specification: FinOps Framework
specificationVersion: '1.0'
schema: https://www.finops.org/framework/
provider: Lorikeet
providerId: lorikeet
created: '2026-07-01'
modified: '2026-07-01'
reconciled: false
tags:
- AI
- Customer Support
- AI Agent
- FinOps
- Cost Management
- FOCUS
description: >-
  FinOps view of Lorikeet spend. Lorikeet is an enterprise AI customer support
  agent sold on a sales-quoted, outcome- / resolution-based model - spend
  tracks the volume of support tickets the agent actually resolves rather than
  per-API-call or per-seat charges. The primary cost driver to allocate and
  optimize is resolved conversations; secondary considerations are escalation
  (human-handoff) rate and the volume of tool/action calls into downstream
  systems (which may carry their own third-party costs, e.g. Stripe, Twilio).
notes: >-
  No public unit prices are available (contract-quoted). Meters below describe
  the cost model qualitatively for allocation and optimization; reconcile actual
  billed units and rates against your Lorikeet agreement.
sources:
- https://lorikeet.ai
- https://www.lorikeetcx.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: Lorikeet
serviceCategory: AI and Machine Learning
billingModel:
  pricingCategory: Outcome-Based
  billingFrequency: Monthly
  billingCurrency: USD
  chargeCategories:
  - Usage
  - Purchase
focusColumns:
  ServiceName: Lorikeet AI Support Agent
  ServiceCategory: AI and Machine Learning
  ProviderName: Lorikeet
  PublisherName: Lorikeet
  InvoiceIssuerName: Lorikeet
  BillingCurrency: USD
  ChargeCategory: Usage
  PricingCategory: Outcome-Based
meters:
- name: resolved_conversations
  description: Support conversations the AI agent resolved end-to-end; primary billed / allocated unit under resolution-based pricing.
  unit: resolutions
  aggregation: sum
  dimensions:
  - account
  - channel
  - workflow
- name: conversations_handled
  description: Total conversations the agent engaged (resolved plus escalated); useful for containment/deflection analysis.
  unit: conversations
  aggregation: sum
  dimensions:
  - account
  - channel
- name: escalations
  description: Conversations handed off to a human agent; a cost-avoidance signal (unresolved by AI).
  unit: escalations
  aggregation: sum
  dimensions:
  - account
  - workflow
- name: tool_invocations
  description: Typed action / tool calls the agent makes into downstream systems; may incur third-party costs (e.g. Stripe, Twilio).
  unit: invocations
  aggregation: sum
  dimensions:
  - account
  - tool
principles:
- name: Visibility
  description: Track resolved vs. escalated conversations per channel and workflow to understand containment and effective cost per resolution.
- name: Allocation
  description: Attribute resolutions to teams/workflows/queues to map AI support spend to internal cost centers.
- name: Optimization
  description: Improve workflow/skill coverage to raise resolution rate and lower escalations; audit tool calls that trigger downstream third-party charges.
- name: Accountability
  description: Assign owners per workflow; review resolution volume and escalation rate monthly against the contracted commitment.
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com