Report AI agent work to clients. Not just a token bill.
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.
Clients are increasingly asking how AI was used in their engagements. Keito gives teams the reporting structure to answer that question clearly.
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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AI delivery transparency
Move from "we used AI" to "here is what it did and what it cost"
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
AI delivery evidence
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
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What Keito adds to ai agent client reporting
Per-client AI delivery reporting
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.
Client-specific AI activity records
Task and cost breakdown per engagement
Reviewable before client disclosure
Review before disclosure
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.
Review step before client-facing reports
Annotation for disclosure context
Billing accuracy check alongside human hours
Combined human and AI delivery reports
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.
Human and AI delivery in one report
Combined billing evidence per client
Exportable format for client presentation
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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
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.
Should professional services firms report AI agent use to clients?
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.
What should an AI agent client report include?
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.
Can Keito produce separate AI and human delivery reports?
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.
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Start solo.
Add people when you need them.
Solo is built for one human owner and unlimited AI agents. Pro adds human teammates. Business adds integrations, exports, and online invoice payments.
Solo
One human owner
For independent consultants, freelancers, and small studios running work with AI agents.