Track AI agent runtime cost by the projects the agents actually run for.
Production agents do not just consume tokens — they consume compute, memory, orchestration, and observability budget. Keito gives engineering teams a place to attribute runtime cost to specific client engagements.
AI agent runtime cost tracking needs more than a timer. The billing record has to keep client, project, approval, and invoice context together before the work reaches finance.
Capture AI agent costs as they happen
Record token fees, subscription usage, and compute costs against the client project they serve as the agents run — not reconstructed at billing time from company card statements.
Review agent costs alongside human time
Combine AI agent cost records with human billable hours in one review so the total delivery effort is visible before the invoice cycle starts.
Produce billing evidence that covers every delivery resource
Use reviewed human and agent cost data to prepare client summaries and invoice backup that reflect how the work was actually delivered.
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Runtime cost attribution
Attribute AI agent runtime spend to the client projects that consumed it
Tokens are only one part of the cost picture for production AI agents. A multi-step agent running for a client engagement also consumes compute on the host platform (often elastic and bursty), persistent memory storage for context and history, orchestration runtime for multi-agent workflows, vector store reads and writes, and observability budget for tracing and evaluation. For an in-house AI engineering team building one product, that cost reads as a single infrastructure line on the cloud bill. For services teams and AI product studios running agent workloads on behalf of multiple client engagements, the same flat infrastructure cost has to be attributed to engagements — sometimes broken into billable spend and internal R&D spend, sometimes reflected in client invoices, sometimes captured in margin reviews. Without structured attribution, runtime spend becomes overhead and quietly erodes margin on AI-augmented engagements that looked profitable on token cost alone. Keito gives engineering and AI services teams a structured place to attribute agent runtime spend to client engagements. Compute, memory, orchestration, and observability cost is logged against client and project alongside token spend; approval queues catch missing attribution before runtime cost informs invoices or margin reviews; and finance — or the platform lead wearing the cost-review hat — works from a reviewed record rather than a cloud-billing export. The result is runtime spend that reaches the right client engagement rather than disappearing into infrastructure overhead.
Attribute agent runtime, compute, and orchestration cost to client engagements
Track infrastructure spend alongside token cost and human hours
Include attributable runtime spend in margin reviews and client invoicing
Workflow fit
Runtime cost attribution
Keito keeps AI agent runtime cost tracking connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Attribute agent runtime, compute, and orchestration cost to client engagements
Track infrastructure spend alongside token cost and human hours
Include attributable runtime spend in margin reviews and client invoicing
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What Keito adds to AI agent runtime cost tracking
Per-client AI cost attribution
Keito tracks AI agent costs against the same client and project structure as human billable hours so agent spend is never invisible overhead. Agent sessions land as source-tagged time entries via the CLI, API, or Agent Skill, with LLM token costs logged as expenses.
Token and subscription cost capture
Client and project attribution
Reviewable alongside human time
Combined human and agent billing view
See total delivery cost — human hours and AI agent costs together — by client and project so pricing, margins, and billing decisions reflect the real cost of work.
Human + AI cost in one workspace
Project-level margin context
Combined billing evidence
Flat pricing for AI-augmented teams
Keito flat pricing means adding AI tracking capacity to the billing workflow does not create a per-seat cost spike as more people and more agents are involved in delivery.
No per-user escalation
Room for AI and human contributors
Predictable monthly tool cost
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Compare the workflow
The difference is not just recording time. It is whether the record can support billing, project decisions, and client conversations.
AreaKeitoTypical setup
Runtime cost attribution
Keito keeps AI agent runtime cost tracking tied to clients, projects, billable status, approvals, and billing summaries in one workspace.
Typical setups capture time in one tool and rebuild the billing explanation later from exports, comments, or spreadsheet cleanup.
Review before invoicing
Managers review entries before they become invoice evidence, so missing context is fixed internally rather than during a client dispute.
Raw timer exports usually reach finance before delivery leads have confirmed whether the work is billable, complete, or client-ready.
Predictable team pricing
Flat-rate plans let delivery staff, reviewers, contractors, and finance users participate without per-seat pricing friction.
Per-seat time trackers make teams choose between clean billing participation and controlling tool spend.
What is the best way to manage AI agent runtime cost tracking?
Use a workspace where time is captured against the right client and project, reviewed before invoicing, and exported as billing evidence. Keito is built around that workflow, so AI agent runtime cost tracking is not separated from the approval and invoice context it needs.
Can Keito help with AI agent runtime cost tracking?
Yes. Keito tracks work by client, project, person, billable status, and review state, then turns approved records into client-ready summaries. That makes it useful when AI agent runtime cost tracking needs to support billing, profitability, and client reporting rather than just attendance.
How is this different from a generic timer?
A generic timer records duration. Keito records billable context: who did the work, which client and project it belongs to, whether it has been reviewed, and how it should appear in billing evidence.
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Start solo.
Add people when you need them.
Solo is built for one human owner and unlimited AI agents. Pro adds human teammates. Business adds integrations, exports, and online invoice payments.
Solo
One human owner
For independent consultants, freelancers, and small studios running work with AI agents.
AI agents do not count as human seats on any plan.
API on every paid plan
Solo, Pro, and Business can use API keys for agent workflows.
Business-only payments
Stripe payments, exports, Xero, and QuickBooks are on Business.
Build a cleaner billing record for engineering teams, ai infrastructure teams, and ai product studios running production agents on behalf of multiple client engagements who need runtime cost attribution.
Start with Solo, add people on Pro when you need reviewers or collaborators, and see how Keito turns tracked effort into clearer reports.