Discover how Flybuys achieved rapid contact centre transformation through early Amazon Connect adoption using AI-powered capabilities and a disciplined Test, Learn, Iterate approach. Starting with a focused pilot, they deployed AI-driven features like intelligent routing, real-time sentiment analysis, and automated quality assurance. They progressed through Launch, Activate, and Consume phasescapturing baseline metrics, scaling through peer-led training, and continuously refining AI performance based on weekly feedback loops. The results: reduced AHT, improved CSAT, 100% AI-powered QA coverage, and measurable ROI. This demonstrates that early AI adoption delivers calculated, data-driven transformation.
What this session is about
Playbook
Editorial commentary · what to actually do about this on Monday
The concept
Disciplined Test-Learn-Iterate approach to Amazon Connect. Pilot → Launch → Activate → Consume phases. Weekly feedback loops. Intelligent routing, real-time sentiment, automated QA.
Why it matters
Method matters more than tools. The TLI discipline outperforms ad-hoc.
The hard parts
Discipline is the hard part. Most teams skip the "Learn" step under delivery pressure.
Playbook moves
(1) Block weekly learn sessions. Make them un-skippable. (2) Capture baseline metrics before any AI deployment. (3) Treat each phase as a checkpoint, not a milestone.
The surprise
100% AI-powered QA coverage is a sign of *process maturity*, not AI capability. The technology was already there; the change was the discipline to use it consistently. Most "we couldn't do AI QA" excuses are really "we don't have the process discipline."
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Independent editorial perspective — not an official AWS or speaker statement. Designed for executives evaluating what to brief their teams on next.
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