AI for Sales
First 2027 scholarship call
AI for Sales
Use CRM evidence, predictive signals and AI assistants to make better sales decisions.
Developed under the new AI Act model · Continuous updates
Edition 2026
200 hours of applied learning
8 academic credits
25 lessons + 6 workshops
Digital campus
Verifiable certificate
550 USD one payment · or 2 × 275 USD (today and after 30 days)
What you'll learn
- Measure CRM data quality and prepare a history free of leakage and hidden bias.
- Score the pipeline with propensity signals anchored in real CRM history and validated against closed opportunities.
- Forecast with explicit assumptions, confidence ranges and measured error.
- Deploy conversational assistants that cite real records, not inventions, with escalation rules.
- Give managers decision support, not another dashboard, and measure the improvement.
- Apply legal limits to prospecting, calls and decisions about people, and govern systems in production.
- Apply the IntellCore AI Act Method™: classify the risk of an AI use case in your field and document it under the AI Act 2026.
Program curriculum
01 — Commercial data
- What AI is and how it reached sales
- Data quality in the CRM
- Signal selection
- Bias in historical data
- From the CRM to the analysis table: cut-off time and data leakage
02 — Scoring and forecasting
- Propensity signals: from history to score
- Validating the score against closed history
- Building the forecast with explicit assumptions
- Confidence and error: ranges and measured error
03 — Assistants
- Grounding in records: assistants that cite the CRM
- Evidence-based account and meeting preparation
- Call and objection support
- Escalation rules and assistant limits
04 — Sales leadership
- Review rituals: the pipeline meeting and the forecast review
- Coaching signals and their limits
- Decision support, not another dashboard
- Measuring improvement
05 — Prospecting and limits
- Prospecting agents: what they do and where they break
- Commercial communications: GDPR, ePrivacy, e-commerce law and calls
- Recording, transcription and voice: AI on calls
- AI in decisions about people: customers and sellers
06 — Go-live and final project
- Phased go-live: shadow, pilot and adoption
- Monitoring: drift, recalibration and retirement
- Governance of sales AI: inventory, owners and documentation
- Final project: pipeline scoring and forecast review
07 — IntellCore AI Act Method™ applied to your field
- The EU AI Act 2026: risk levels, prohibited practices and obligations
- Transparency, human oversight and documentation in your professional field
- Classifying and auditing a real AI use case step by step
- Your compliance file with the IntellCore AI Act Method™: from system records to the review plan
Practical application
- · Final project: a pipeline score validated against closed history and a forecast review with explicit assumptions, confidence range and measured error, built on a real CRM structure, with its limits, go-live plan and governance sheet, defended before a committee.
Practical project: Final project: a pipeline score validated against closed history and a forecast review with explicit assumptions, confidence range and measured error, built on a real CRM structure, with its limits, go-live plan and governance sheet, defended before a committee.
Who is this for?
- · Sales directors and managers
- · Revenue operations
- · Account executives
Requirements
- · Access to CRM data
- · No coding required
Meet your instructor
AI for Business
Chair, AI for Business
Use-case selection, data readiness, unit economics of inference and adoption management.
Teaches: AI for Business · AI Strategy
Edition 2026
What each week includes
Every week of the program follows the same structure.
- 01
Explainer video per lesson
- 02
Guided reading (6 h)
- 03
IntellCore Labs · ~90 min workshop with data
- 04
Verified real case
- 05
IntellCore Podcast
- 06
IntellCore Radar
- 07
Self-assessment
- 08
Practice and exam (70%, 3 attempts)
- 09
Extended practice (5 h)
- 10
IntellCore AI Act Method™ module applied to your field (30 h)
- 11
Applied final project (30 h)
- 12
6 modules × 23 h + IntellCore AI Act Method™ module 30 h + final assessment 2 h + final project 30 h = 200 h
- 13
Downloadable PDF summary
Verifiable certificate
200 hours · 8 academic credits
Unique verifiable code at intellcore.ai/verify
Student reviews
Reviews are published from verified students only, after the first cohort completes the program. We do not publish testimonials we cannot attribute.
