Intelligent Health.tech Issue 35 | Page 37

I N D U S T R Y I N S I G H T implementations show that 65 % of Agentic Call Reports identify actionable treatment barriers, enabling field teams and medical specialists to address clinical concerns with precision.

AS CLINICAL COMPLEXITY GROWS AND ACCESS TO HCPS BECOMES MORE RESTRICTED, COMPANIES NEED COMMERCIAL MODELS THAT ARE MORE RESPONSIVE

TO CUSTOMERS’ NEEDS.

Digital experiences built around immediate answers
Field teams build trusted human relationships, but they cannot be everywhere at once. Digital channels such as brand websites and email should extend the dialogue and enable more timely responses to questions, yet too often, physicians and patients must navigate websites or lengthy documents to find what they need.
Conversational AI transforms static digital experiences into real-time conversations. Using only medical, legal and regulatory( MLR)-approved content, agents provide trusted, compliant answers to natural language questions in real-time.
These interactions also generate valuable Commercial Evidence. Instead of showing only what users clicked, AI reveals what they asked, where they struggled and the information they could not find. Commercial teams can identify content gaps, uncover emerging treatment barriers and trigger timely follow-up from the field. Trusted by eight of the top 10 biopharmas, conversational AI drives a 7x lift in high-value actions.
Approved content that gives reviewers more time for higher-value work
Continuous engagement depends on a steady stream of timely, compliant content. Yet, with global pharma content expenditure reaching US $ 30 billion annually and 29 % more assets created year-over-year, content volume is outpacing human review capacity.
In an Agentic Commercial model, accelerating content speed-tomarket is essential. Agentic MLR acts as an end-to-end expert reviewer – understanding document context, mapping specific regulations and executing targeted agent reviews against approved labels, claim libraries and brand SOPs. This shifts human reviewers from line-by-line proofreading to high-impact work.
By accelerating content review while maintaining compliance, commercial teams can respond faster to customer questions across field and digital channels. This delivers a more cost-effective approval process, with content leaders anticipating 38 % of the MLR process to be AI-driven by 2028 and targeting a 70 %+ reduction in manual review labour.
Combining AI capabilities with human expertise
Agentic Commercial brings AI and commercial teams together within the same applications, following shared processes, governance and compliance requirements. By taking on repetitive tasks and analysing large volumes of data, agents give people more time to apply their scientific expertise and judgement, shape strategy and build trusted relationships.
Bringing field teams, digital engagement, approved content and AI together allows biopharmas to create a more connected and personalised experience across channels.
As therapies become more complex and access to HCPs more limited, Agentic Commercial can help teams engage customers with greater precision, support better-informed decisions and ultimately help patients access the right medicines sooner. �
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