Track what ChatGPT costs for each client, not just the monthly total.
Teams use ChatGPT across dozens of client deliverables, but the bill arrives as one subscription or one API total. Keito attributes ChatGPT spend to the client, project, and task it served so the cost becomes a billable record.
chatgpt 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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From flat subscription to per-client cost
A single ChatGPT bill that hides who it was spent on
ChatGPT is now woven through client delivery — drafting copy, summarising research, generating code, answering support tickets — but the spend shows up as one Team subscription or one API invoice with no client breakdown. For a team billing clients, that is a problem twice over: there is no way to recharge the cost fairly, and no way to tell which engagements are cheap to serve with AI and which are quietly expensive. Most teams ignore it until a heavy-usage client makes the number impossible to absorb, then try to reconstruct usage from memory. Keito removes the guesswork by capturing ChatGPT and assistant usage against the client, project, and task it supported as the work happens. The cost is attached to a reviewable record, routed through the same approval step as human time, and reported per client alongside billable hours. So instead of one opaque AI bill, finance sees exactly which clients drove ChatGPT spend, delivery leads see which work is AI-heavy, and any recharge to the client traces back to real usage rather than a round-number estimate.
Attribute ChatGPT and assistant spend to client, project, and task
Recharge or report AI cost with evidence instead of estimates
Review AI cost in the same workflow as human billable hours
Workflow fit
Per-client ChatGPT cost vs one flat bill
Keito keeps chatgpt cost tracking connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Attribute ChatGPT and assistant spend to client, project, and task
Recharge or report AI cost with evidence instead of estimates
Review AI cost in the same workflow as human billable hours
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What Keito adds to chatgpt 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
Per-client ChatGPT cost vs one flat bill
Keito keeps chatgpt 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 chatgpt cost tracking?
The best way to manage chatgpt 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.
Can Keito help with chatgpt cost tracking?
Yes. Keito helps with chatgpt 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.
How is Keito different from a generic timer for chatgpt cost tracking?
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 chatgpt cost tracking support billing clients for AI work?
Yes, chatgpt 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.
What should a client-ready chatgpt cost tracking report include?
A client-ready chatgpt 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.
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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 agencies, consultancies, and service teams using chatgpt or the openai assistants across multiple client engagements who need to attribute and recover that spend.
Start with Solo, add people on Pro when you need reviewers or collaborators, and see how Keito turns tracked effort into clearer reports.