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Medical Affairs AI · Governed by design
A governed AI operating system for Medical Affairs
Osiris Inc shifts Medical Affairs from reactive support to governed evidence intelligence — one evidence core powering inquiry response, literature intelligence, field insights, content and analytics, with every output source-grounded, logged and human-reviewed.
From reactive support to governed evidence intelligence
We replace scattered point tools and manual workflows with a single governed Medical Affairs AI core — an approved knowledge layer with cited, retrieval-augmented answers, prompt governance, audit trails and role-based access powering every workstream.
Eight funded workstreams sit on one backbone, so inquiry response, literature monitoring, field insights, content and analytics all draw from the same source-grounded, permissioned, and human-reviewed evidence.
Governed Medical Affairs AI Core
Approved repository · RAG with cited retrieval · prompt governance · audit trails · role-based access
What we do
Eight funded workstreams on one governed platform — across inquiry response, evidence intelligence, field insights, content, analytics, compliance and adoption.
Enterprise Medical Affairs AI Platform
The shared, governed control plane: approved knowledge repository, RAG orchestration, access controls and validation documentation.
Medical Information AI Assistant
Automates intake-to-draft — triage, duplicate detection, retrieval, response drafting and escalation — with expert approval preserved.
Scientific Literature Intelligence
Continuous monitoring of PubMed, congresses and competitors, turned into summarized, source-linked, leadership-ready alerts.
MSL Copilot & Field Insights
Pre- and post-call support plus insight extraction, aggregated into a searchable scientific intelligence network.
Medical Content Factory
A controlled production line that compresses content cycles from weeks to days — with mandatory human review as the release gate.
RWE & Publication Analytics
Surfaces publication gaps, emerging investigators and evidence themes as planning recommendations and heat maps.
Governance, Validation & Compliance
GxP assessment, validation protocols, hallucination testing, prompt governance and audit logging make regulated AI repeatable.
Training & Change Management
Role-based training, certification and leadership cadence move teams from experimentation to standardized use.
Why Osiris Inc
①
One platform, not point tools
A single governed evidence core powers every Medical Affairs workflow — reusable capability instead of disconnected AI experiments.
②
Compliance by design
Every generated output is source-grounded, permissioned, logged and routed through the right human-review path before it becomes standard work.
③
Measurable impact
A 50–70% reduction in inquiry drafting effort and content cycles cut from weeks to days — paired with governance evidence, not overclaimed ROI.
8
Funded AI workstreams
50–70%
Less inquiry drafting effort
Weeks→Days
Content creation cycle
18–24mo
Governed transformation
0–6 moFoundation
6–12 moPilot workflows
12–18 moScale operations
18–24 moExecutive intelligence
Scaled behind governance gates
Workflows can move fast, but regulated AI maturity depends on validation, auditability and role-based adoption. We scale only after platform and governance gates are in place.
See how it works →Latest insights
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