Your AI Invoice Grew Again. No One Can Tell You Why.
Token spend accumulates across Anthropic, OpenAI, Google, AWS, and Microsoft faster than finance can attribute it. Kanawai turns that into a managed, attributable line item: who is using what AI model, how much they are consuming, and where a cheaper model delivers the same outcome.
The Problem:
The Bill No One Can Explain
AI is metered by the token and spread across five or more providers, usually with no attribution to the user, team, or workload driving the cost. When your quarterly AI invoice arrives, nobody can tell you which tools drove it, which teams used them, or whether any of it was necessary.
Unattributed Spend
Token costs arrive as a lump sum from each provider. No breakdown by user, team, department, or workload. Finance has no way to allocate it.
Provider Sprawl
Anthropic Claude, OpenAI, Google Vertex AI, AWS Bedrock, Azure AI Foundry, plus Copilot seats across Microsoft 365 and Google Workspace. One consolidated view does not exist.
Model Over-Provisioning
Teams default to the most powerful (and most expensive) model regardless of the task. A summarization job running on a frontier model costs ten times what a mid-tier model delivers at equivalent quality.
With Kanawai:
Consumption Visibility at Every Level
Kanawai measures token consumption per platform and attributes it to the user, department, and activity behind it. You see where spend originates and how it is trending instead of a lump-sum invoice.
By Model
See per-model token consumption and cost across every connected provider. Understand exactly which foundation models are consuming your budget: Claude Opus, Gemini Pro, GPT-4o, Bedrock Titan, or any other model in your environment.
- Token consumption grouped by model across all providers
- Input vs. output token split for accurate cost modeling
- Cost truth for consumption-metered (Class A) systems
- Presence detection for seat-licensed (Class B) systems
By Model
Per-model tokens and cost. Class A rows carry token and cost truth.
By Person and Department
Rank top and bottom consumers across the organization. Surface the power users worth supporting, the paid seats going unused, and any concentration that warrants a closer look.
- Consumption ranked by user, team, and activity
- Identity-matched through SSO and IdP integration
- Paid seats with zero usage identified for reclamation
- Concentration risk surfaced when one team dominates spend
By Person and Department
Consumption Trend
Track cost and token consumption over time with period-over-period trending. See spikes before they become surprises on the invoice. Toggle between cost view and raw token view to understand both the financial and technical dimensions of your AI usage.
Consumption Trend
Peak $9.4KWith Kanawai:
The Right Model for the Task
Where a workload runs on a more expensive model than its use case requires, Kanawai recommends alternatives by cost or by utility so you deliver the same outcome for less. Model recommendations are matched to the user's role, department, and specific workflow.
Software Development
Anthropic Claude Fable 5
Anthropic Claude Opus 4.8
Code generation and review tasks achieve equivalent output quality on Opus 4.8 at a fraction of the Fable 5 cost per token.
Legal & Compliance
GPT-4o (via Azure AI)
Gemini 3.1 Pro
Contract review and regulatory summarization tasks show equivalent accuracy on Gemini 3.1 Pro with significantly lower per-token pricing.
Marketing & Content
Claude Sonnet 4
Gemini 3.6 Flash
Blog drafts, social copy, and email campaigns run on a high-throughput, low-cost model with no measurable drop in content quality.
Data Analysis
GPT-4o
Claude Haiku 4
Structured data transformations, SQL generation, and chart descriptions are well within the capability range of compact models.
Cost Recommendations Are Workflow-Aware
Kanawai does not simply suggest the cheapest model. Recommendations are grounded in the specific workflow, role, and quality requirements of each team. Engineering teams that need deep reasoning for complex code generation stay on frontier models. Marketing teams drafting social copy move to high-throughput models that deliver the same quality at a fraction of the price.
Across the Providers That Matter
One consolidated view of enterprise AI spend and adoption across every major provider. Kanawai connects through scoped, least-privilege APIs to meter consumption where vendors expose it, and detects usage where they do not. Our providers include:
Anthropic Claude
Teams, Enterprise, and Cowork
Exact model, token consumption, and per-user cost
Azure AI Foundry
Azure OpenAI deployments
Exact model and token consumption with identity
AWS Bedrock
All Bedrock model invocations
Exact model, token consumption, and IAM identity
Google Cloud
Vertex AI, Gemini, and third-party models
Exact model, token throughput, and identity
Microsoft 365 Copilot
Copilot for M365 and Teams
Tool, per-user interactions, and data touched
Google Workspace
Gemini in Workspace apps
Tool adoption and per-user activity
Class A (consumption-metered): cost and token figures are ground truth. Class B (presence-metered): reported by sessions and users, reflective of adoption.
Your Heaviest and Lightest AI Users
Kanawai ranks top and bottom consumers across the organization, surfacing the power users worth supporting, the paid seats going unused, and any concentration that warrants a closer look.
✕ Without Kanawai
- Lump-sum invoices with no user attribution
- Paid AI seats sitting idle across departments
- Teams independently purchasing duplicate tools
- No visibility into which model is driving cost
- Manual spreadsheet reconciliation every quarter
✓ With Kanawai AI
- Every token attributed to a named user and department
- Unused seats identified for license reclamation
- Duplicate spend across providers consolidated
- Per-model cost breakdown with right-sizing recommendations
- Real-time dashboards replace quarterly reconciliation
Why Kanawai AI for FinOps
Dual Knowledge Graph
We correlate a vendor-capability graph (what each AI tool and model is and does) with a private graph of your organization (people, teams, data, and policy), reasoning about cost at the level of a specific tool, data flow, and user.
Five-Layer Detection
Kanawai correlates signals from identity, vendor control planes, network, endpoint, and financial systems. Every observation feeds the knowledge graph to produce one attributed AI inventory.
Value in 48 Hours
Connect your environment and Kanawai surfaces your AI spend, utilization, model distribution, and right-sizing opportunities within 48 hours across 16+ integrations.
FinOps Meets Governance
The same attributed inventory that powers cost optimization also powers governance. One connection answers the questions finance, security, and compliance are all asking.
Stop Guessing. Start Knowing.
Schedule a demo today and discover how Kanawai AI transforms your data into answers and automated action.