Keito is a standalone workspace where billable hours, AI-assisted delivery costs, write-down decisions, and invoice evidence are reviewed together — on flat team pricing published on the website, not provided after a sales conversation about a full professional services automation suite.
Illustrative review queue
Illustrative billing cycle
Ready to invoice
Entries reviewed
214
Write-downs decided
9
Engagements cleared
12
Project and advisory time attributed
Client and engagement context confirmed on entry
Billable-status calls settled
Out-of-scope and write-down decisions made before invoicing
Evidence released
Approved record handed to the team’s invoicing process
Autotask, from Datto, part of Kaseya, is published as AI-powered professional services automation for IT businesses: a service desk with endpoint integration, project management, CRM, contract and expense tracking, automatic billing and invoicing, pre-built reporting, and more than 170 integrations reaching into RMM, backup, and IT documentation. Its documentation describes time entered on tickets and tasks flowing onto period-based electronic timesheets with submission and multi-level approval before billing items are posted and invoiced. Keito asks a different, narrower question: how quickly can a team see what its reviewed billing record costs — and start running it?
Keito’s flat team pricing is published on the website, so the team can scope clients, engagements, contributors, rates, reviewers, and billing periods without a pricing request, a demo cycle, or a commitment to a wider platform.
AI-drafted and manually recorded entries queue for review, where thin descriptions, out-of-scope calls, rate questions, AI-assisted delivery costs, and write-down decisions get settled before the invoice hardens.
Reviewed hours, costs, and decisions move to the team’s invoicing process through an export or API handoff the team designs and tests itself — Keito assumes no automatic Autotask import or synchronisation.
Suite procurement and a billing record are different decisions
Autotask is published as the professional services automation pillar of a wider Datto and Kaseya toolset: an AI-powered, cloud-based platform whose marketed scope covers a service desk that resolves tickets with endpoint integration, project management, CRM, contract and expense tracking, billing that promises to invoice automatically and bill precisely, pre-built reports, and more than 170 integrations including RMM, backup, and IT documentation. Its time model is documented in the same integrated spirit: every user records time on an electronic timesheet run on set periods, time entered on tickets and tasks appears on that timesheet automatically, work types categorise customer-facing time, and designated approvers — up to three levels of them — approve or reject submitted timesheets before billing items are approved, posted, and invoiced. Buyers should not treat Autotask as software missing time tracking, timesheets, approvals, or billing; all of it is published, documented capability. The procurement path is the difference: Autotask’s public site provides pricing through a request form and demo process rather than a published price list, which fits a considered platform decision. Keito starts from the opposite end. It is a standalone workspace for the reviewed record behind the invoice — AI-drafted and manually recorded entries, approved AI-agent and model costs, client and engagement attribution, billable status, rate context, write-down decisions, approvals, and invoice evidence — on flat team pricing published openly, adopted without a quote cycle or a platform migration. That suits teams whose billable work is not anchored to a service desk — projects, advisory, strategy, AI-assisted delivery — and teams that want to evaluate the billing record itself, at a knowable price, before anything else changes. The boundary is deliberate: Keito is not a PSA and does not reproduce Autotask’s ticketing, endpoint and RMM integrations, CRM, contract engine, or client portal, and it claims no native Autotask integration, automatic import, or synchronisation. Before moving live time capture, fix system ownership, test representative exports or API handoffs, preserve historical records under the team’s retention policy, and agree rollback steps.
Keep Autotask when the team wants tickets, projects, CRM, contracts, billing, and time tracking administered inside one integrated PSA connected to its RMM and backup stack
Choose Keito when the reviewed record of human and AI-assisted billable work should be adopted self-serve at a published flat price
Agree ownership, retention, tested handoffs, and rollback in writing before live capture moves anywhere
Workflow fit
Keito keeps Autotask time tracking alternative connected to client, project, billable status, approval, and invoice context before the work reaches finance.
Keep Autotask when the team wants tickets, projects, CRM, contracts, billing, and time tracking administered inside one integrated PSA connected to its RMM and backup stack
Choose Keito when the reviewed record of human and AI-assisted billable work should be adopted self-serve at a published flat price
Agree ownership, retention, tested handoffs, and rollback in writing before live capture moves anywhere
Keito drafts time entries with AI from the work that actually happened and accepts typed, timed, API, CLI, and agent-sourced records, each carrying client, engagement, duration, description, and billable status into the same review queue.
Reviewers settle thin descriptions, out-of-scope calls, rate queries, and write-down decisions in one queue, so every line the client eventually sees has an owner and an explanation that survives the billing period.
Approved AI-agent and model costs are recorded against the same client and engagement as the team’s hours, producing one delivery record per engagement — without implying any automatic activity feed from Autotask or another platform.
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-assisted delivery costs, billing decisions, and invoice evidence.
Autotask is published as AI-powered PSA from Datto, part of Kaseya: service desk, projects, CRM, contracts, billing and invoicing, reporting, and 170+ integrations.
How time is captured
AI-drafted, typed, timed, and agent-sourced entries that carry client and engagement context from the start, with nothing invoiced until a reviewer signs it off.
Autotask documents time entered on tickets and tasks flowing onto period-based electronic timesheets, with work types, submission, and up to three approval levels before billing items are posted and invoiced.
How it is bought
Flat-rate team plans published on the website, adopted self-serve without a quote cycle.
Autotask’s public site provides pricing through a request form and demo process rather than a published price list, so teams budget after a sales conversation.
Data movement
Team-designed, tested exports and API handoffs moved in deliberate stages.
No native Autotask import, automatic synchronisation, or automatic reconciliation is assumed in either direction.
It is a different home for the team’s billable-time record than a professional services automation suite. Keito is one such alternative: a standalone workspace where billable hours, approved AI-assisted work costs, write-down decisions, and invoice evidence are reviewed together before anything is invoiced — adopted at a published flat team price rather than through a PSA platform purchase.
They are different shapes of product bought in different ways. Autotask, from Datto, part of Kaseya, is published as AI-powered professional services automation whose scope covers a service desk, project management, CRM, contract and expense tracking, automatic billing and invoicing, reporting, and 170-plus integrations, with pricing provided through a request process. Keito is only the reviewed record behind the invoice — captured hours, AI-assisted delivery costs, write-down decisions, and invoice evidence — on flat team pricing published openly.
Stay with Autotask when the priority is running IT service delivery — tickets with endpoint integration, projects, CRM, contracts, and billing — inside one PSA that connects to the team’s RMM, backup, and documentation stack. Keito covers a narrower reviewed-billing workflow and is not a PSA, so it is the wrong choice if the team is really shopping for service management or the wider Datto and Kaseya toolset.
It involves a staged move the team controls end to end: map clients, engagements, people, rates, reviewers, and billing cutoffs; pilot a representative group of clients; reconcile complete billing periods against the existing process; and retain historical Autotask records under the team’s retention policy. Keito does not offer a one-click or lossless Autotask migration, so every export or handoff should be tested before live capture changes.
Each reviewed record keeps the client, engagement, contributor, duration, description, billable status, rate context, reviewer, approval state, write-down decision, and billing period, with approved AI-agent and model costs attributed to the same engagement as the human hours. Ticket histories, contract terms, and service-desk metrics are not part of this — they stay in the team’s PSA and accounting systems.
No. Keito claims no native Autotask integration, automatic import, activity ingestion, or two-way synchronisation. Capture in Keito is its own workflow — AI-drafted, typed, timed, API, CLI, and agent-sourced entries that pass review before becoming invoice evidence — and the team designs, tests, and approves any transfer between Keito, Autotask, its invoicing process, and its accounts. A team can keep Autotask for tickets, contracts, and its integration stack and run Keito alongside it as the billing-review record for project and advisory work.
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