Get the full picture on your AI adoption and impact.

We'll show you exactly how AI is impacting your speed and code quality.

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AI Impact

Millions invested in AI. Is engineering shipping faster?

AI tools report usage. None report outcomes. Hivel connects your AI investment to delivery velocity, code quality, and accuracy, so every board meeting starts with a number, not a story.

From spend to outcomes: the four questions that prove ROI.

See what you're paying for AI across the org

Track seats, tokens, credits, and model usage across every AI tool in one view. Identify where budget concentrates, where it sits idle, and which tools cost without contributing to output.

Know who's using AI, and whether it ships

Real utilization isn't a session count. It's the share of your org genuinely working with AI, and whether that code reaches production. Hivel surfaces both by team and developer.

Compare delivery between AI users and everyone else

Impact view compares cycle time, hotfix resolution, rework, and coding time across cohorts segmented by AI usage. If power users ship faster and cleaner than inactive ones, you'll see it. If not, that too.

Turn impact data into board-ready proof of ROI

When cycle time drops for high-usage teams, rework falls org-wide, and hotfix rates stay stable at higher deploy frequency, that's not a dashboard. That's the answer your board is asking for.

Four tabs. Every angle on engineering effort.

Configurable impact metrics

Choose the metrics that appear in your AI comparison: cycle time, rework, hotfix resolution, coding time, and more.

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AI-generated code in hotfix PRs

See the percentage of hotfix PRs containing AI-generated code, before the pattern compounds into a reliability problem.

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Historical trend per cohort

Track how each cohort's delivery metrics have shifted over time, and whether the gap between high and low AI users is widening.

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Delivery health since rollout

Track whether deployment frequency, change failure rate, and sprint accuracy have shifted in the right direction since rollout.

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Hivel × Freshworks Case Study Card
Freshworks NASDAQ: FRSH

How Freshworks measured AI impact across 1,500 engineers — in real time

The Challenge

No standard way to measure AI adoption across 1,500 engineers
Couldn't tell which AI tools were helping vs just running
Surveys were the only answer — slow, expensive, inaccurate
1,500+ Engineers · AI ROI Measurement · NASDAQ: FRSH
40% Increase in engineering throughput
50% Reduction in rework and maintenance
25% More features released in key business units
10% Improvement in time-to-market

Frequently asked questions

What metrics does the AI Impact comparison actually show?

You choose. Default metrics include cycle time, hotfix resolution time, rework, and coding time. Add or remove via filter. Every metric is segmented by developer cohort (power, regular, occasional, inactive), so you can verify whether AI usage correlates with stronger delivery performance.

How is this different from what Copilot or Cursor report?

Vendor dashboards report IDE activity: suggestions accepted, sessions, tokens. AI Impact connects that usage to engineering output. Whether heavy AI users actually ship faster, write cleaner code, and resolve incidents quicker. That link is what the board is asking about.

What's the difference between the Adoption and Impact views?

Adoption shows who uses AI and how deeply: cohorts, code distribution, team breakdown. Impact answers the next question: does it matter? It compares delivery metrics between high and low AI users so you can see whether adoption is moving the outcomes that count.

Trusted by 1000+ Engineering Teams

Vaibhav Bansal
V.P. Engineering
"Hivel has been phenomenal in helping us present our progress to leadership. Its insights into leading indicators have empowered our team leads to enhance review efficiency and ship features faster. Now, we are able to show the impact of our process changes, clearly identify areas of opportunity, and bring in a data-driven culture without spending time pulling manual reports."
Murali Swaminathan
Chief Technology Officer
"We were looking for a unique solution to understand engineering productivity and efficiency, with a single tool that could give leaders complete visibility. We evaluated other comparable tools, but none were comprehensive enough. When we came across Hivel, it checked all the boxes for measuring developer productivity across both AI and non-AI workflows."
Derek Mackie
Director of Engineering
"Using Hivel shone a light on the non-standard aspects of our work, emphasizing the need for crucial adjustments. The insights from Hivel helped us recognize areas for improvement, particularly in managing cycle times and streamlining development workflows. This guidance has been instrumental in our efforts to enhance operational efficiency and productivity."
Leonardo Pinheiro Ferrari
Chief Technology Officer
"Thanks to Hivel, we've seen a staggering 157% improvement in our deployment frequency. By identifying and addressing inefficiencies, and adopting best practices, we've significantly accelerated our progress. Hivel has been instrumental in our journey to operational excellence."
Chris Callander
Senior Engineering Manager
"Hivel has been instrumental in identifying areas for enhancement and guiding our strategic improvements. It has significantly contributed to our journey toward greater operational efficiency. The Activity and Dev360 features in Hivel have been particularly valuable for providing feedback to engineers during 1-1's, enhancing our communication and development practices."
Shiro Theuri
Chief Technology Officer
"Before Hivel, understanding our engineering team's dynamics was a game of guesswork. Now, with Hivel's clear dashboards and insights, our leaders have the clarity and time-saving tools they need to excel. It's been transformative in streamlining our operations."
Koti Reddy
Chief Technology Officer
"Incorporating Hivel into our daily operations has been a game-changer. It's not just a tool; it's a part of our strategic decision-making process, trusted by our leaders at every level. The impact on our engineering efficiency is undeniable and deeply valued."
Manoj Awasthi
Chief Technology Officer
"It has been great to partner with Hivel to get access to insights that help leaders at all levels gain visibility into bottlenecks and challenges that the teams face, build actionable plan to resolve them and track the progress over time. And thanks for the fantastic support!"
Ameen M
Engineering Manager
"Hivel has made a huge difference to how I manage my teams. Before every one-on-one or appraisal, I rely on it to dive into developer metrics and drive truly meaningful conversations. It helps me spot rework patterns, reward high performers, and benchmark our teams even against our US counterparts. The dashboards are intuitive, insightful, and honestly far more actionable than anything we get from Jira."
Paras Sood
Associate Director
"Hivel's insights have been pivotal in refining our engineering processes, elevating both efficiency and the developer experience. We're now making smarter decisions, faster, thanks to Hivel."
Vaibhav Bansal
V.P. Engineering
"Hivel has been phenomenal in helping us present our progress to leadership. Its insights into leading indicators have empowered our team leads to enhance review efficiency and ship features faster. Now, we are able to show the impact of our process changes, clearly identify areas of opportunity, and bring in a data-driven culture without spending time pulling manual reports."
Murali Swaminathan
Chief Technology Officer
“We were looking for a unique solution to understand engineering productivity and efficiency, with a single tool that could give leaders complete visibility. We evaluated other comparable tools, but none were comprehensive enough. When we came across Hivel, it checked all the boxes for measuring developer productivity across both AI and non-AI workflows.”
Vaibhav Bansal
V.P. Engineering
"Hivel has been phenomenal in helping us present our progress to leadership. Its insights into leading indicators have empowered our team leads to enhance review efficiency and ship features faster. Now, we are able to show the impact of our process changes, clearly identify areas of opportunity, and bring in a data-driven culture without spending time pulling manual reports."
Derek Mackie
Director of Engineering
"Using Hivel shone a light on the non-standard aspects of our work, emphasizing the need for crucial adjustments. The insights from Hivel helped us recognize areas for improvement, particularly in managing cycle times and streamlining development workflows. This guidance has been instrumental in our efforts to enhance operational efficiency and productivity."
Leonardo Pinheiro Ferrari
Chief Technology Officer
"Thanks to Hivel, we've seen a staggering 157% improvement in our deployment frequency. By identifying and addressing inefficiencies, and adopting best practices, we've significantly accelerated our progress. Hivel has been instrumental in our journey to operational excellence."

"The only tool our entire leadership team actually trusts"

- CTO, Enterprise
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