployments are rapid, remote and light touch - ROI is instantaneous.
AI Invoice Extraction is working at day 2 from project initiation.
Within a few weeks, your Kanbina AP machine learning models will be live, trained, and doing the mundane, data extraction, inputting and processing work that humans were doing before, freeing them up to do more value adding things.
Deployment, model build, and training can be executed remotely. There are no changes required to any of your accounting processes, financial systems or data.
Cost | Performance | Resilience
70% spend reduction
90% productivity gains
100% remote workforce flexibility
Pricing can be based on either a cost-per-transaction basis or contracted as AI-as-a-Service. Some clients will require more ML models depending on the level of manual interventions to remove in their business.