otonit

Case studies

Illustrative examples of the work we do — composite scenarios, not real client data.

Local service businesses

Example scenario

Problem: Enquiries from the website, WhatsApp and email landed after hours and sat untouched until morning — and by then many had already called someone else.
What we built: A 24/7 intake assistant that reads every channel, replies in seconds, qualifies the job and books a callback.
Outcome: Every enquiry answered instantly, day or night — far fewer leads lost to whoever picked up first.

Automations that fit

Example scenario

Problem: The same questions about order status, sizes and returns flooded the inbox daily, and the team spent its day copy-pasting answers instead of selling.
What we built: A support assistant that answers the routine questions, pulls live order status from the shop and escalates only the tricky cases — with full context.
Outcome: Routine tickets handled instantly, so the team finally spent its time on the cases that actually need a person.

Automations that fit

Example scenario

Problem: Quotes were typed by hand from scattered notes and often went out a day or two late — long enough for the customer to accept someone faster.
What we built: An assistant that collects the request, drafts a structured quote from your templates and sends it the same day for a quick review.
Outcome: Quotes go out same-day instead of days later — fewer jobs lost to whoever replied first.

Automations that fit

Example scenario

Problem: No-shows and endless back-and-forth on times ate hours every week, and reminders only went out when someone remembered to send them.
What we built: An assistant that books and reschedules appointments, sends automatic reminders and fills cancellations from a waitlist.
Outcome: Noticeably fewer no-shows and a calendar that stays full — without anyone chasing it by phone.

Automations that fit

Example scenario

Problem: Leads from portals and ads came in half-complete and were followed up whenever someone had a free minute — so paid leads went cold.
What we built: An intake assistant that qualifies every enquiry in minutes, books viewings into the calendar and keeps the CRM up to date automatically.
Outcome: Every paid lead answered and qualified in minutes — the ad spend finally turns into booked viewings.

Automations that fit

Example scenario

Problem: Customer details lived in inboxes, spreadsheets and notes — nobody trusted the CRM, and follow-ups slipped through the cracks.
What we built: Workflows that capture every enquiry into one CRM, enrich it and trigger the right follow-up automatically.
Outcome: One source of truth the team actually trusts — and follow-ups that no longer depend on someone remembering.

Automations that fit

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