Read the request
Ani reads supported email and attachment formats. Unreadable or ambiguous requests need a person rather than a guessed booking.
A request in an inbox is only the beginning. Bring the source, the proposed shifts and the cover still needed into one reviewable workflow.
When clients send changes across emails and attachments, the work is deciding what they need, where it belongs and what still needs checking. Ani reads supported requests into proposals, keeping the source available for review.
Illustrative workflow, not live customer data.
An example of the connected workflow. Enabled actions and approval requirements are agreed during setup.
Ani reads supported email and attachment formats. Unreadable or ambiguous requests need a person rather than a guessed booking.
Your team checks the site, dates, times and positions against the source and decides what to approve or correct.
The enabled workflow supports cover offers and replies, with availability and licence context to support your team’s decision.
Review the shifts and assignments in Saltilo and what remains outstanding. A drafted shift or an offer is not proof that somebody will attend.
Scheduling is part of the Saltilo platform. We confirm formats, permissions and supported booking actions during setup. Saltilo does not promise to read every document format or fill every shift.
Review security and responsibilitiesScheduling is part of the same Saltilo platform as attendance, welfare and screening. The walkthrough follows a request through proposed shifts, review and cover, then we agree the workflow for your evaluation.
An unclear or unreadable request needs human review. It should not become an assumed booking. The walkthrough shows how your team handles that exception.
No. An offer, an acceptance and attendance are different records. Your team can review what has happened and what still needs follow-up.
Start with your operation and see where Ani can help, set up with our team around the work you want to improve.
Bring the process you want to improve. We will use fictional examples to show the workflow, confirm supported connections and agree the scope of an assisted evaluation.