The SURGE FRAMEWORK
Reclaim your enterprise AI tool budget for maximum capital efficiency.
Recovery surfaces the recoverable AI spend across idle licenses, model mismatch, overlapping tools, and zombie agents. Every dollar tied to a cause, every cause traceable to a team, ready for procurement.
The problem
AI waste isn't a single line item. It hides across four different patterns.
An idle seat costs the same as a power user. A premium model running routine tasks costs ten times more than necessary. Two tools doing the same job per developer. An abandoned agent still burning tokens. Each pattern is small. Together they consume a real share of every AI budget.
Waste doesn't show on the vendor invoice
Vendor dashboards show total spend and license count. They don't show whether a premium model is doing routine work, or whether two tools are paying for the same outcome.
Procurement asks for waste numbers Finance can't produce
"How much can we cut at renewal?" is the standard question. The honest answer requires telemetry-level data on idle seats, model usage patterns, and tool overlap.
Zombie agents keep burning tokens forever
An automation built six months ago, abandoned by the developer who set it up, still queries the API every hour. Nobody notices until someone audits the token bill.
The questions Jira reports can't answer. Investment Profile can.
Recoverable spend
See the recoverable AI investment before your next renewal
Map recoverable AI investment with Model Mismatch as the primary waste cause. The headline number procurement and finance need before the next renewal cycle hits, calculated continuously from real telemetry.
Recovery by cauuse
Trace every wasted dollar to its underlying cause
Identify the root drivers of inefficiency including model misallocation, redundant licenses, and inactive AI agents. Drill down into any cost category to pinpoint directly back to its source team, instantly creating a clear roadmap for enterprise cost containment.
Recovery over time
Track recoverable spend trends across every AI tool
The Recoverable Spend Overtime chart plots waste per tool over the selected range. Claude trending up means model selection drift. Copilot trending flat with high idle cost means licenses outpacing real adoption. The patterns show before the renewal conversation forces them.
Team-level recovery
Surface the teams generating the most recoverable spend
Identify which business units drive the highest recoverable AI spend and where to prioritize optimization. Easily isolate low-efficiency teams, contrast their usage tiers against actual waste, and implement targeted contract remediation.
The framework
Five pillars. One measurement model. Real engineering data.
SURGE measures the full value chain from AI investment to delivered outcome. Each pillar answers a question your current dashboards can't.
Idle license detection
Identify seats with near-zero activity across all AI coding tools. Calculated continuously, not at quarter end.
Model misselection analysis
Premium models running routine tasks. Lightweight models on complex work. Hivel quantifies the redirectable spend per cause.
Tool overlap detection
Identify developers with multiple AI tool licenses where only one is actively used. Consolidation candidates surfaced automatically.
Zombie agent surfacing
Detect automations and agents still consuming tokens without an active owner. The hidden runaway-cost pattern most orgs miss entirely.
Frequently asked questions
What does Hivel mean by "recoverable" AI spend?
Recoverable spend is AI cost that's actionable through procurement decisions: idle seats that can be cut at renewal, premium models that should be downgraded for routine work, overlapping tool licenses that can be consolidated, and zombie agents that should be shut down. Each dollar is tied to a specific waste pattern and action.
What is Model Misselection?
Premium models running tasks where a lightweight model would have produced the same result at lower cost. Or the inverse: lightweight models running complex tasks where the suggestions get rejected, wasting both tokens and developer time. Hivel quantifies the redirectable spend per pattern.
How does Hivel detect Zombie Agents?
Hivel monitors agent API call patterns from your AI tool admin APIs. Agents with consistent token consumption but no recent owner activity, no associated PRs, or no human interaction loop get flagged as zombies. The pattern catches automations that outlived the project they were built f
How fast can we actually recover the identified spend?
Idle license cost is recoverable at the next renewal cycle. Model misselection can be addressed within a sprint by updating tool defaults. Zombie agents can be shut off in hours. Overlapping licenses typically require a 30-to-60-day procurement conversation. Most orgs see meaningful recovery within one quarter of acting on the data.
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."
.svg)
.png)
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"
