Work arrives through a process
Manual assignments, schedules and approved events enter durable, visible workflows—not an open-ended loop.
LatentCrew deploys managed AI workers into defined business roles—with approved knowledge, scoped tools, human approvals and measurable work outcomes.
Sample data demonstrates the planned experience. It is not customer activity or a readiness claim.
Each AI worker arrives with a job charter, approved sources, typed tools, action limits, evaluation cases and a clear human escalation path.
Manual assignments, schedules and approved events enter durable, visible workflows—not an open-ended loop.
Policies decide what the worker can read, propose or execute. Consequential actions require an authorised person.
Outputs carry sources, versions, decision history and external receipts where a system action is involved.
LatentCrew shows each person the decisions they own—without giving everyone the same power or noise.
A business view of accepted outcomes, capacity, exceptions and allowance without model-level noise.
Every role publishes what it includes, what it cannot do and what your team must provide.
View the full role catalogueTurns approved business material into structured, reviewable documents and repeatable administrative work.
Handles bounded service conversations using approved knowledge, with human takeover and opt-out built in.
Creates source-grounded content drafts and manages approved publishing workflows without unreviewed claims.
Coordinates internal work, ownership, dependencies and dates while surfacing conflicts and keeping external commitments human-owned.
Prepares evidence-led account coordination, status updates and response drafts without making commercial concessions.
Prepares lawful, source-attributed outreach work with consent, suppression, geography and frequency controls.
Organises applications and prepares criteria-linked evidence summaries while employment decisions stay with named people.
Prepares source-linked reconciliations and draft bookkeeping packages under maker-checker separation.
A planned role for repository-scoped implementation, tests and change proposals under software delivery controls.
A future evidence-synthesis role for source-attributed research, uncertainty reporting and decision support.
This is a managed implementation, especially at launch. We qualify the job, prove it with your examples and only then expand authority.
See the first roleOutcome, volume, systems, exclusions, baseline and human owner.
Sources and tools receive explicit scope, ownership and retention.
Sandbox, representative cases, adversarial tests and customer UAT.
Limited volume, approvals, sampling and visible exceptions.
Quality, cost, risk and outcome data decide the next level of autonomy.
Actions are classified by impact. Risk can move up automatically; it never moves down without policy.
Explore the first role and then walk through the employer experience with the sample workspace.