After hitting the financial and payment services, the AI tidal wave is reaching the shores of other industries as artificial intelligence AI is now shaping both established actors and incumbents.
Leveraging AI-fueled applications have a multi-faceted impact. The top result is operational efficiency due to the capability of AI to fuel automation much further than the mere usage of robotic automation, with the consequence of better optimisation and increased cost reduction.
KAPTO aims to fully automate the end-to-end business processes rooted in document understanding like categorisation, matching concepts, and extracting and organising data to the deepest level. We aim to reach a point where no human intervention is ever required, finally curbing human labour from any process involving paperwork.
Achieving this goal with KAPTO does not require carrying on complex projects or tedious preparation. KAPTO leverages AI models that are already "ready to be used" or can be trained and put to work using a few train examples. For those reasons, KAPTO is exceptionally pliable, flexible, and ultimately very easy to adopt.
KAPTO can split and reshuffle documents into "packages" upon segment classification. For example, it can recognise within a flow of pages sent by the customer in a PDF file related to the claim adjustment process: car repairing invoices, request forms, ID cards, Hospital discharge letters, and ER reports, among others. It's a mail room, or more generically, a process initiator, in any case, a handy automation tool.
OCR is performing data extraction and humans too. Nevertheless, no one would say that a human and an optical character recognition software perform the same task. OCR is doing a great job in dumbly converting images into text, but it does not understand what he is"reading". It just recognises letters and words.
Well, KAPTO is proud to mimic the human way of reading a document achieving or exceeding, in the long run, human accuracy when performing thoughtful data extraction. This capability makes it possible to automate many tasks in the insurance industry entirely, from automating that cash-in process through broker financial reports to the automation of the work of the legal departments or making the transfer of pension funds a completely automated process. Borrowing a concept from the automotive industry, using KAPTO is like having autonomous drive capabilities within your operations.
Concept recognition is yet another cognitive capability that is no more solely human. KAPTO can recognise concepts and topics within a complex document frame just by exposing its AI engine to some meaningful cases. For example, we can train KAPTO to understand who won and lost by reading a court ruling or if a witness report is pro one of the parties or it's neutral.
We aim to reach a point where no human intervention is ever required, finally curbing human labour from any process involving paperwork.
Achieving this goal with KAPTO does not require carrying on complex projects or tedious preparation.
KAPTO leverages AI models that are already "ready to be used" or can be trained and put to work using a few train examples. For those reasons, KAPTO is exceptionally pliable, flexible, and ultimately very easy to adopt.
Let us show you what you are missing in your business. Join the AI revolution and start playing in the big leagues. Let's get together and go over real use cases, to see how machine learning can streamline your business and govern your bottom line.
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