What needs to be in place before AI actually works
Everyone wants AI, but not everyone is ready for it. In Episode 2 of our fireside chat series on AI in the contact center, CallTower CX and AI experts break down what AI readiness really means and what organizations need in place before getting started. This session focuses on the foundations that matter most, including data, process, ownership, and measurable business outcomes.
In this session, we’ll cover:
• What AI readiness actually means in practice
• Why clean, usable data is critical
• Where organizations tend to overestimate their readiness
• Why AI will not fix broken processes
• What first step to take before moving forward
Meet the Speakers:
Marsha Kagan
CX Marketing Manager, CallTower (Moderator)
Tim Bushell
Solutions Architect Manager, CallTower
Expertise in contact center architecture, AI feasibility, and real‑world deployment constraints
Alain LeBrasseur
Product Owner, CCaaS, CX & AI, CallTower
Focus on aligning business outcomes, product strategy, and platform capabilities
Léandre Guertin
Conversational AI Developer, CallTower
Deep experience in integrations, data readiness, testing, and AI behavior in production environments
Marsha Kagan
Marsha Kagan CX Marketing Manager, CallTower (Moderator)
Tim Bushell
Solutions Architect Manager, CallTower
Alain LeBrasseur
Product Owner, CCaaS, CX & AI, CallTower
Léandre Guertin
Conversational AI Developer, CallTower
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