Pharma has never had more ways to reach healthcare professionals. There is more content, more channels, more data, and more technology than ever before. Yet despite these investments, customer experience among HCPs is declining. The industry’s challenge is no longer access to customers. It is earning their attention in a world where influence begins long before engagement takes place.
At the Indegene Digital Summit 2026, leaders shared early findings from Indegene’s proprietary CXQ research and explored why traditional engagement models are becoming less effective. The discussion revealed a widening gap between how pharma engages and how HCPs now discover information, form opinions, and make decisions. The result is an emerging attention crisis that demands a fundamentally different approach to customer experience.
More Engagement Is Not Creating Better Experiences
The industry’s customer experience challenge is becoming increasingly visible. According to the CXQ research discussed during the session, HCP experience scores continue to decline even as pharmaceutical companies invest more heavily in engagement activities, content, and digital channels. More interactions are occurring, but those interactions are not necessarily delivering greater value. The implications are significant. HCPs who have an excellent experience with a pharmaceutical company are substantially more likely to prescribe, start, switch, or adjust treatment. Experience is not a soft metric. It is directly connected to business outcomes and patient impact.
Leadership implication: The problem is no longer engagement volume. The challenge is creating experiences that HCPs find genuinely useful, relevant, and timely.
AI Has Moved Influence To Before Engagement
One of the most important themes from the session was the realization that influence now occurs much earlier in the decision-making process. Historically, pharma assumed that influence happened after engagement through marketing, sales, or medical interactions. Today, HCPs increasingly arrive informed before those interactions begin. They use AI-enabled tools to discover information more quickly, patients bring their own research into consultations, and decision-making often starts before pharma enters the conversation. This changes the dynamics of engagement entirely. Organizations can no longer assume they control when influence begins or where it happens. Attention has not disappeared; it has moved to new environments and new moments within the customer journey.
Leadership implication: Future engagement strategies must recognize that discovery, evaluation, and decision-making increasingly take place outside traditional pharma-controlled channels.
Efficiency Alone Does Not Create Relevance
The discussion also highlighted a risk many organizations face in their AI transformation efforts. While AI is generating meaningful gains in content production, process automation, and operational efficiency, those gains do not automatically translate into better customer experiences.
The session drew a parallel with the website boom of the 2010s. Pharma invested heavily in digital properties, yet many failed because they were designed around what organizations wanted to deliver rather than what physicians actually needed. A similar pattern could emerge with AI if organizations focus exclusively on internal efficiency without improving relevance for customers.
Leading organizations are already taking a different approach. Rather than simply automating existing processes, they are using AI to improve outcomes, increase relevance, and create more meaningful experiences.
Leadership implication: AI initiatives should be evaluated not only on efficiency gains but also on their ability to improve customer relevance and customer experience
Five Shifts Are Defining the Next HCP Engagement Model
The session outlined five strategic shifts that leaders should consider as they redesign their engagement models for an AI-enabled future.
The first is moving from campaigns to decision journeys. Rather than focusing on pushing messages into the market, organizations need to understand the outcomes customers are trying to achieve and support the decisions that shape those outcomes.
The second is moving from volume to authority. Simply creating more content is no longer enough. The organizations that earn attention will be those recognized as trusted authorities capable of providing meaningful depth and expertise.
The third is moving from channel optimization to omni-experience optimization. Customers experience engagement as a connected journey, not as a collection of separate channels. Success increasingly depends on managing that experience consistently across touchpoints.
The fourth is moving from cost reduction to customer relevance. While efficiency remains important, differentiation will come from understanding customer needs and delivering value in the moments that matter most.
The fifth is moving from tools to operating models. AI is not simply another technology implementation. It requires organizations to rethink how teams work, how decisions are made, and how customer experiences are designed.
Leadership implication: Competitive advantage will increasingly belong to organizations that redesign their operating models around customer decision-making rather than campaign execution.
What Leaders Should Do Next
The session concluded with three practical priorities for leaders navigating the attention crisis. The first is to design for discoverability. Organizations must ensure their information can be found where customers are actually seeking answers. Being present in the right information environments is becoming just as important as creating high-quality content.
The second is to build authority. In a crowded information ecosystem, trust and credibility become key differentiators. Customers need confidence that the information they receive is accurate, clear, and reliable.
The third is to design for experience. The organizations that succeed will not simply automate existing engagement models. They will rethink how customers make decisions and create experiences that support those decisions more effectively.
Leadership implication: Discoverability, authority, and experience are becoming foundational pillars of successful pharma customer engagement strategies.
Closing Reflection
The attention crisis is not a result of customers disengaging. It is the result of customer behavior evolving faster than traditional engagement models. As AI reshapes discovery, accelerates decision-making, and changes expectations, pharma must move beyond campaigns and channels toward experiences that are relevant, trusted, and seamlessly integrated into customer journeys. The organizations that adapt fastest will be the ones that earn attention, influence decisions, and create meaningful impact for both HCPs and patients.