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CASE STUDIES
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2026
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DLR Studio
AI Inbox Assistant × DLR Studio
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OVERVIEW
After GearHub, DLR’s next time sink was the inbox: rental inquiries, scheduling, routine questions, each one small, together a daily tax. Kairologic built an AI triage assistant that reads incoming mail, classifies it, and drafts responses, with a human approval step in front of anything that matters. The AI does the reading and the typing; a person keeps the judgment.
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CHALLENGES
Every message required the same first five minutes: open, read, figure out what it is, find the standard answer, type it again. None of it was hard; all of it interrupted real work. Fully automatic replies were never on the table, a studio’s reputation lives in its email, so the system had to be fast and supervised.
How do we answer faster without letting a robot speak for us?
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SOLUTIONS
Incoming mail automatically classified by type and urgency.
Draft replies generated for routine categories in the studio’s voice.
Human approval required before every meaningful send, the AI proposes, a person disposes.
Edge cases and unusual messages routed directly to a human without modification.
Early real-world failure modes identified and patched in production, which is what maintenance retainers are for.
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WORK WITH US
The Future Is Automated: So, Let's Build Yours
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