The SURGE FRAMEWORK
Every AI dollar your engineering org spends, in one ledger.
Spend is the denominator for every AI ROI conversation. SURGE Spend unifies AI tool licenses, token consumption, model selection, and infrastructure across Copilot, Cursor, Claude, and beyond, in one view.
Get the full picture on your AI adoption and impact.
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The problem
Your AI invoice arrived. The breakdown of what it bought did not.
AI coding tools now run six and seven-figure annual budgets. Copilot bills monthly. Cursor bills by seat. Claude tokens accumulate by usage. Infrastructure varies by model and region. The total cost is a number nobody owns end-to-end.
Each AI vendor reports in their own format
Copilot dashboard. Cursor admin panel. Claude usage exports. Different tools, different format, different release cadences. Finance assembles the picture manually every quarter, every renewal cycle.
Estimates can't survive a CFO conversation
A merged PR cost at $X or $XX. Without a baseline view across teams and tools, that number is meaningless. The procurement decision waits on data that doesn't exist.
Capitalization runs on quarterly guesses
Engineering managers estimate capitalizable percentages every quarter end. Auditors ask for evidence. Without spend data tied to specific initiatives, the percentages don't survive a serious review.
From AI invoice to engineering ledger in four views.
Total AI spend
See your full AI budget in one number
Three KPI cards above: Total AI Spend, Average Cost per PR, Cost per Developer per Day broken down by org, team and developers. The denominator every AI ROI conversation needs.
Cost per merged PR
Measure what each merged change actually cost to ship
The unit-economics view procurement and Finance ask for at every renewal cycle, calculated continuously from real engineering data.
Spend over time
Track AI spend trends across every tool
The Spend Overtime chart plots daily AI cost across Claude, Copilot, and Cursor over the selected range. See whether a tool's cost is climbing faster than usage. Identify the inflection point before it becomes a budget conversation.
Team-level allocation
Tie AI spend to teams, initiatives, and capitalizable work
Drill from total spend into team-level allocation. See Spend, Average Cost per PR, and developer count for every team in one table. The foundation for cost capitalization, initiative-level allocation, and the quarterly audit conversation.
The full AI spend picture, calibrated for engineering and finance.
Multi-tool spend aggregation
Unified spend across Claude, Copilot, Cursor, and other AI tools in one view. No more spreadsheet reconciliation across vendor dashboards.
Cost per merged PR Calculated
Track unit economics at the merged-change level. Compare across teams to see where AI spend translates into shipped code.
Capitalization-ready data
Map AI spend to capitalizable engineering work. Export audit-ready reports with full methodology and per-team breakdowns.
Trend tracking and alerting
Spot spend trajectory shifts early. Set thresholds on any tool or team. Get notified before the renewal cycle hits.
Frequently asked questions
How does Hivel calculate Cost per PR?
Hivel divides total AI tool spend for the period by the number of PRs merged in the same period. The calculation runs per team and per tool, so you can compare unit economics across the org. Fully-loaded engineering cost is configurable separately.
Which AI tools does SURGE Spend currently support?
GitHub Copilot, Cursor, and Claude are the primary supported tools as of this writing. Token-level breakdown for Claude and Cursor is supported via their respective admin APIs. Additional tools are added based on customer demand.
Can SURGE Spend tie AI cost to specific initiatives or Jira projects?
Yes. Hivel maps engineering effort to Jira initiatives and projects using story points and capacity data. Combined with SURGE Spend, this produces initiative-level cost attribution across teams, useful for capitalization reporting and board-level investment summaries.
How does Cost/Dev/Day work?
Cost/Dev/Day takes total AI tool spend for the period, divides by active developer count, then by active days. Surfaces whether AI cost per engineer is climbing faster than productivity. A signal procurement uses for renewal conversations.
Is our data secure?
Yes. Hivel reads from AI tool admin APIs and engineering tools with read-only access. Source code and financial data from your finance systems are never stored. SOC 2 Type II and ISO 27001 certified.
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."
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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"
