Opportunity and workflow assessment
Identify the task, repetitive work, approved sources and human decision points before choosing tools.
AI & Intelligence
Move from an impressive demonstration to a useful scientific workflow.
A convincing output is not a dependable process. Start with the task, the information and the risk.
Scientific knowledge readiness
Document structure, metadata, provenance, versioning and access boundaries for controlled retrieval.
Retrieval-augmented generation
Bounded retrieval and drafting using approved knowledge. Retrieval does not guarantee correctness.
Task-specific evaluation
Representative cases assess relevance, factual consistency, citation validity, completeness and escalation.
Implementation and adoption
Integration, guidance, training and controlled iteration within agreed technical scope.
Scientific judgement
Verify claims and retain interpretation and release decisions with designated people.
Conceptual workflow, not clinical data or a performance claim.
Examples to evaluate: literature triage, extraction, scientific tagging, controlled adaptation and MI drafting support.
Agree data handling and permitted tools before use. No autonomous clinical decision system, proprietary platform or certification is claimed.