End-to-end AP automation of invoice
entry and PO, vendor, department,
subsidiary to ledger code matching

Our AI for AP platform 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.

Accounting 

Intelligence for AP

Kanbina AP is our flagship solution. Combining a core Machine Learning (ML) model with customer specific ML models, it delivers a step change in productivity and costs in Accounts Payables, one of the most time and resource intensive processes in Finance.

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. 

Remote Implementation

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.

Bank Reconciliations

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 and those 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. 

Accounts

Receivables

AI 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.

Costs, Performance 
and 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.