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.
Runtime cost review
Runtime spend
$5.3k
Active work
24
Reviewed
91%
Ready to bill
$18.4k
Time captured with context
AI agent runtime cost tracking
Billing review complete
Client and project checked
Invoice evidence ready
Approved summary prepared
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.
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.
Combine AI agent cost records with human billable hours in one review so the total delivery effort is visible before the invoice cycle starts.
Use reviewed human and agent cost data to prepare client summaries and invoice backup that reflect how the work was actually delivered.
Runtime cost attribution
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
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
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.
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.
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.
The difference is not just recording time. It is whether the record can support billing, project decisions, and client conversations.
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.
The best way to manage AI agent runtime cost tracking is to capture work at source, attach it to the right client and project, review it before invoicing, and use the reviewed record as billing evidence. Keito is built around that workflow so time, approvals, and invoice context stay connected.
Yes. Keito helps with AI agent runtime cost tracking by tracking work by client, project, task, person, billable status, and review state, then turning approved records into client-ready summaries. That makes the data useful for billing, profitability, and client reporting rather than just attendance.
Keito is different because it treats time as billing evidence, not just duration. A generic timer records how long something took; Keito records who did the work, where it belongs, whether it was reviewed, and how it should appear in client billing context.
Yes, AI agent runtime cost tracking can support billing clients for AI work when agent sessions, token costs, compute spend, and human review time are attributed to the right client project. Keito keeps AI costs and human time together so teams can explain total delivery effort before invoicing.
A client-ready AI agent runtime cost tracking report should include the client, project, task, contributor, billable status, approval state, and a concise explanation of the work completed. Keito keeps those details connected so reports can answer client questions without exposing internal delivery noise.
Solo includes 1 licensed user, unlimited AI agents, Mac desktop and iOS apps, Stripe payments, and standard CSV and Excel exports. Pro adds your team. Business adds integrations, planning, advanced reporting, and stronger controls.
1 licensed user
For independent consultants, freelancers, and small studios running work with AI agents.
Team collaboration
For teams that need shared workspaces, approvals, and team-level project visibility.
Advanced operations
For organizations that need integrations, planning, advanced reporting, and stronger controls.
AI agents do not require licenses on any plan.
Solo, Pro, and Business can use API keys for agent workflows.
Solo, Pro, and Business include standard CSV and Excel data export.
Start with Solo, add people on Pro when you need reviewers or collaborators, and see how Keito turns tracked effort into clearer reports.