Powered by AI
Everything you need for processing
Invoices. Orders. Correspondence.
inSTREAM provides an off-the-self AI platform driven by best-practice, offering:
- inSTREAM Global AP - everything you need for accounts payable & invoice management
- inSTREAM Global SOP - everything you need for incoming purchase order management
- inSTREAM Global CORRESPONDENCE - everything you need for email & paper post room correspondence, onboarding, categorisation & distribution
- inSTREAM Global CLAIMS - everything you need for claim emails & attachments management
- inSTREAM BESPOKE - everything you need for your unique document pain points for any department
- inSTREAM Global AP - everything you need for accounts payable & invoice management
- inSTREAM Global SOP - everything you need for incoming purchase order management
- inSTREAM Global CORRESPONDENCE - everything you need for email & paper post room correspondence, onboarding, categorisation & distribution
- inSTREAM Global CLAIMS - everything you need for claim emails & attachments management
- inSTREAM BESPOKE - everything you need for your unique document pain points for any department
Explore inSTREAM for your sector
Powered by AI. Driven by Machine Learning.
inSTREAM combines Artificial Intelligence (AI), Machine Learning (ML), Robotic Process Automation (RPA), Optical Character Recognition (OCR) / Intelligent Character Recognition (ICR), Natural Language Processing (NLP) and cognitive computing to deliver the best solution to address document pain points for global customers.
Crucially, inSTREAM’s Machine Learning algorithm means there is no need for template creation with every new supplier document format. However, inSTREAM is flexible enough to incorporate templates if required for tricky supplier formats that are challenging to AI to learn, but they are rarely needed.
Human-in-the-Loop
inSTREAM KDE CoPilot (Key Data Extraction Co Pilot) uses the latest machine learning technologies that are taught from huge volumes of AP documents. This enables inSTREAM to understand an incredibly wide range of document formats (invoices, orders etc.) which means it can auto-extract most of the information from the document page at firs pass. However, for any gaps, complexities with new formats, or exceptions, once through the document has passed through inSTREAM’s powerful Key Data Extraction (KDE Engine), documents are posted to a document queue, manned by our expert Human-in-the-loop operators (or your own staff – your choice), to check, fill gaps and bolster learning building confidence for future Straight-Through-Processing (STP).
Our Human-in-the-loop element is used to bolster learning for 3 reasons:
- Machine Learning backed by ‘Large Language Models’ (LLMs) although are amazingly proficient for a high percentage of documents, it can occaisionally miss things, or misunderstand information presented on the document page. Human-in-the-Loop teaches inSTREAM the nuances of new suppliers so the platform can lock-in learning for when it receives the next document.
- Some obscure invoice formats can confuse and defeat AI on occasion, whereas humans can work things out and teach our machines.
- We reinforce the generic machine learning by using the power of inSTREAM to fill in the blanks supplier by supplier. This gives inSTREAM very robust and specific teaching that applies very accurately to invoices, orders and other document types with high levels of data extraction accuracy (Up to 85%).
