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AI Spend Intelligence

Every AI dollar. Tied to the work it produced.

Larridin reconciles spend from coding agents, AI gateways, cloud providers, and subscriptions, then maps it to the teams, users, agents, models, and use cases behind the cost

AI Spend Intelligence dashboard showing total spend, charts, and spend by agents

Full spend coverage

Consolidate AI spend across the enterprise

Bring fixed subscriptions, variable token usage, agent runtime costs, cloud model bills, and unmanaged AI tools into one spend model

Spend visibility

Consolidated token spend

Larridin unifies agent runtime costs, subscription fees, and API spend into a single view.

Consolidated token spend dashboard
Integration coverage for coding agents, cloud providers, and API gateways

Integration coverage

Connect every place AI spend happens

No manual exports. Larridin pulls spend from coding agents, cloud providers, API gateways, and subscriptions automatically.

Spend attribution

Stop tokenmaxxing. Start token accountability.

Larridin attributes AI token spend to the team, agent, and use case behind it, then ties that spend to output signals like velocity gained, time saved, and meetings reduced.

Spend attribution table mapping AI surfaces to teams, spend, and impact

Spend alerts

Find the spend that needs action

Larridin flags projected overages, unattributed spend, and agent debt before they turn into renewal surprises, budget drift, or runaway agent costs.

Budget alert

Projected overage

Projects spend per team and flags budgets at risk before the quarter closes.

Budget forecast chart showing projected spend overage

Attribution gap

Unattributed spend

Surfaces every dollar that hasn't been mapped to a team, agent, or use case.

Unattributed OpenRouter spend with unmapped use case and team

Agent risk

Agent debt

Tracks agent ownership and flags active agents with no accountable owner.

Agent risk list showing agents without accountable owners

Start tracking your token spend along with AI Impact today

Larridin reconciles spend from coding agents, AI gateways, cloud providers, and subscriptions, then maps it to the teams, users, agents, models, and use cases behind the cost

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