Keito helps AI-native service teams connect client outcomes to the work, agent runs, model costs, and expenses required to deliver them.
Margin review
Outcome delivery tracked
$31.2k
Client work
18 projects
AI cost
$3.8k
Margin
47%
Client outcome
Support automation launch
Agent delivery
Research, build, QA, support
Profitability check
Time, LLM costs, tools
AI-native service companies need to price outcomes while still understanding delivery cost. Keito gives the operating layer that connects work, agent activity, AI spend, and invoices.
Create client projects for implementations, automations, managed workflows, and retainers so cost attribution starts with the commercial agreement.
Attach human time, agent sessions, LLM spend, tool costs, and expenses to the outcome they support.
Review the true cost of service delivery before invoices, renewals, and scope changes are discussed with clients.
AI-native services operating layer
AI-native service companies can deliver more leverage than traditional agencies, but leverage does not remove cost. Agents consume tokens, tools run workflows, people review output, and client-specific edge cases still require expert judgment. Keito gives founders and operators the cost record behind each client outcome so pricing decisions are based on the real delivery model, not a guess about how much AI work happened behind the scenes.
Track client outcomes with the work and AI costs required to deliver them
See whether fixed-fee, retainer, or usage-based work is protecting margin
Create billing evidence that explains value without exposing internal operations
Workflow fit
Keito keeps ai native service company billing connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Track client outcomes with the work and AI costs required to deliver them
See whether fixed-fee, retainer, or usage-based work is protecting margin
Create billing evidence that explains value without exposing internal operations
Keep client outcome, project, task, source, and cost context together so the business can measure what each AI-native service actually costs to deliver.
Review whether an AI-native service line is improving delivery economics or simply shifting cost from people to providers and tools.
Use detailed internal records to create simple client summaries that explain work delivered, costs recovered, and invoice lines.
The difference is not just recording time. It is whether the record can support billing, project decisions, and client conversations.
Service model
Outcome, time, AI cost, and expense tracking in one workspace
Outcome pricing separated from the delivery cost record
AI cost control
Client-level LLM and agent attribution before month end
Aggregate model bills reviewed after margin has already moved
Client reporting
Internal detail converted into client-readable billing summaries
Manual translation from dashboards and spreadsheets
Team model
Flat plans designed for people plus unlimited AI agents
Human-only seat pricing applied to AI-native operations
An AI-native service company delivers client work with AI systems as part of the operating model, not just as internal productivity tooling. Keito is useful when that work still needs client billing, project cost attribution, and margin review.
Yes. Keito can track the underlying cost of fixed-fee, retainer, and hourly engagements so the team can compare the agreed price to the human and AI cost of delivery.
Keito gives the cost attribution layer: LLM usage, agent runs, time, and expenses by client and project. Teams can use that record to decide what to pass through, mark up, or include in bundled pricing.
No. Keito is the client billing and profitability layer. It complements model observability by turning usage and delivery records into client/project cost attribution and invoice 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.