Four situations we often come across. For each one: how work gets done before, what LimeOS does, and what changes.
Quotes are written in a word processor, hours are tracked in a spreadsheet and invoices are re-keyed at the end of the month.
The accepted quote becomes a scheduled job, then an invoice, with nothing re-keyed.
No more re-keying between quote and invoice. The business owner follows each job through to payment.
Installed equipment is known to the technicians, not to the system. Service reports sit forgotten in email inboxes.
Each service call is linked to the client and the equipment, with its documents. A workflow sends an alert before each piece of equipment is due for renewal.
The history of any piece of equipment is one question away, and renewals are no longer forgotten.
Client documents are scattered across shared folders and email attachments. Invoicing is prepared from scattered notes.
Documents are filed by client and by job, with access rights. Each job is tracked through to invoicing.
Every consultant finds the right document, and no completed job goes uninvoiced.
Documents arrive by email, are renamed by hand, read and then copied into another application.
The document is filed, AI extracts the relevant information within a workflow, and the workflow then carries on with the processing.
The team no longer copies documents by hand: it checks what the AI has extracted, and every document stays filed in the right place.
Three projects carried out with clients, anonymised.
The logistics subsidiary of an automotive distribution group runs its deliveries entirely on paper. Signed delivery notes make their way back to the depot, if they come back at all, and there is no time-stamped proof to settle a dispute.
Drivers and counter staff use a mobile app that works offline: document scan, customer signature, photos of any issues noted on delivery and location at the time of signing. Everything goes straight into the platform.
Every delivery leaves time-stamped, searchable proof. A dispute is settled by pulling up the signed document, not by rummaging through an in-tray.
A family-run heating and chimney-sweeping SME with around twenty employees handles its requests by phone, in a shared spreadsheet and on a wall board. Outside opening hours, repair requests go unanswered.
An AI agent first screens out dangerous situations, identifies the equipment and the symptom, then opens a ticket in the call log. It relies solely on rules written and approved by the company, and never promises a price or a lead time.
A request received in the evening or at the weekend is no longer lost. In the morning, the team finds a qualified ticket, ready to become a scheduled service call in TimeLime.
Two managers run their properties without any tool that receives bookings from the platforms. Every booking is copied by hand for invoicing, guest messages are scattered and cleaning is arranged over instant messaging, with no proof of the property's condition.
TimeLime becomes the management software: synchronised calendars and commission calculated on amounts paid out. A knowledge base for each property feeds the welcome guide, the guest replies drafted by the agent and approved by a person, and the cleaning checklist.
Bookings are never copied by hand again. A property is only marked as ready once its photos are in, and monthly invoicing is prepared from the amounts actually paid out.
The assessment starts from how you actually work, not from an industry.
PROSuite