Keito gives professional services teams an AI agent activity log by client and project — reviewed for billing accuracy, governance transparency, and client reporting.
Activity log view
Agent activities logged
328
Clients
9
Reviewed
301
Audit-ready
94%
Agent tasks recorded
What ran, when, for which client
Activity log reviewed
Client-attributed work confirmed
Audit trail ready
Governance evidence exported
AI agents acting on behalf of clients need activity records that support billing transparency, governance reviews, and client disclosure.
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 governance and billing
Professional services teams deploying AI agents face two questions clients increasingly ask: what did the AI do, and what did it cost? Without an activity log, both questions are difficult to answer. Keito provides a structured activity logging layer: every AI agent task is recorded against the client and project it served, reviewed for billing accuracy and client disclosure, and exported as an audit trail that supports governance, invoicing, and transparency conversations.
Record each AI agent task with client, project, and task reference so the activity log reflects real delivery work
Review the activity log before billing or client reporting to confirm accuracy and appropriate disclosure
Export reviewed AI activity records for billing evidence, governance audits, and client transparency reports
Workflow fit
Keito keeps ai agent activity logs connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Record each AI agent task with client, project, and task reference so the activity log reflects real delivery work
Review the activity log before billing or client reporting to confirm accuracy and appropriate disclosure
Export reviewed AI activity records for billing evidence, governance audits, and client transparency reports
Keito tracks AI agent actions against the specific clients and projects they serve so the activity log is a billing and governance record, not a system-level event stream.
Before AI activity records are used for billing or shared with clients, teams can review, annotate, and confirm the log entries so the output meets both billing accuracy and client disclosure standards.
Combine AI activity logs with human time records in one billing workspace so the full engagement picture — what the team did and what the AI agents did — is available from a single reviewed source.
The difference is not just recording time. It is whether the record can support billing, project decisions, and client conversations.
AI activity attribution
Per-client, per-project AI task records reviewed before billing.
Most tools produce system-level logs with no client or project attribution.
Governance readiness
Activity logs designed for client disclosure and billing accuracy.
Raw AI system logs are not structured for client-facing governance.
Combined billing evidence
AI activity and human hours together in one reviewable record.
AI and human records exist in separate systems with no combined view.
A useful AI agent activity log should record what task the agent performed, which client and project it served, when it ran, what it cost, and whether it was reviewed and approved for billing or client disclosure. Without these fields, the log is a system record, not a billing or governance tool.
When AI agents are deployed in client work, clients increasingly expect to know what the AI did and how it was supervised. An activity log per client provides the transparency needed for billing evidence, disclosure conversations, and governance requirements — especially as AI use in client delivery becomes more common.
Keito tracks AI agent activity by client and project and supports review workflows that let teams confirm, annotate, and prepare records for client disclosure. The reviewed activity data can be exported as part of billing evidence or transparency reporting.
AI agent activity logs should capture agent session context, token or compute costs, client and project attribution, human review time, and whether the cost should appear in client billing. Keito keeps AI costs and human effort together so firms can explain the full delivery picture.
A client-ready AI agent activity logs report should include the client, project, task, contributor, billable status, approval state, and a concise explanation of completed work. Keito keeps those details connected so reports can answer client questions without exposing internal delivery notes.
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.