FIRESIDE CHAT: "What if you knew how dangerous your in-house AI experiment is to your brand, revenue, customers, and data?"
FIRESIDE CHAT:
"What if you knew how dangerous your in-house AI experiment is to your brand, revenue, customers, and data?"
Discussion Points for the Fireside Chat Agenda
1. AI Governance & Compliance Risks
Improper use of customer contracts in AI tools (e.g., putting customer data in Copilot = breach of customer agreements)
Unauthorized customer data use and privacy violations
LinkedIn automation and scraping compliance risks
Examples of cease-and-desist notices for data scraping violations
2. Brand & Revenue Impact
How uncontrolled AI experiments damage brand reputation
Revenue loss from failed AI initiatives
Impact on customer experience and data integrity
3. The "Don't Try This at Home" Problem
Why 98% of AI projects fail (companies don't know what they're doing)
Risks of attempting complex AI implementations without expertise
Special projects gone wrong (e.g., "hiring your nephew" to run LinkedIn campaigns)
4. Qualified Expert Assessment
Need for proper AI Readiness and Oversight assessments
Value of qualified experts vs. internal experiments
Data-driven assessment results as follow-up offer
5. Three Complementary Pillars
Michael: Lead generation and top-of-funnel activation
MK's angle: Account-based selling approach and understanding customer impact
Andrew's angle: AI governance, training, and executive education