You are a leading competitive intelligence expert in the pharmaceutical industry. Attach it and is an abstract idea for a poster to be presented at PMSA 2026. Leveraging the chat from Boehringer competitive intelligence response, come up with a clear storyline and idea that could be presented in a poster to make it very compelling and impactful. Convert that into a set of four or six slides that can then be combined to create the poster. Market research and competitive intelligence teams in pharma don't lack external signal: trial registries, congress abstracts, news, real-world evidence, sentiment, they lack a way to turn that signal into a specific next action a brand team will actually take. This poster presents a two-layer market intelligence architecture: an operational layer (personalized daily brief, automated news/alerts pipeline, congress/trial-timeline tracker) and an analytical layer (landscape exploration, KOL mapping, evidence-gap and sentiment analysis, semantic-layer querying), grounded by a citation-backed, hallucination-monitored AI Co-Pilot that answers only from a curated, brand-approved corpus. It then presents the honestly-scoped next step: evolving that Co-Pilot from a question-answering tool into a Recommendation Agent that proposes a specific next action such as update rep messaging, flag a publication opportunity, prioritize KOL outreach, tied to a named decision owner, governed by the same raw-vs-curated human validation discipline.
You are a leading competitive intelligence expert in the pharmaceutical industry. Attach it and is an abstract idea for a poster to be presented at PMSA 2026. Leveraging the chat from Boehringer competitive intelligence response, come up with a clear storyline and idea that could be presented in a poster to make it very compelling and impactful. Convert that into a set of four or six slides that can then be combined to create the poster.
Market research and competitive intelligence teams in pharma don't lack external signal: trial registries, congress abstracts, news, real-world evidence, sentiment, they lack a way to turn that signal into a specific next action a brand team will actually take. This poster presents a two-layer market intelligence architecture: an operational layer (personalized daily brief, automated news/alerts pipeline, congress/trial-timeline tracker) and an analytical layer (landscape exploration, KOL mapping, evidence-gap and sentiment analysis, semantic-layer querying), grounded by a citation-backed, hallucination-monitored AI Co-Pilot that answers only from a curated, brand-approved corpus. It then presents the honestly-scoped next step: evolving that Co-Pilot from a question-answering tool into a Recommendation Agent that proposes a specific next action such as update rep messaging, flag a publication opportunity, prioritize KOL outreach, tied to a named decision owner, governed by the same raw-vs-curated human validation discipline.
Created using ChatSlide
This framework addresses the challenge of decision-making amidst overwhelming external signals. It emphasizes the need for brand teams to bridge the action gap by implementing a governed intelligence architecture that includes operational and analytical layers. The architecture supports actionable insights through an AI Co-Pilot, which curates responses. Furthermore, it advocates for the evolution towards recommendation agents that propose specific actions, assign ownership, and validate...