Account for every AI token and dollar.
See, understand and control every dollar your company spends on AI.
Token & Spend Insights
All-in cost
$183,847
$122,554 usage + $61,293 fixed licenses
Spend breakdown
Usage by actor
Session split
Human · 73% Agents · 27%
Spend split · variable usage
Human · $33,847
Agents · $88,707
$40
variable cost / human
$485
variable cost / agent
Attribution · selected surfaces
Alerts
Budget nearly exhausted. reporting-pipeline-v3 switched to a cheaper model at 90% of budget.
Trusted by AI-forward enterprises
This is the scale
AI spend is growing fast. Get ahead of it.
Tokens processed across Google products
1 billion+
tokens per second on average, calculated from Google’s May 2026 monthly total.
“Some out there might call this tokenmaxxing, and there’s probably some truth to it.”
4mo
to budget zero at Uber
Uber reportedly exhausted its 2026 budget for AI coding tools within four months. Its COO questioned how rising usage translated into useful consumer features.
$6M+
in unplanned annualized costs
A healthcare enterprise consumed 1 trillion tokens over six months before finance could identify the cost driver.
78%
of surveyed IT leaders
AI-native app spending grew 108% year over year. In a survey of 218 IT leaders, 78% reported unexpected charges tied to consumption-based or AI pricing.
01 Integration
Consolidate spend across multiple sources.
Token usage, seat licenses, cloud model calls, API gateways. They all measure cost differently. Larridin connects to every source and maps them into a single spend model, automatically.
$183.8K
total spend MTD
8
surfaces in use
183
agents running
Spend sources
Browser plugins
ChatGPT, Claude, Gemini, Perplexity
839 users
Cloud providers
Bedrock, Vertex, Azure OpenAI
llama-3.3-70b, claude-sonnet-4, gpt-4o
API gateways
LiteLLM, Portkey, Cloudflare AI Gateway
4,512 calls / hr
Subscriptions
ChatGPT Ent 240, M365 Copilot 1200, Cursor 85
1,525 seats
Desktop OTel agent
Claude Code, Cursor, Codex sessions
chat.completion spans
Custom connectors
Snowflake and warehouse feeds
48,210 rows synced
One spend model
Reconciles and maps every dollar
$183,847
total spend, month to date
Token usage, seat licenses, cloud model calls and gateway traffic each measure cost differently. Larridin normalizes them into one ledger, automatically.
Human vs Agent breakdown
Session split
Variable usage · $122,554
Human Agents
avg variable cost / human
$40
variable usage only, month to date
avg variable cost / agent
$485
72% of variable spend is agent-driven
02 Visibility
Bring complete visibility across your agents and usage-based spending.
Most tools measure human output or agent output. Not both together. Larridin gives you the human and agent split in a single view so every dollar traces back to whoever spent it, and what they produced.
839
users tracked in real time
183
active agents monitored
27%
of sessions are agents
72%
of variable spend is agent-driven
03 Attribution
See what separates efficient spend from the expensive one.
Larridin maps every key to an owner, team and cost center, so you can attribute every AI dollar to a specific use case or outcome.
Spend by surface
| AI surface | Spend | Value created |
|---|---|---|
| Claude CodeEngineering | $18,392 | 7h / dev |
| Lead Prospecting AgentSales | $12,847 | 7h / SDR |
| ChatGPT EnterpriseMarketing | $6,200 | +23% output |
| Meeting AgentOperations | $1,800 | 4 mtgs cut / wk |
Drill: selected people
Production Eng$2,184
Sales Ops$5,189
Marketing$2,192
Example output for the selected workflows: hours per developer or SDR per week, output lift, meetings removed.
04 Alerts
Most AI spend problems announce themselves too late.
Larridin flags projected overages, unattributed spend, agent debt, and dormant seats before they turn into renewal surprises or runaway costs.
Example first scan
18%
of spend awaiting attribution in this example
47
agents awaiting an owner in this example
Budget alert
Projected overage
Projects spend per team and flags budgets at risk before the quarter closes.
Budget 90% · reporting-pipeline-v3 auto-switched to a lower-cost model
Attribution gap
Unattributed spend
Surfaces every dollar that hasn’t been mapped to a team, agent, or use case.
18% of this month’s spend has no team or use case yet
Agent risk
Agent debt
Flags active agents with no accountable owner before they run unchecked.
47 active agents have no owner on record
Subscription drift
Dormant seats
Identifies enterprise seat licenses unused in the trailing 30 days, ready to reclaim or renegotiate at renewal.
ChatGPT Ent · 38 of 240 seats idle for 30 days · renewal in 41 days
Beyond spend
Spend is just a start. Measure complete AI ROI.
Larridin already measures how broadly your teams use AI, how skillfully they use it, whether it’s making them more productive, and how the work itself is changing. Spend is the cost side of that picture.
See it next to the rest and you stop asking what AI costs and start seeing what you get for it.
How broadly your teams use AI, by team and role, and what it costs.
AI FluencyHow skillfully they use it. Find the power users and close the gaps.
AI ImpactWhether it is making them more productive: capacity added, cost per AI hour, ROI.
Workflow IntelligenceHow the work itself is changing, and where automation pays off next.
CFOs are demanding answers
on what AI is buying.
What are we spending on AI? Who’s spending it? Is it working? Someone will ask. Larridin means you don’t have to scramble to find out.
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