- In pharma, agent means the field representative, not an AI agent: the person who calls on prescribers and accounts.
- H2O Driverless AI builds opportunity scoring and next-best-action models from your own CRM, call and territory data, with reason codes on every score.
- Activity logging and note sentiment cut the manual CRM entry that keeps adoption low and forecasts unreliable.
- No rep is rated on these scores without a manager reviewing the result first.
Give reps back the time they lose to the CRM
In pharma, agent means the field representative, the person who connects your company with the healthcare professionals who prescribe. Every call, meeting, email and sample request is supposed to reach the CRM, and much of it arrives late, partial or not at all.
That gap costs you twice. Reps lose selling time to data entry, and managers coach from a pipeline view they do not fully trust. Managers also have more reps and accounts than they can review by hand.
How pharma field force performance works
Step 1: Capture activity without extra typing
Calls, meetings, emails and texts are matched to accounts and contacts, and each interaction becomes a structured record. Natural language processing turns free text call notes into topics, and sentiment analysis flags notes that suggest a relationship is cooling.
Step 2: Score opportunities and relationships
H2O Driverless AI trains classification and regression models on past opportunities and outcomes. Automatic feature engineering builds signals such as call frequency, time since last contact, account tier and engagement trend.
Step 3: Suggest a next best action for review
Each open opportunity gets a score, reason codes and a suggested next step, such as a follow up call or a medical information request. The rep sees the suggestion, the manager sees where to coach.
Step 4: Document and monitor
H2O Driverless AI writes AutoDoc model documentation while the model trains, and explainable AI reason codes show what drove each score.
Coaching stays with the manager
No rep is rated on these scores without a manager reviewing the result. The models give managers a prioritized list of opportunities and the reasons behind each score. The coaching, the judgment and the conversation with the rep stay with the manager.