Budget governance
Per-tenant budgets for GenAI: protect margin
Workspace budgets are not enough in multi-tenant products. Tenant-level controls protect shared margin and improve escalation ownership.
Full guide: Per-tenant LLM margin operating model for AI SaaS
What this use case answers
- Which endpoint, tenant, or workflow unit should own the spend.
- What signals reveal cost drift in this product shape.
- Which controls improve margin or operational clarity fastest.
What to alert on
- cost/request drift by endpointTag or promptVersion
- unexpected tenant concentration in Top Users
- request burst with falling success ratio
- budget warning, spend-alert, and exceeded state transitions
Execution checklist
- Confirm spike type: volume, token, deploy, or abuse signal.
- Assign one incident owner and one communication channel.
- Apply immediate containment before deep optimization.
- Document the dominant endpoint, tenant, and promptVersion driver.
- Convert findings into one permanent guardrail update.
Why tenant budgets are required
- One high-volume tenant can consume most of shared monthly budget.
- Workspace-level limits hide responsibility and delay escalation.
- Tenant-level controls align spend ownership with account teams.
Use this workflow
Turn diagnosis into action
Identify the cost driver, validate it with attribution, then apply one durable control before the next billing cycle.
Apply in your workspace
Re-run this workflow on your own spend data
Follow the same path from article insight to telemetry verification, then validate with your own cost signals.
Concentration math (the margin-drain signal)
Most “surprise” overruns are concentration problems: one tenant’s volume or token usage changes faster than the rest of the workspace.
Track tenant share of spend and tenant spend delta. A small number of tenants often drive most of the variance.
- tenantShare = tenantSpend / workspaceSpend
- tenantDelta = tenantSpend(today) - tenantSpend(baseline)
- Alert when one tenantShare crosses a threshold (example: 20-40%).
Implementation checklist
- Define daily and monthly tenant thresholds.
- Alert on warning and exceeded states with tenant context.
- Attach endpoint and promptVersion contributors in alert payloads.
- Review overrun tenants weekly with product and finance owners.
Tenant budget policy template (warning vs exceeded)
- Warning: notify account owner + platform owner with top endpointTag and promptVersion drivers.
- Exceeded: require an explicit decision (approve overrun, degrade, or throttle).
- Burn-rate: detect drift early (spend/day and cost/request vs baseline).
Recovery actions when a tenant exceeds budget
- Throttle the tenant on non-critical endpoints first.
- Route to cheaper models or smaller context for the exceeded tenant.
- Enforce per-tenant output caps to prevent runaway completions.
- Notify account owner with the top endpointTag + promptVersion drivers.
- Offer an upgrade path or quota policy instead of silent margin loss.
Pricing actions enabled by per-tenant budgets
- Introduce fair-use limits for high-variance tenants.
- Add usage-based overages for expensive endpoints (endpointTag-based pricing).
- Bundle low-cost features and charge for high-cost workflows explicitly.
- Use plan tiers to control access to high-cost endpoints and model tiers.
Weekly review agenda (15 minutes)
- Top 10 tenants by spend and by delta vs last week.
- Top endpoints for the top 3 tenants (feature drivers).
- promptVersion changes shipped in the same window.
- Retry ratio and outliers (p95/p99 token spikes).
- One action owner + one policy update.
FAQ
Should we set per-tenant budgets or per-user budgets?
If you are B2B, per-tenant budgets usually map directly to contracts and margin. Per-user budgets help for abuse detection and internal chargeback, but tenant budgets are the fastest path to commercial decisions.
Do per-tenant budgets mean hard blocking tenants?
Not necessarily. Start with soft thresholds (alerts + owner workflows). Add degraded mode (smaller context, shorter outputs, fewer tools) before hard blocks. Hard blocks work best for non-critical endpoints and abuse patterns.
What should the alert include for a tenant overrun?
Budget state + burn-rate, top endpointTag contributors, promptVersion changes in the same window, retry ratio, and the tenant’s share of workspace spend so the decision is fast and explainable.
Related guides
Evaluation resources
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