For sales leaders who want forecast accuracy without chasing reps.
Your day
Same tasks. Two ways to do them.
2-hour meeting. Reps read Salesforce aloud. You leave with "I'll follow up" and no real data.
Export to spreadsheet. Apply judgment. Present a number you don't fully trust. Board remembers last quarter.
CEO asks "why did Apex slip?" You didn't know it was slipping until it slipped.
Forecast off. 3 surprises. Pipeline review produced nothing actionable.
Skills for your role
/pipeline-reviewWeekly health check — 10 min instead of 2 hours
Deep dive →/forecastWeighted forecast with gap analysis — defend your number
Deep dive →/call-summaryReps' calls auto-captured — no more lost context
Deep dive →Daily Briefing (auto)autoMorning priorities — pipeline alerts before you ask
Competitive Intel (auto)autoKnow when competitors make moves — before your reps walk into calls
Example: Thursday forecast call
VP of Finance pings at 2pm: "Need the Q2 forecast for the board deck by EOD." You open Salesforce. 47 open deals, $2.1M pipeline. Half the close dates are from last month. You ping managers on Slack. Two respond by 4pm. You pull into Excel, send $1.4M as "likely" with a footnote. With /forecast:
/forecast Q2Pipeline from CRMSummary
Quota: $1,800,000
Weighted: $1,540,000 (86%)
Gap: $260,000
Commit ($1,280,000)
Meridian Health $180K Negotiation — contract in legal
DataStack $95K Negotiation — verbal yes, PO processing
CloudFirst $140K Proposal — champion confirmed budget
Risks
What changes
Forecast error: 30%+
Under 10% (teams report)
Pipeline review: 2-3 hours
10 minutes
Reps selling: 28% of their week
40%+ — admin handled automatically
Deal slip surprises
Risk flags 2 weeks early