On Demand Webinar

Turning AI into Results: What Your Organization Could Achieve Without the Software Bottlenecks

Learn Why AI Isn’t Speeding Up Your Software Delivery

(And What High-Performing Teams Are Doing Differently)

Most organizations are seeing faster coding with AI.
Very few are seeing faster delivery.

This session shows where AI actually breaks down across the delivery lifecycle, and how teams are fixing it to achieve measurable gains in speed, quality, and cost.

  • Real project metrics
  • Enterprise delivery environments
  • No theory, no demos, no hype

AI is speeding up developers. It’s not speeding up delivery.

If you’ve rolled out AI tools, you’ve likely seen:

  • Code gets written faster
  • Requirements still take too long
  • QA still finds issues late
  • Rework still slows down delivery

The bottleneck didn’t disappear. It just moved.

What this session will show you

  • Why AI-assisted coding doesn’t improve delivery timelines

  • Where the real constraints still exist in the SDLC

  • How teams are applying AI across the full lifecycle

  • What actually drives 5–10× improvements in delivery speed

  • Real metrics from teams using AI-driven workflows

Who this is for

  • CIOs, CTOs, VP Engineering
  • Teams actively investing in AI
  • Organizations under pressure to improve delivery speed
  • Teams dealing with modernization, integration, or scale challenges

Watch On Demand

You can now stream the full Tech-Talk recording anytime—no registration needed.

Recording Date: April 30, 2026

Webinar Runtime: 34 Minutes

Meet Your Host: Ray Carneiro

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Ray Carneiro is the Chief Technology Officer (CTO) at QAT Global, specializing in scalable IT solutions and technology strategy. With over 15 years of experience in cloud architecture, AI, DevOps, and software development, he helps organizations align technology with business goals to drive transformation, growth, and success. Connect with Ray on LinkedIn.