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AI for Sales
AI for Sales
Use CRM evidence, predictive signals and AI assistants to make better commercial decisions.
Level
Intermediate
Duration
5 weeks
Lessons
18
Price
Price on request
What you'll learn
- Score pipeline with propensity signals grounded in actual CRM history.
- Forecast with explicit assumptions and confidence ranges.
- Deploy conversational assistants that cite real records, not invention.
- Give managers decision support instead of another dashboard.
Course curriculum
01 — Commercial data
- CRM data quality
- Signal selection
- Bias in historical data
02 — Scoring and forecasting
- Propensity signals
- Forecast construction
- Confidence and error
03 — Assistants
- Grounding in records
- Objection and call support
- Escalation rules
04 — Management
- Review rituals
- Coaching signals
- Measuring the lift
Practical application
- · Build a scoring view for a real pipeline and validate it against closed history.
- · Run one forecast review with explicit assumptions and measured error.
Practical project: A pipeline scoring and forecast review built on real CRM structure
Who is this for?
- · Sales leaders and managers
- · Revenue operations
- · Account executives
Requirements
- · Access to CRM data
- · No programming required
Meet your instructor
AI for Business
Instructor to be announced
Use-case selection, data readiness, unit economics of inference and adoption management.
The verified name, biography, professional experience and public profile for this chair are published once confirmed. INTELLCOREAI does not present unverified profiles as faculty.
Student reviews
Reviews are published from verified students only, after the first cohort completes the program. We do not publish testimonials we cannot attribute.
