In the fast-evolving pharmaceutical landscape, even a small improvement in field sales performance can significantly impact topline growth. We recently partnered with a leading pharma company to tackle a critical challenge: boosting the productivity of their field sales team while improving overall business outcomes.
In the number of doctor visits per sales associate
In business performance (sales over expected baseline)
These results were the outcome of a focused, four-month journey to make their data AI-ready, apply intelligent automation, and build a system that would support better decision-making on the ground.
Before jumping to AI models and insights, we focused on the basics—data integration and quality. The company had data spread across multiple systems: CRM, sales, market research, and finance.
With the data foundation ready, we focused on tailoring our AI agents for the pharma sales use-case. Our Data Analysis and Insight Agents were fine-tuned to track and surface the most impactful insights.
We worked closely with area managers and business leaders to roll out the new tools with key capabilities for different stakeholders.
The final month focused on adoption, feedback, and impact analysis. We closely tracked usage patterns, engagement levels, and changes in key KPIs.
| Agent Type | Role |
|---|---|
| Data Integration Agent | Unified CRM, Sales, Market Research & Finance data |
| Data Cleaning Agent | Ensured accuracy, completeness, and freshness |
| Data Monitoring Agent | Continuously checked for anomalies and sync issues |
| Data Analysis Agent | Processed patterns in performance and engagement |
| Insight Agent | Delivered actionable insights to managers and leadership |
These agents didn't just make data usable—they made it actionable. Sales leaders no longer had to dig through reports or wait for quarterly reviews. They had real-time visibility and could take corrective actions faster than ever.
Sales teams felt more supported, not monitored—because feedback was constructive, timely, and grounded in data
Managers spent less time gathering data and more time coaching
Leaders could steer strategy based on ground-level signals, not lagging indicators
Improving sales force productivity in pharma isn't just about adding more tools—it's about building an intelligent layer that simplifies, guides, and empowers. With the right data foundation and targeted AI application, even modest improvements in activity and focus can create tangible business growth.
If you're navigating similar challenges in your sales organization, we'd love to explore how our AI-driven approach can help.
Discover how our AI-powered approach can boost your sales team's productivity and performance.