Streamtime runs creative studios from the plan: jobs set up with rates and planned profit, drag-and-drop to-dos that log time without traditional timesheets, quotes and invoices generated from job plans, and invoices copied one-click to Xero, QuickBooks, or MYOB AccountRight. Keito deliberately is not a job backbone. It is the reviewed time layer: AI-drafted hours confirmed by the people who did the work, AI tool costs on the same client record, and clean invoice evidence for whichever planning and accounting stack the studio keeps.
Illustrative review queue
Illustrative billing period
Hours evidenced
Entries confirmed
151
AI tool costs
$364
Clients billed
10
Studio hours tied to client and job
Client, job, and billable status confirmed on entry
Model and tool costs beside the hours
Approved AI costs on the same client and job
Evidence behind the invoices the studio raises
Approved records back whichever system sends the bill
Streamtime publishes a full studio backbone for creative businesses: job planning with rates and planned profit, drag-and-drop time and scheduling without traditional timesheets, kanban boards, quotes and invoices generated from job plans, utilisation and profitability reporting, and one-click copy of invoices to Xero, QuickBooks, or MYOB AccountRight. Keito answers a narrower question — where do reviewed, client-ready hours and AI costs come from — and leaves the backbone decision alone.
Set up clients, jobs, rates, reviewers, and billing periods in Keito in days — while Streamtime, spreadsheets, or whatever plans the studio’s week keeps doing exactly that.
Keito drafts time entries from the work that actually happened alongside typed, timed, API, CLI, and agent-sourced records, so designers, writers, and strategists confirm and correct instead of tidying the week up after the fact.
Reviewers settle billable status, rate questions, and write-downs, attach approved AI tool and model costs to the same client and job, and pass approved invoice evidence to whichever system turns the studio’s work into bills.
A plan-led backbone vs a reviewed time layer
Streamtime is published as project management for creative businesses — agencies, design studios, in-house teams, and architects: jobs set up with rates, teams, timelines, and planned profit; time planned and logged with drag-and-drop ease rather than traditional timesheets; team scheduling with real availability; kanban boards; quotes and invoices generated from job plans with expenses rolled in; utilisation, profitability, and cost-recovery reporting; wellbeing check-ins; an iOS app; and native integrations that copy invoices one-click to Xero, QuickBooks, or MYOB AccountRight — with expenses, purchase orders, and credit notes to Xero — plus Zapier and a public REST API. None of that should be read as missing capability: for a studio that wants planning, quoting, and invoicing running from one plan-led board, it is exactly what it says it is. But that is also why evaluating it — or leaving it — is a backbone decision: the job plans feed the schedule, the time log, the quotes, the invoices, and the reports, so the studio’s whole operating rhythm moves together. Keito’s argument is that most of what sends a studio looking for a Streamtime alternative is narrower than that. Hours that never made it onto anyone’s board, billable work done off-plan, AI tool spend invisible to the invoice — that is an evidence problem, not a backbone problem. Keito drafts time entries from the work that actually happened — alongside typed, timed, API, CLI, and agent-sourced records — routes every hour and approved AI tool cost through review, and hands invoice evidence to whatever plans the jobs and raises the bills today. The boundary is deliberate: Keito is not a job-management platform — it has no planning board, schedule, kanban, quoting, or invoice generation — and it claims no native Streamtime integration, automatic import, or synchronisation.
Choose Streamtime when the studio wants job planning, scheduling, quoting, invoicing, and profitability reporting running from one plan-led backbone, with invoices copied to the accounting package the finance team runs
Choose Keito when the problem is the evidence behind the hours — capture, review, and AI delivery costs — and the backbone should stay where it is
Prove it in one billing cycle: Keito runs alongside whatever the studio uses today
Workflow fit
Keito keeps Streamtime alternative connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Choose Streamtime when the studio wants job planning, scheduling, quoting, invoicing, and profitability reporting running from one plan-led backbone, with invoices copied to the accounting package the finance team runs
Choose Keito when the problem is the evidence behind the hours — capture, review, and AI delivery costs — and the backbone should stay where it is
Prove it in one billing cycle: Keito runs alongside whatever the studio uses today
Keito drafts entries from the work that happened; designers, writers, strategists, and developers confirm and correct rather than tidying the board up before the billing run.
Image models, copy assistants, and agent runs are part of studio delivery now. Keito records approved AI tool and model costs against the same client and job as the team’s hours, so invoices reflect the real cost of the work.
Reviewers settle billable status, rate context, and write-down decisions before the period closes, then hand approved invoice evidence to the studio’s invoicing process — whether invoices keep coming from job plans or from the accounting package behind them — through exports or API handoffs the team designs and tests itself.
The difference is not just recording time. It is whether the record can support billing, project decisions, and client conversations.
Product shape
A standalone workspace for reviewed billable time, AI tool and agent costs, billing decisions, and invoice evidence.
Streamtime is published as project management for creative businesses — job planning, time tracking and scheduling, kanban, quoting and invoicing, reporting, and team wellbeing in one platform.
How hours are captured
AI drafts entries from the work that happened; the person who did the work confirms them, and reviewers approve before invoicing.
Streamtime publishes drag-and-drop planning and logging where time is tracked without traditional timesheets, plus an iOS app for time tracking anywhere.
Where invoices come from
Wherever they come from today — Keito is not an invoicing system and hands reviewed evidence to whichever system raises the bill.
Streamtime publishes quotes and invoices generated from job plans, with one-click copy of invoices to Xero, QuickBooks, or MYOB AccountRight and expenses, purchase orders, and credit notes to Xero.
AI delivery costs
Approved AI tool, model, and agent costs recorded beside the hours on the same client and job.
Published Streamtime capabilities centre on job planning, scheduling, quoting, invoicing, profitability reporting, and team wellbeing rather than AI tool or agent cost attribution.
Pricing and adoption
Published flat team pricing and a setup measured in days, run alongside the current stack.
Streamtime publishes custom fixed-price plans scaled to usage rather than per-user tiers, with unlimited freelancers included and figures provided by quote.
Data movement
Team-designed, tested exports and API handoffs moved in deliberate stages.
No native Streamtime import, automatic synchronisation, or automatic reconciliation is assumed in either direction; Streamtime’s published Zapier connection and public REST API belong to its own stack.
It is software a creative studio adopts instead of — or alongside — Streamtime’s plan-led job backbone. Because Streamtime spans job planning, scheduling, time logging, quoting, invoicing, and profitability reporting, an alternative rarely replaces all of it at once. Keito is the alternative for the time side specifically: AI-drafted hours confirmed by the people who did the work, approved AI tool costs on the same client record, and reviewed invoice evidence handed to whichever system plans the jobs and raises the bills.
Where the record starts is the difference. Streamtime publishes a plan-led model: jobs are set up with rates and planned profit, time is planned and logged with drag-and-drop ease rather than traditional timesheets, and quotes, invoices, and reports flow from those job plans. Keito starts from the other end — entries are drafted by AI from real work signals — typed, timed, API, CLI, and agent-sourced — confirmed by the person who did the work, and approved with AI tool and model costs before anything becomes invoice evidence. Work that never made it onto anyone’s board still shows up as a drafted entry for review.
Choose Streamtime when the studio wants one plan-led platform running the week: job planning with rates, teams, timelines, and planned profit, drag-and-drop scheduling with real availability, kanban boards, quotes and invoices generated from job plans, utilisation and profitability reporting, wellbeing check-ins, and one-click copy of invoices to Xero, QuickBooks, or MYOB AccountRight. Keito does not reproduce any of that backbone: no planning board, schedule, kanban, quoting, or invoice generation. It is the wrong choice if the studio’s immediate goal is a new job-management platform.
In stages, and usually only for the time side. Stand up clients, jobs, rates, reviewers, and billing periods in Keito and run one billing cycle in parallel to prove the drafted-and-reviewed record. Job history, quotes, and invoices raised from Streamtime stay where they are, and because Streamtime copies invoices to Xero, QuickBooks, or MYOB AccountRight, the financial record already lives in the accounting package the studio keeps. Any transfer of reference data happens through exports the team designs and tests itself; there is no automatic import.
Each reviewed record keeps the client, job, contributor, duration, description, billable status, rate context, reviewer, approval state, write-down decision, and billing period, with approved AI tool and model costs attributed to the same client and job as the hours. That package backs the invoices the studio raises — whether they are generated from job plans in Streamtime and copied to the accounting package, or raised somewhere else entirely — and gives account leads a reviewed answer when a client questions a line.
No. Keito claims no native Streamtime integration, automatic import, activity ingestion, or two-way synchronisation — Streamtime’s own published integrations are its one-click invoice copy to Xero, QuickBooks, and MYOB AccountRight, its Zapier connection, and its public REST API, and those belong to Streamtime’s stack, not Keito’s. Capture in Keito is its own workflow: AI-drafted, typed, timed, API, CLI, and agent-sourced entries that pass review before becoming invoice evidence. A studio can keep Streamtime as its job backbone and run Keito alongside as the reviewed time layer, with any transfer between them designed and tested by the team.
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.