Why GenAI Isn’t Delivering the ROI You Hoped For–Yet

6 Reasons for Low ROI
Discover the 6 most common failure points for GenAI use in software engineering, along with proven strategies to capture real value.
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6 Reasons You’re Not Getting ROI From GenAI, Including…
...“Chaotic coding” is killing productivity
Instead of speeding things up, many teams are stuck in a loop of low-quality AI code, manual rework, and wasted time.
...There’s no playbook, and it shows
Without a shared framework for when, why, and how to use GenAI, developer adoption stays fragmented and success can’t scale.
...Leaders can’t improve what they’re not measuring
A shocking 82% of companies don’t track GenAI ROI with clear KPIs. If you can’t measure it, you can’t manage it. This paper explains how to get the right metrics in place, and what most teams miss.
Download the white paper to discover 6 common failure points with software engineering teams who are struggling to multiply productivity with GenAI.

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What’s unique about CodeTogether? It’s the only technology that understands your coding workflow, well before code is committed.
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