RFBD Monitoring Agent
Tracks reach, frequency, breadth, and depth against strategy and field plans. Part of the Pharma Commercial Analytics agent roster, grounded in QuaerisAI's certified semantic layer.
Get guided setupOne governed view of reach, frequency, breadth, and depth
The RFBD Monitoring Agent tracks how field execution is performing against strategy across the four dimensions commercial teams plan around: reach, frequency, breadth, and depth. Rather than four separate reports built on four different schedules, all four resolve through the same certified semantic layer and can be asked about together.
This means a brand team and a field operations team asking about depth for the same brand and cycle get the same certified answer, whether or not the underlying report has been formally published yet.
Benefits
This agent helps brand and field teams see the full RFBD picture without waiting for a consolidated report.
- Time efficiency: Replace manual RFBD compilation across systems with a governed, on-demand view.
- Consistent definitions: Reach, frequency, breadth, and depth are calculated the same way every time.
- Traceable answers: Every RFBD figure cites the activity and field plan data behind it.
- Governed access: Brand and field teams see the scope their role permits.
- Earlier signal: Concentration or stalled expansion surfaces mid-cycle.
- Consistent methodology: The same RFBD calculation applies across every brand and territory.
Problem addressed
Reach, frequency, breadth, and depth are usually reported separately, on different cadences, sometimes by different teams using slightly different definitions of each term. By the time a consolidated RFBD view exists, the cycle it describes may already be over, leaving little room to adjust field execution in response.
The RFBD Monitoring Agent replaces that fragmented, delayed reporting with a single governed view available throughout the cycle, so a stalled dimension like depth can be flagged while there is still time to respond.
What the agent does
- Tracks reach, frequency, breadth, and depth against certified definitions
- Compares current cycle performance against strategy and field plan targets
- Surfaces concentration or stalled expansion within a dimension
- Cites the source activity and field plan data behind every figure
- Enforces role-based access across brand and field teams
Why do this with AI
RFBD depends on consistent definitions applied across every territory and every rep, which is difficult to guarantee when different teams compile it manually on different schedules. An agent grounded in a certified semantic layer applies the same definition of each dimension everywhere, every time it is asked.
Instead of waiting for a quarterly RFBD report to know where execution stands, brand and field teams can ask mid-cycle and still have time to act on what they find.
Who this agent is for
- Reduce manual compilation of reach, frequency, breadth, and depth reporting
- Compare RFBD performance consistently across every brand and territory
- Catch stalled dimensions like depth concentration mid-cycle
- Align field execution decisions to a traceable, certified RFBD view
- Hold every territory to the same RFBD methodology
How it works
The agent resolves each question through the same governed pipeline as every other QuaerisAI agent: identity and permissions are checked first, the question is mapped to certified definitions, a governed query runs against the source data, and the result is returned with a full audit record attached.