Autonomous Inbox
Hub71 receives thousands of inbound emails from startups, investors, and partners. This autonomous agent classifies every one on arrival, drafts a response when it's confident, escalates what it isn't sure about to the right person, and logs everything — so nothing gets buried and nothing goes undocumented.
0 layers
classify, escalate, and log — fully automated
every action logged to the CRM with a full audit trail
Classify & Respond
AI drafts responses with confidence scoring
Escalate if Uncertain
routed to the right human or system automatically
Log & Learn
every action logged; the model learns from edits
Full audit trail
nothing decided without a record
The Challenge
Hub71 receives a constant stream of inbound email from startups, investors, and partners. Manual triage was slow, responses were delayed, and high-priority inquiries were buried in a general inbox — with no audit trail and no way to learn from past decisions.
The Approach
Classify, escalate, log — every email moves through all three before a human has to go looking for it.
Classifies and drafts on arrival
Every inbound email is read and classified by intent the moment it lands — and where confidence is high, a response is drafted automatically.
Escalates anything uncertain
A decision engine routes anything the model isn't confident about to the right person or system, based on context and urgency — never guessed at.
Logs everything, learns from every edit
Every action is written to a single source of truth with a full audit trail. When a human edits a draft, the model learns from that correction.
How It Works
Classify & Respond
AI ingests, classifies, and answers with confidence scoring.
Escalate if Uncertain
Anything uncertain is routed to the right human or system.
Log & Learn
Every action is logged to the CRM; the model learns from edits.
Why It Matters
Capabilities
Related Case Studies
