Hivel Launches Gen AI ROI Measurement Feature to Help Enterprises Quantify AI's True Business Value

Delaware, USA - May 2025, Hivel's new "Copilot Adoption" feature, also referred to as AI Copilot Analytics, directly confronts a growing and complex business problem: the pervasive difficulty in demonstrating a clear return on investment for Generative AI tools.

This allows engineering organizations to turn AI adoption data into actionable insights, helping teams understand exactly how AI-powered coding tools impact productivity, code quality, and financial outcomes.

"Companies have invested heavily in AI coding tools, but they're still struggling to quantify whether these tools are actually paying off," said Sudheer Bandaru, CTO of Hivel. "With our new analytics feature, we give leaders the visibility they need to justify, optimize, and scale their AI initiatives with confidence."

Solving the Gen AI ROI Gap
While AI adoption continues to surge across engineering teams, most organizations lack the infrastructure to evaluate its impact beyond anecdotal wins.

Hivel's solution addresses this gap head-on by transforming engineering data into meaningful metrics across four core dimensions:

Key Capabilities of Hivel's Gen AI ROI Measurement

1. Quantify AI's ROI with Precision
Hivel tracks metrics like time saved, improved code quality, and review turnaround-then translates these into financial outcomes that stakeholders can understand. The system delivers presentation-ready reports to help leaders justify AI spending with clarity and evidence.

2. Turn AI Adoption Metrics into Actionable Insights
By comparing AI-assisted and manual development efforts, Hivel pinpoints exactly where AI tools add value. These insights help teams optimize workflows, reduce friction, and improve decision-making in real time.

3. Optimize AI Adoption & Usage
Hivel identifies power users and underutilized features within AI tools. Teams can foster peer mentorship, roll out targeted training, and streamline onboarding to maximize adoption and value across the org.

4. Benchmark AI Efficiency Against Industry Peers
With benchmarking tools, organizations can compare their AI usage against top-performing industry players. This feature surfaces competitive insights, highlights best practices, and informs future AI strategy refinement.

Why It Matters

Hivel's new feature comes at a time when the conversation around AI in software development is shifting-from pure speed and automation toward long-term maintainability, code quality, and human impact. With engineering leaders under pressure to justify tech investments, this level of visibility is no longer a nice-to-have-it's essential.

Check here: https://www.hivel.ai/features/measure-gen-ai-roi

"Measuring gains is one thing. But what truly matters is avoiding hidden losses-burnout, skill erosion, and creeping technical debt," added Sudheer Bandaru. "Our platform helps companies focus not just on speed, but on sustainable, measurable value."

Hivel
7545 Perennial Street, Frisco, TX 75035, USA
hello@hivel.ai

Hivel is a next-generation software engineering analytics platform designed to help organizations streamline engineering workflows, measure what matters, and make data-driven decisions. By offering a single, unified reporting dashboard, Hivel brings together critical metrics like DORA and SPACE, AI usage, investment profiling, and more-all in one place.
Trusted by fast-scaling tech companies and forward-thinking engineering teams, Hivel empowers leaders, managers, and developers with the insights they need to drive continuous improvement, optimize performance, and align engineering outcomes with business goals.

Explore how Hivel helps organizations unlock the full potential of their AI investments:
👉 https://www.hivel.ai/schedule-a-demo

This release was published on openPR.