Use Case

Agency Client Workspace LLM Monitoring

Agencies need client-level visibility for pricing, margins, and incident response. This use case creates workspace-level observability across providers without mixing client data.

Audience: Agencies, Operations, Client Delivery

What to measure

Metric	Why it matters
Cost per client workspace	Protect delivery margins and pricing accuracy.
Provider/model mix by client	Standardize routing and spot expensive outliers.
Latency/error rate by client	Support SLAs and faster incident triage.
Budget burn by environment	Separate staging experiments from production spend.

Proof from the product

Real UI snapshot from AI Cost Board used in production workflows.

Agency Client Workspace LLM Monitoring proof screenshot

Real product UI used to support this operational workflow.

Implementation steps

1. Create one workspace per client and segment projects by environment.
2. Track requests, tokens, cost, latency, and errors per workspace.
3. Configure client-specific budgets and anomaly alerts.
4. Use reporting exports for client reviews and renewals.

Related hubs and product pages

Pricing hub Comparisons hub Solutions hub Unified dashboard Request logs Budget alerts Providers hub Blog

Track this use case in AI Cost Board

Monitor cost, tokens, usage, latency, errors, and request logs across providers with project-level ownership and alerts.

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FAQ

Why is workspace-level tracking important for agencies?

It keeps client cost attribution clean and prevents cross-client budget and incident confusion.

Can this help with client reporting?

Yes. Exportable usage and cost reporting helps agencies justify pricing and optimization work.

What should be isolated besides cost?

Also isolate credentials, environments, alert owners, and provider routing policies.