Employee engagement and AI-assisted kiosks.
a top private bank wanted to refresh how new joiners experienced their first day. The brief: replace the printed welcome pack and standardised orientation video with something interactive — and make it scale across five city offices without putting headcount on every floor.
What a top private bank asked for.
A top private bank's HR team had spent three years iterating on their new-joiner onboarding. They had the content right — what they didn't have was a delivery format that made first-day employees feel welcomed rather than processed.
The 2024 brief asked for an AI-assisted kiosk experience in five city offices that could greet a new joiner by name, walk them through their first-day checklist, introduce the local team, and answer the kind of small questions that usually get asked at the coffee machine — but at 9 AM on day one when no one's around yet.
How we engineered the answer.
We deployed a Zlicc AI persona tuned to a top private bank's tone of voice — not corporate-formal, but warm and conversational. The persona ran on touchscreen kiosks installed at the new-joiner reception of each of the five offices, with a sealed-off knowledge base covering HR policy, IT setup, building maps, the local leadership team, and FAQs.
The kiosk recognised each new joiner via their employee ID badge on first scan and personalised the greeting ("Welcome, Aditya. Your first-day checklist is in your inbox — let me walk you through what's first"). Floor maps highlighted the joiner's seat assignment. Local leadership intros played as short pre-recorded videos; the AI handled the rest.
What happened on the day.
The first cohort hit the kiosks at the Mumbai office on a Monday in March. By week two, all five city offices were running. The activation rate (new joiners actually using the kiosk vs. walking past it) climbed from 67% in week one to 92% by week four as word spread through HR teams.
Three months in, we'd captured 1,400+ first-day interactions. The HR team used the engagement data to identify which FAQs got asked most often and update the knowledge base accordingly.
What it produced.
The metrics that mattered to a top private bank — and what they meant inside the broader engagement.
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