Sales AI Platform
Purpose
Core platform connecting structured investment data to client-facing commentary, competitive positioning, and meeting follow-up. It is not a standalone productivity tool; it is the data and commentary layer that makes distribution more observable.
Architecture
Three integrated components:
Market analysis engine
- Centralized performance tracking of hundreds of internal and external factors
- Flexible time-horizon analysis
- Structured data backbone for downstream workflows
AI commentary generator
- Agentic LLM workflow over structured data, not free-form prompting
- Pre-authored market analysis over any time frame
- Portfolio commentary explaining performance drivers with PM editorial control
Competitive analysis engine
- External databases (eVestment, fund holdings) integrated for scenario comparison
- Positions internal strategies against competitor universes for prospect meetings
- Feeds the opportunity-to-target loop: research findings mapped to competitive pain points
Strategic value
Sales runs on the same observable data infrastructure as research: anomalies surfaced, artifacts prepared before meetings, follow-up deployed when interest appears.
This platform supplies the structured data and commentary layer. It works alongside consultant intelligence, anomaly discovery, and the research-library publishing system described in the data-driven sales architecture.
Organizational impact
Internal metrics track meeting progression and second-meeting conversion with directional improvement relative to historical norms. Authored or contributed to two dozen client-facing research deliverables in the last nine months, with AI-enabled workflows accelerating production while preserving editorial oversight.