AI Automation for Pharmaceutical

Pharmaceutical operations run on documents — prescriptions and orders, batch and SOP records, label and artwork files, safety reports, and the submission packages assembled from all of them. Lanos Logic automates the handling of that estate: AI extraction that reads inbound documents and pulls structured data out of them, template-driven generation of the documents that go back out, routing and approval chains with sign-off recorded at each step, and synchronisation across the systems that hold the files, including SharePoint and internal APIs. The result is that a document arrives, is understood, triggers the right downstream actions, and lands in the right place with its approval history attached.

Content orchestration is the layer above that: keeping one approved version of a claim, a label, or a piece of clinical content consistent everywhere it appears, so a change approved once propagates rather than being re-typed into five systems. We build this with a vector database underneath, which indexes the document estate by meaning rather than filename. Someone can ask which documents cover a given indication, formulation, or market and get the right passages back with citations, even when none of those words appear literally in the file. That same retrieval layer is what grounds an AI assistant so its answers cite real source documents instead of improvising.

A US pharmaceutical client came to us with prescription processing that consumed most of a working week. We rebuilt it on AirTable, Make.com, PDF.co, and SharePoint with API integration into their existing stack: a 90% reduction in processing time, 47 hours returned every month, delivered in seven days. That engagement sat in commercial and prescriptions operations rather than R&D, and we are specific about the distinction for a reason — the extraction, assembly, approval-routing, and semantic retrieval patterns transfer directly to R&D document work, and we would rather show you the mechanism that produced a real result than claim a trial we have not run. Bring us the document workflow that is costing your team the most hours and we will map it on a free discovery call, quote a fixed price, and typically deliver in 2-6 weeks.