ai agent unit economics 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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AI unit economics
Pricing AI work without unit economics is guessing in the dark
AI-delivered work has a deceptively simple-looking cost that is actually spread across several places: model tokens, multiple tool and API calls per run, retries, and the human time spent reviewing and correcting output. If a team prices an outcome — a generated report, a processed ticket, an automated workflow — without knowing the true cost per run, it can sell something that loses money at scale and not realise it until the provider bill lands. Keito gives AI teams the operating record to measure real unit economics. Each agent run's model and tool costs are captured against the client, project, and task, human review time is logged beside them, and the combined cost rolls up to a per-run, per-task, and per-client view. Teams can compare what an outcome costs to deliver against what they charge for it, see which clients or workflows are quietly unprofitable, and adjust pricing or model choices with evidence. The result is AI pricing grounded in margin, not in optimism about how cheap the agents felt.
Measure cost per run, per task, and per client across agent work
Include model, tool, and human review cost in the unit cost
Compare delivery cost against price to find unprofitable workflows
Workflow fit
True cost per run vs aggregate AI bills
Keito keeps ai agent unit economics connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Measure cost per run, per task, and per client across agent work
Include model, tool, and human review cost in the unit cost
Compare delivery cost against price to find unprofitable workflows
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What Keito adds to ai agent unit economics
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
True cost per run vs aggregate AI bills
Keito keeps ai agent unit economics 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 unit economics?
The best way to manage AI agent unit economics 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.
Can Keito help with AI agent unit economics?
Yes. Keito helps with AI agent unit economics 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.
How is Keito different from a generic timer for AI agent unit economics?
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.
Can AI agent unit economics support billing clients for AI work?
Yes, AI agent unit economics 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.
What should a client-ready AI agent unit economics report include?
A client-ready AI agent unit economics 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.
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Start solo.Add people when you need them.
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.
Solo
1 licensed user
For independent consultants, freelancers, and small studios running work with AI agents.
Solo, Pro, and Business can use API keys for agent workflows.
Exports on every plan
Solo, Pro, and Business include standard CSV and Excel data export.
Build a cleaner billing record for ai-native teams and agencies that need cost-per-run and cost-per-client visibility to price, bill, and protect margin on ai-delivered work.
Start with Solo, add people on Pro when you need reviewers or collaborators, and see how Keito turns tracked effort into clearer reports.