forecasting

Weekly pipeline forecasting is automated by dispatching dedicated sub-agents per deal to pull Salesforce data via Glean, synthesize analyses, and update Notion dossiers. This orchestration handles 30-40 open deals with context isolation, producing auditable intelligence datasets.

Pipeline report generation produces branded HTML and PDF outputs linked to each deal dossier. The automated workflow pulls Salesforce data via Glean, updates Notion databases, and delivers formatted reports suitable for leadership review.

Per-deal analysis works by dispatching a dedicated sub-agent for each deal to maintain context isolation and scalable workload. The system coordinates these sub-agents to process 30-40 open deals during weekly pipeline forecast runs.

Bootstrap runs handle first-time setup for new deals, while weekly forecast runs diff against prior dossiers using separate lookback windows. Both update the Notion Pipeline Intelligence dataset and archive closed deals appropriately.

The forecasting workflow integrates with Glean to ingest Salesforce data for pipeline analysis. It reads deal information, synthesizes assessments, and updates Notion databases with robust error handling and logging throughout the data pipeline.

Pipeline forecast automation with per-deal sub-agents is designed for 30-40 open deals and requires both Glean and Notion integration. If data ingestion from Salesforce fails, robust error handling and logging capture issues, but manual intervention may be needed.