Technology is accelerating whatever commercial systems already exist. The organizations that outperform will not necessarily have the best AI, but rather the ability to adapt their commercial selling model as markets, customers, and evidence evolve.
Pharmaceutical companies have spent the past decade expanding digital channels, deepening customer understanding, and integrating advanced technology into commercial operations. New AI functionalities are now promising another leap forward, offering teams faster access to relevant information and timely support at critical stages in the workflow.
As AI becomes embedded into commercial selling workflows, representatives need confidence in when to trust AI, when to challenge it, and how to balance recommendations with clinical judgement and compliance obligations.
The immediate opportunity lies in organizations ensuring they have a clear sales model, skilled managers, and sustained reinforcement to fully leverage new AI-enabled capabilities within current in-house platforms and new ones as investment is made in them.
Technology that drives deeper AI-enabled customer insight matters only when representatives and managers can interpret it, exercise sound judgement, and act decisively. For this reason, we see high-performing companies moving toward formalizing a live Commercial Command Center, placing the CRM at its heart, and optimizing how sales representatives and managers partner with it.
AI is changing internal workflows, but it is also changing customer expectations. Healthcare professionals increasingly expect interactions that are timely, relevant, and connected across channels. Commercial capability therefore becomes as much about orchestrating meaningful experiences as it is about delivering individual conversations.
Confidence is built in the human moment
The HCP adoption path from awareness to trial and routine adoption unfolds gradually. Healthcare professionals become more assured as questions are answered, uncertainty is addressed, and evidence is related to the realities of clinical practice.
Marketing, medical, access, and digital engagement all contribute to that journey. For many specialist and innovative medicines, however, a well-conducted conversation remains pivotal.
Representatives must appreciate the circumstances, listen carefully, and respond appropriately. They should recognize when an exchange calls for further evidence, an alternative perspective, or input from another colleague. AI can equip them for these situations. The person leading the discussion still determines its quality.
The true value of AI is not faster decisions. It is better decisions, made consistently, transparently, and with greater confidence.
Selling Excellence provides the foundation
Selling Excellence is usually treated as a training initiative or capability framework. Its true purpose is to establish a commercial system that links strategic intent with everyday behavior.
A robust model guides how representatives plan, add value, progress relationships, fulfil commitments, and evaluate outcomes. It also gives managers a shared basis for field observation and coaching. Teams know what good practice looks like, while leaders have a tangible means of embedding it.
That clarity becomes increasingly important as AI advances. Digital tools can bring key information into view and suggest courses of action, but their recommendations have limited worth if leaders have not specified what the technology should help teams do. Without agreed expectations, fragmented ways of working may become entrenched and amplified.
High-performing organizations increasingly view capability as dynamic, requiring continuous evaluation, benchmarking, reinforcement, and adaptation as customer expectations, evidence, and AI capabilities evolve.
Managers turn learning into performance
New behaviors take hold through application, reflection, feedback, and reinforcement. First Line Sales Managers make that cycle part of daily activity. The manager can be the multiplier behind lasting change. In a recent Gallup poll, 79% of employees reported frequent AI use when managers actively supported it, compared with 46% when they did not.
Each observation or coaching discussion offers an opportunity to sharpen judgment. A capable manager encourages a representative to examine what happened, consider its significance, and identify a suitable adjustment. In a study on Manager Effect, 70% of the variance in team engagement is associated with the manager. Over time, exchanges between managers and sales representatives have the potential to strengthen both individual performance and the wider selling culture.
Managers bring the selling model to life in the field. They need the expertise, capacity, and resources to develop their teams and move beyond a narrow emphasis on activity inspection. If support fades after the formal program ends, unfamiliar techniques may remain theoretical and early progress can quickly disappear.
Adult learning principles underline this point. Development is most likely to alter behavior when it feels pertinent, can be used immediately, and is rooted in real-world challenges. Practice gives the model meaning; coaching makes it habitual.
AI can create more space for judgment
One of AI’s most useful functions is removing friction from commercial selling processes. Before a customer meeting, a representative should review account history, previous commitments, approved content, stakeholder developments, and possible barriers. AI-enabled tools can synthesize this material and highlight the details that deserve attention. The future lies in the latest AI-enabled functionalities that can proactively identify the real-time customer blockage and a solution to help the customer move forward. The role of the representative will always be to nurture the emotional connection and customer relationship needed to solve the problem.
Reducing the time spent searching for and assembling information leaves more scope to interpret the situation, anticipate needs, prepare for a productive discussion, and invest time in the customer relationship. Afterward, technology can aid accurate follow-through and preserve insights for future interactions.
Judgment and accountability remain essential. A recommendation may arrive at the right point yet prove unsuitable in context. A summary may overlook crucial nuance. Representatives must be confident enough to challenge AI-generated outputs, while managers foster the critical thinking required to apply them responsibly.
As organizations move beyond generative AI towards increasingly autonomous AI agents capable of coordinating workflows, the need for strong governance, capability, and human judgment becomes even more important.
The CRM can become a Commercial Command Center
Rather than viewing CRM as a repository, leading organizations are beginning to create connected commercial operating systems that bring together customer intelligence, market insights, content, field execution,and AI-driven recommendations within a single decision environment.
CRMs can evolve from a system of record into a Commercial Command Center. Customer intelligence, account context, performance indicators, and AI-enabled assistance can converge in an environment designed for informed decision-making.
Representatives can use it for account planning, pre-call preparation, in-call relevance, and post-call follow-through. Managers could draw on a broader evidence base to identify effective behaviors, variations in execution, and priorities for coaching. European leaders, meanwhile, could obtain a common view of proficiency and performance.
The Command Center should build on the selling and coaching models already in place. Constructing the technical layer in isolation risks hardwiring existing inconsistencies at scale. Behavioural standards, defined responsibilities, and thoughtful adoption must advance alongside the platform.
The next generation of Commercial Command Centers will combine customer signals with behavioral signals on how teams prepare, coach, collaborate, and execute to identify where capability development will have the greatest commercial impact.
Commercial selling excellence needs all three
People bring empathy, curiosity, accountability, and discernment. Selling Excellence sets the parameters for how teams plan, engage customers, create value, and learn from experience. The Commercial Command Center connects disparate inputs and shortens the distance between insight and action.
The Coaching Framework explains how capability improves through Observe, Explore, Challenge, Enable, and Reinforce, while the Commercial Command Center can provide evidence to help focus the coaching conversation.
AI can surface the signal. Selling Excellence can guide the response. People determine what the healthcare professional needs in that moment.
Converting individual insight into organizational knowledge
Uniting these elements allows lessons from customer engagement to travel further through the business.
Field insights can shape subsequent interactions. Coaching themes can expose recurring skills gaps. Trends in execution can direct leadership attention and influence future training. That knowledge can then be retained institutionally and made accessible to the wider team, rather than being lost when experienced individuals switch roles or leave the company.
Success hinges on active participation. Representatives must capture meaningful information, made easier with new voice download methods; managers must uphold good practice; and leaders must respond to the patterns that appear. A learning culture materializes when those signals lead people to act differently.
Capability will define commercial success
Commercial selling transformation has concentrated on adding channels and improving coordination. The new selling culture is about enhancing the customer conversations those channels are intended to support. AI raises the stakes because it can affect decisions throughout the workflow.
Bringing AI together with Selling Excellence, manager-led coaching, and applied learning gives organizations a practical way to turn intelligence into purposeful action. Representatives can approach key interactions with greater clarity, managers can make coaching more informed, and leaders can elevate standards across markets.
Competitive advantage will depend on the connection between AI technology and human expertise. Organizations that embed that relationship into daily work will be best placed to realize AI’s potential through more relevant customer engagement and stronger commercial performance.
AI will amplify the impact of commercial selling. Organizations that invest only in technology will improve efficiency. Those that invest equally in capability, coaching, governance, and decision quality will redefine commercial selling and its impact on performance.
Source:
https://www.gallup.com/workplace/712895/leaders-improve-employee-engagement-company-culture.aspx?
The Prescient Launch Excellence Report 2026
