AI document platforms like AntWorks learn. Accuracy comes with experience.

The first question I’m often asked by prospective clients, as a practitioner in the art of driving productivity in unstructured data processing is how accurate are your models?

Wrong question!
Start from your business case. The right questions are:

Question 1.
What productivity and cost savings can I drive with AI?

First, have your most experienced business practitioner configure the low code models after all, they only need nine hours of training over three days to do this with the AntWorks AI platform.

Second, don’t change your practices, take samples each month to check accuracy levels. Make any corrections necessary to the models. Like staff, models sometimes come across things they haven’t seen before. It’s called continuous learning.

Question 2.
How can I ensure data integrity?

First have your most experienced business practitioner configure the low-code models after all they only need 9 hours training over three days to be able to do thats with AntWorks AI platform.

Second, don’t change your practices, take samples each month to check accuracy levels. Make any corrections necessary to the models. Like staff they sometimes come across things they have not seen before. It’s called continuous learning.

Question 3.
Is there a pathway to straight through processing

If STP is your goal, train the models with rigorous Human-in-the-Loop (HITL) management and regular sampling. When you are seeing consistent accuracy at a level consistent with your risk appetite switch to STP.

The approach to STP does not need to be a “big bang” approach. If documents from a particular source or a particular document type are achieving the levels of accuracy you have set as the bar, switch those to STP first. This staggered approach reduces risk and builds management confidence.

Question 4.
What about GenAI?

In the enterprise, AI should be considered a broad church of tools. Traditional AI techniques, NLP, ML and business rules emulate how work colleagues identify relevant text and transform it for business use and the fields of your enterprise systems of record. Auditable and understandable. Gen AI offers a solution for many fields through predefined prompts, with an API bridge to your enterprise LLM of choice.

In short: your enterprise AI platform for document processing should have all of these tools, with easy configuration and appropriate access controls to the models. AntWorks AI document platform meets these requirements.

The UI should also allow freeform search and where desired interrogation and summarisation with your LLMs/SLMs of choice consistent always with enterprise policy on data sharing in and outside the firewall.