GitHub Copilot accelerates engineering delivery, but the subscription and compute cost needs to belong to a client. Keito helps teams attribute AI coding assistant usage to the projects it serves.
AI cost review
Copilot billing
$4.8k
Active work
24
Reviewed
91%
Ready to bill
$18.4k
Time captured with context
GitHub Copilot usage tracking for billing
Billing review complete
Client and project checked
Invoice evidence ready
Approved summary prepared
GitHub Copilot usage tracking for billing 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.
AI coding cost attribution
GitHub Copilot is a team-level subscription, but the acceleration it delivers is not evenly distributed across projects. A development team might use Copilot heavily on one client engagement while barely touching it on another, yet the cost hits a single company-wide invoice. When clients are billed for engineering work, the AI tooling cost that accelerated that work deserves attribution too. Keito gives engineering teams the ability to log Copilot-assisted delivery against specific client projects, track AI tooling costs alongside human billable hours, and include the combined cost in billing conversations where transparency about AI use is part of the client relationship.
Track Copilot-assisted engineering work alongside human hours per client
Attribute AI coding assistant costs to specific client projects
Include AI tooling spend in billing evidence and project profitability reviews
Workflow fit
Keito keeps GitHub Copilot usage tracking for billing connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Track Copilot-assisted engineering work alongside human hours per client
Attribute AI coding assistant costs to specific client projects
Include AI tooling spend in billing evidence and project profitability reviews
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.
AI coding assistant cost attribution
Keito keeps GitHub Copilot usage tracking for billing 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 GitHub Copilot usage tracking for billing 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 GitHub Copilot usage tracking for billing 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.