// Case Studies

Before & after

The pattern is always the same: hours of manual work → an AI workflow that just handles it.

F&B / Distribution

Illustrative example

Before: Orders arrived by WhatsApp and phone; two staff retyped them into the accounting system daily, with regular errors.
After: A WhatsApp AI agent reads incoming orders, confirms them with the customer, and enters them directly — staff only review exceptions.

~15 hours of manual entry saved per week

Healthcare

Illustrative example

Before: Front desk answered the same booking and pricing questions all day; after-hours enquiries went unanswered until morning.
After: A chatbot trained on the clinic’s services answers instantly, books appointments, and escalates medical questions to staff.

70% of enquiries handled without staff involvement

Professional Services

Illustrative example

Before: Finding a precedent or past quote meant digging through shared drives for hours.
After: A private document Q&A tool answers questions from the firm’s own files — with sources cited.

Research time cut from hours to minutes

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