See every AI agent run, its cost, and the client it served in one dashboard.
Most AI agent dashboards show model latency and call counts but never the one number leaders ask for: what did this cost, and for which client? Keito puts agent spend, project, and billing status in a single view.
ai agent dashboard 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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One view, not five tabs
A dashboard that answers the cost question, not just the uptime question
Platform dashboards from model providers are built for engineers: they show token throughput, request volume, error rates, and latency. They are useful for keeping agents healthy, but they cannot answer the question a delivery lead or finance owner actually has — which client caused this spend, and is it billable yet? When several agents serve several clients from the same account, the provider dashboard reports one aggregate bill and the team rebuilds the breakdown by hand in a spreadsheet at month end. Keito gives AI teams a dashboard built around the work, not the infrastructure. Every agent run is recorded against the client, project, and task it served, the model and tool cost is captured with it, and a review step confirms what is billable before anything reaches an invoice. The dashboard then shows spend by client, by project, and by agent, alongside the human hours on the same engagement — so one screen explains both what the agents did and what it should cost the client, instead of an uptime chart that says nothing about profitability.
See AI agent cost grouped by client, project, and individual agent
Combine agent spend with human billable hours in one engagement view
Confirm what is billable through review before it reaches an invoice
Workflow fit
Client-and-cost dashboard vs infrastructure metrics
Keito keeps ai agent dashboard connected to client, project, billable status, approval, and invoice context before the work reaches finance.
See AI agent cost grouped by client, project, and individual agent
Combine agent spend with human billable hours in one engagement view
Confirm what is billable through review before it reaches an invoice
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What Keito adds to ai agent dashboard
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
Client-and-cost dashboard vs infrastructure metrics
Keito keeps ai agent dashboard 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 dashboard?
The best way to manage AI agent dashboard 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 dashboard?
Yes. Keito helps with AI agent dashboard 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 dashboard?
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 dashboard support billing clients for AI work?
Yes, AI agent dashboard 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 dashboard report include?
A client-ready AI agent dashboard 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 founders, delivery leads, and finance owners at agencies and product teams who run ai agents for clients and need a single dashboard tying agent activity to cost and billable work.
Start with Solo, add people on Pro when you need reviewers or collaborators, and see how Keito turns tracked effort into clearer reports.