specification: FinOps Framework specificationVersion: '1.0' schema: https://www.finops.org/framework/ provider: Gradient Labs providerId: gradient-labs created: '2026-07-01' modified: '2026-07-01' reconciled: false tags: - AI - Customer Support - AI Agent - Financial Services - FinOps - Cost Management - FOCUS description: >- FinOps view of Gradient Labs spend. Gradient Labs is an enterprise, outcome-based service: cost is driven by the volume of conversations the AI agent ("Otto") resolves across channels rather than by metered per-token or per-API-call rates. Because pricing is sales-quoted and not publicly itemized, cost allocation should be built around conversation volume, resolution/hand-off rates, and per-channel usage tracked from the API and webhooks. notes: >- No public unit rates are published; the model is outcome/resolution based under an enterprise agreement. Meters below describe operationally observable cost drivers, not billed line items. Verify against your contract on reconciliation. sources: - https://www.gradient-labs.ai - https://api-docs.gradient-labs.ai/ - https://focus.finops.org/focus-specification/v1-3/ alignedWith: framework: FinOps Foundation Framework frameworkUrl: https://www.finops.org/framework/ dataSpec: FOCUS dataSpecVersion: '1.3' dataSpecUrl: https://focus.finops.org/focus-specification/v1-3/ publisherName: Gradient Labs serviceCategory: AI and Machine Learning billingModel: pricingCategory: Outcome-Based billingFrequency: Monthly billingCurrency: USD chargeCategories: - Usage - Purchase focusColumns: ServiceName: Gradient Labs AI Agent ServiceCategory: AI and Machine Learning ProviderName: Gradient Labs PublisherName: Gradient Labs InvoiceIssuerName: Gradient Labs BillingCurrency: USD ChargeCategory: Usage PricingCategory: Outcome-Based meters: - name: conversations_started description: Conversations created via POST /conversations, a leading indicator of volume. unit: conversations aggregation: sum dimensions: - account - channel - name: conversations_resolved description: >- Conversations the AI agent concluded (conversation.finished webhook); the primary outcome-based cost driver. unit: conversations aggregation: sum dimensions: - account - channel - intent - name: conversations_handed_off description: >- Conversations escalated to a human (conversation.hand_off webhook); tracks deflection rate and residual human cost. unit: conversations aggregation: sum dimensions: - account - reason_code - name: agent_messages description: Outbound AI-agent messages delivered (agent.message webhook). unit: messages aggregation: sum dimensions: - account - channel - name: actions_executed description: >- Business tools/actions the agent invoked (action.execute webhook or POST /tools/{id}/execute), which may incur downstream system cost. unit: invocations aggregation: sum dimensions: - account - action principles: - name: Visibility description: >- Track conversation volume, resolution rate, and hand-off rate per channel from the API and webhook events; reconcile against the enterprise invoice. - name: Allocation description: >- Tag conversations with customer_id, channel, traffic_group_id, and intent to map cost to business lines and cost centers. - name: Optimization description: >- Improve knowledge-base coverage and procedures to raise autonomous resolution and reduce human hand-offs, the main residual cost. - name: Accountability description: >- Assign owners per channel/traffic group; review resolution vs. hand-off trends monthly against the outcome-based agreement. maintainers: - FN: Kin Lane email: kin@apievangelist.com