Know the real margin on every AI-delivered engagement.
Selling AI work at a flat fee feels efficient until the model bill arrives. Keito sets agent and model cost against the revenue from each client and project so profitability is a number you can see, not a hope.
ai agent profitability 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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Margin, not just cost
AI work can look busy and still lose money
When AI agents do part of the delivery, the economics of a client engagement quietly change. A fixed fee that was healthy when people did the work can turn thin once you add the model and tool spend the agents consume — and because that spend lands on an aggregate platform bill, nobody sees the erosion until the quarter looks worse than expected. Cost tracking alone is not enough; profitability is cost set against revenue, per client, including both human hours and agent spend. Keito brings the two halves together. Agent runs and model costs are captured against the client and project that drove them, human hours are logged the same way, and both are compared with what the client was billed. The result is a real margin figure per engagement: which AI clients are genuinely profitable, which look productive but lose money once model spend is counted, and where a flat fee needs to become usage-based. Instead of finding out at year end, owners see profitability as engagements run, and can reprice, cap agent usage, or change scope while it still matters.
Set agent, model, and human cost against revenue for a true margin
Spot AI engagements that look busy but lose money
Decide where to reprice flat fees as usage-based before the quarter closes
Workflow fit
Margin per client vs cost tracking alone
Keito keeps ai agent profitability connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Set agent, model, and human cost against revenue for a true margin
Spot AI engagements that look busy but lose money
Decide where to reprice flat fees as usage-based before the quarter closes
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What Keito adds to ai agent profitability
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
04
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
Margin per client vs cost tracking alone
Keito keeps ai agent profitability 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 profitability?
The best way to manage AI agent profitability 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 profitability?
Yes. Keito helps with AI agent profitability 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 profitability?
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 profitability support billing clients for AI work?
Yes, AI agent profitability 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 profitability report include?
A client-ready AI agent profitability 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 agency and consultancy owners delivering ai-assisted work who need to know the true margin on each client after agent, model, and human cost.
Start with Solo, add people on Pro when you need reviewers or collaborators, and see how Keito turns tracked effort into clearer reports.