Keito attributes GLM-4 model spend and the human effort around it to the engagement served, so AI-assisted delivery is reviewed before it reaches an invoice.
Project allocation
Inference cost reviewed
$920
Active work
24
Reviewed
91%
Ready to bill
$18.4k
Time captured with context
GLM-4 cost tracking
Billing review complete
Client and project checked
Invoice evidence ready
Approved summary prepared
GLM-4 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.
GLM-4 cost allocation
Teams often choose a model per task, switching between providers for language coverage, latency, quality, or price. That flexibility creates a billing problem when GLM-4 usage is mixed with other model spend and the invoice carries no record of which engagement benefited. Keito keeps the attribution decision close to delivery: the model cost is recorded against the client project, the engineer or reviewer logs the work needed to shape and verify the output, and a manager decides what belongs in the billing summary. The result is not a raw token statement. It is a reviewed record that explains the total effort behind the client outcome and lets the firm compare project margin across different model choices.
Assign GLM-4 usage costs to the right client engagement
Record expert review time alongside inference spend
Compare full AI-assisted delivery cost before billing
Workflow fit
Keito keeps GLM-4 cost tracking connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Assign GLM-4 usage costs to the right client engagement
Record expert review time alongside inference spend
Compare full AI-assisted delivery cost before billing
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.
Reviewed project cost vs mixed model-provider spend
Keito keeps GLM-4 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.
GLM-4 cost tracking covers model usage assigned to a client project plus the human time spent preparing inputs, supervising runs, and reviewing outputs. Keito keeps both parts in the same delivery-cost record.
No. Teams can use Keito as the project attribution and billing layer for GLM-4 costs without a native integration, recording the relevant cost and human effort against the engagement that used them.
Split shared GLM-4 spend using a documented measure the team can apply consistently, such as project-specific usage records or attributable run costs. Keito stores the allocation with client and project context so a reviewer can approve it.
Keito connects GLM-4 cost entries to client work, human time, billable status, approvals, and reporting. A spreadsheet can total spend, but it usually leaves delivery evidence and invoice decisions in separate systems.
A GLM-4 client billing report should show the engagement served, the work purpose, attributable cost, related human review, and approved billing treatment. Keito keeps that summary client-ready without exposing internal prompts or unnecessary technical detail.
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.
1 licensed user
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, planning, advanced reporting, and stronger controls.
AI agents do not require licenses on any plan.
Solo, Pro, and Business can use API keys for agent workflows.
Solo, Pro, and Business include standard CSV and Excel data export.
Start with Solo, add people on Pro when you need reviewers or collaborators, and see how Keito turns tracked effort into clearer reports.