The challenge
The real bottleneck was finding the right context quickly. Before anyone could answer, most requests needed four checks.
An invoice, the minutes of a meeting, a regulation or a notice, somewhere in Drive.
Earlier threads with the same sender, to know what was already said.
From partial references: an address, a unit number, an internal code.
A professional answer, without missing details or making assumptions.
The assistant at work
Pick a typical request and watch the assistant find the context and prepare a reply. The team always has the last word.
Example scenarios. Names, addresses and documents are invented.
Example scenarios. Names, addresses and documents are invented.
How it is built
A human-in-the-loop assistant built on Google Workspace and an LLM (Gemini / Vertex AI).
Reads incoming messages, classifies them and saves reply drafts.
Searches and reads the right files, even across non-linear folder structures.
Recognises addresses, invoice numbers, building names and key references.
Newsletters, promotions and no-reply sources are excluded.
No rigid spreadsheets: it searches directly where the information already is.
Emails are never sent automatically. The team reviews, edits and approves every draft.
Results
The assistant became a practical everyday tool: it finds the context and prepares replies ready for review.
A significant reduction in manual search time.
More consistent and professional communication.
Confirmation prompts when information is incomplete.
The same workflow works across multiple condominiums and folder structures.
More case studies from our portfolio.
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Read the case →The services behind projects like this one.
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