Keito helps professional services teams produce client reports that show what AI agents did, what they cost, and how the work was reviewed — with human delivery context alongside.
AI client reporting
Clients reported
6
Agent tasks
214
Reported to clients
6
Billing clarity
100%
AI work captured per client
Tasks, costs, and outcomes
Reporting reviewed
Disclosure-ready summaries
Client reports exported
AI delivery evidence shared
Clients are increasingly asking how AI was used in their engagements. Keito gives teams the reporting structure to answer that question clearly.
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 delivery transparency
The emerging standard for professional services teams using AI agents is client transparency: what tasks did the AI perform, what did it cost, was it supervised, and was it appropriate for the engagement? Many teams are using AI but have no structured way to report on it. Keito provides the reporting layer: capture AI agent work by client, review it before disclosure, and produce a delivery summary that answers client questions with evidence — not approximations.
Capture AI agent tasks by client and project so reporting is based on actual delivery records, not estimates
Review AI agent work before client reporting to ensure accuracy, appropriate disclosure, and billing consistency
Produce per-client AI delivery summaries that cover what the AI did, what it cost, and how it was used in the engagement
Workflow fit
Keito keeps ai agent client reporting connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Capture AI agent tasks by client and project so reporting is based on actual delivery records, not estimates
Review AI agent work before client reporting to ensure accuracy, appropriate disclosure, and billing consistency
Produce per-client AI delivery summaries that cover what the AI did, what it cost, and how it was used in the engagement
Keito organizes AI agent work by client and project so reporting is based on actual task records, not system-level logs. Each client report covers the AI delivery for their specific engagement.
Before AI delivery data is shared with clients, teams can review the records for accuracy, annotate for context, and confirm that the disclosure is appropriate for the engagement and client relationship.
Keito combines human time records and AI agent work in one billing workspace so client delivery reports show the full engagement picture — human expertise and AI assistance together.
The difference is not just recording time. It is whether the record can support billing, project decisions, and client conversations.
AI delivery evidence
Per-client AI task records reviewed before client disclosure.
Teams rely on system-level AI logs with no client context or review step.
Transparency standard
Structured reporting on what AI did, what it cost, and how it was supervised.
AI use is disclosed informally or not at all in client engagements.
Combined reporting
Human and AI delivery in one reviewed client report.
Human and AI records exist separately with no integrated client view.
Increasingly yes. Many clients now expect transparency about whether and how AI was used in their engagement — what tasks it performed, what it cost, and how it was supervised. A structured AI delivery report per client makes this transparency credible and consistent.
A useful AI agent client report should cover which AI tools were used, which specific tasks they performed for the client, the associated costs, how the AI work was reviewed and supervised, and how it relates to the overall project delivery and billing.
Keito organizes all delivery records — human time and AI agent work — by client and project. Teams can produce combined reports that show both, or filter to AI-only records for specific client disclosure conversations.
AI agent client reporting 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 client reporting 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, Windows, 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.
Flat workspace price for 1 licensed user
Team collaboration
For teams that need shared workspaces, approvals, and team-level project visibility.
Flat workspace price with no per-user fees
Advanced operations
For organizations that need integrations, planning, advanced reporting, and stronger controls.
Flat workspace price with no per-user fees
Optional Business add-on: Microsoft Entra SSO.
View add-on and pricingAI 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.