
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.
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.

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.

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.

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.

SURGE measures the full value chain from AI investment to delivered outcome. Each pillar answers a question your current dashboards can't.
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.
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.
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
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.


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