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 cost review
Prompt billing
$4.6k
Active work
24
Reviewed
91%
Ready to bill
$18.4k
Time captured with context
AI prompt cost tracking
Billing review complete
Client and project checked
Invoice evidence ready
Approved summary prepared
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.
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.
Prompt cost attribution
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
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
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.
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.
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 prompt cost tracking is not separated from the approval and invoice context it needs.
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 prompt cost tracking needs to support billing, profitability, and client reporting rather than just attendance.
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.
Solo is built for one human owner and unlimited AI agents. Pro adds human teammates. Business adds integrations, exports, and online invoice payments.
One human owner
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, exports, online payments, and stronger controls.
AI agents do not count as human seats on any plan.
Solo, Pro, and Business can use API keys for agent workflows.
Stripe payments, exports, Xero, and QuickBooks are on Business.
Start with Solo, add people on Pro when you need reviewers or collaborators, and see how Keito turns tracked effort into clearer reports.