Track AI prompt spend by the projects that actually used the prompts.
Prompts are billable assets. Keito gives engineering and AI teams a place to attribute prompt usage and cost to specific client engagements — not just to a monthly API invoice.
AI prompt 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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Prompt cost attribution
Attribute prompt spend to the client projects that benefited from each prompt
Prompts have become real engineering artifacts — shared prompt libraries, project-specific prompt sets, and per-task prompt iterations now sit at the heart of AI-assisted delivery. They also generate real cost: tokens consumed when prompts are called, time spent crafting and tuning prompts, and infrastructure overhead for prompt versioning and storage. When an AI consultancy or in-house AI team serves multiple clients with overlapping prompt libraries, the cost picture gets blurry fast. Generic LLM bills do not distinguish between prompts used for Client A and prompts used for Client B; a flat monthly cost obscures which engagements actually drove the spend. Keito offers a structured place to attribute prompt usage and cost to client engagements. Engineering teams log AI-assisted time against client and project, tag entries with the prompt library or set used, and review attributable prompt costs alongside human hours. Project leads see the full cost of AI-assisted delivery — token spend, prompt-engineering hours, and shared library overhead — and can decide how much should appear in client billing or just internal margin review.
Attribute prompt usage and cost to specific client projects
Track AI-assisted time alongside the prompt sets used
Include attributable prompt spend in margin and billing summaries
Workflow fit
Prompt cost attribution
Keito keeps AI prompt cost tracking connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Attribute prompt usage and cost to specific client projects
Track AI-assisted time alongside the prompt sets used
Include attributable prompt spend in margin and billing summaries
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What Keito adds to AI prompt 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
Prompt cost attribution
Keito keeps AI prompt 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 prompt cost tracking?
The best way to manage AI prompt 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 AI prompt cost tracking?
Yes. Keito helps with AI prompt 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 AI prompt 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 AI prompt cost tracking support billing clients for AI work?
Yes, AI prompt 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 AI prompt cost tracking report include?
A client-ready AI prompt 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 engineering teams, ai consultancies, and product studios that use shared prompts across client projects and need cost attribution for billing or margin reviews.
Start with Solo, add people on Pro when you need reviewers or collaborators, and see how Keito turns tracked effort into clearer reports.