Knowledge & Document AI

DataWise builds organizational knowledge agents: conversational systems that give your staff free-language access to your organization’s own knowledge, grounded in your real content rather than the open internet. We have built and demonstrated them for a multi-site operations company and as a full operations agent living in WhatsApp, and we design document-AI pipelines that turn scanned business documents into structured decisions.

What is an organizational knowledge agent?#

It is a conversational system whose entire world is your organization’s content: procedures, manuals, deliverables, product materials, corpora. Staff ask in free language, in Hebrew or English, and get answers grounded in the actual documents, not model guesses about the internet. DataWise built and demonstrated exactly this for a multi-site operations company, on the company’s real content. The grounding matters: a knowledge agent’s value is not eloquence, it is that the answer traces back to your material. The same discipline extends to specialized corpora: DataWise designed a generative chatbot grounded in the complete writings of a major historic scholar, including an expert-evaluation methodology so domain authorities, not the developers, judge answer quality, with the approach explored in a working local build.

Can a knowledge agent live inside WhatsApp?#

Yes, and for field and sales teams that is often where it belongs. DataWise built a full operations agent living in WhatsApp, working in Hebrew voice notes and text: it knows what exists in the organization’s content library, finds the right materials, videos, manuals, deliverables, handles compression and format constraints automatically, and delivers them in-chat instantly. It interacts to clarify on demand, goes deeper when asked, and supports selling, marketing, and in-meeting moments in real time. No new app to install, no portal to remember: the knowledge arrives in the channel your people already use, at the moment they need it, including mid-meeting.

What about documents that are scans, not text?#

That is document AI, and it is decision-focused, not OCR-for-its-own-sake. DataWise designed an ML pipeline for a real-estate investment group that extracts structured features from scanned business documents and scores venture viability: a go/no-go recommendation plus expected-yield classification. The pattern generalizes: contracts, invoices, permits, and reports carry structured signals that models can extract and score, provided the target decision is defined first. We start from the decision the documents feed, then work backwards to the extraction.

Where can it run?#

• In your cloud with retrieval over your document stores.
• In WhatsApp, voice and text, for field, sales, and operations teams.
• Fully inside a closed network: DataWise built and demonstrated an isolated assistant with chat over organizational knowledge, retrieval over internal documents, deep-research workflows, and document and diagram generation, nothing leaving the network.
• On specialized corpora with expert-evaluation methodology, so domain authorities ratify quality.