The Manual Triage Problem
In most teams, someone — usually an office manager or team lead — spends the first hour of every day reading emails and forwarding them to the right person. "This support ticket goes to Sarah. This sales inquiry goes to Mike. This invoice goes to accounting."
That's 5+ hours per week of pure routing work. It's error-prone (wrong person = delayed response), it creates a bottleneck (what if the router is sick?), and it doesn't scale.
Why Rules Alone Don't Work
Most email tools offer rule-based routing: "If subject contains 'invoice', send to accounting." This works for obvious patterns but breaks on nuance:
- A customer emails about a billing dispute — is that "support" or "accounting"?
- A vendor sends a proposal — is that "procurement" or "sales"?
- An email in another language arrives — rules can't parse intent.
Rule-based systems require constant maintenance. Every new scenario needs a new rule. Miss one, and emails fall through the cracks.
How AI Routing Works in RokMail
RokMail uses a 4-tier routing engine that combines deterministic matching with AI:
- Tier 0 — Catch-all match + spam filter: Direct address matches (john@domain → alias "john") and spam detection. Fast, deterministic.
- Tier 1 — Sender route cache: If we've seen this sender before, route to the same person. 90-day TTL, self-maintaining.
- Tier 2 — Admin rules: Your custom rules, priority-ordered. For cases where you know exactly what you want.
- Tier 3 — Gemini AI fallback: For everything else, Google's Gemini AI reads the email content, understands intent, and routes to the best-matching team member.
Setting It Up
- Create your aliases (support@, sales@, billing@, etc.)
- Assign team members to each alias
- Enable AI routing in Settings
- That's it — no rules to write, no training required
The AI learns from your team structure. As it routes emails and you confirm or correct them, the sender cache (Tier 1) gets smarter over time.
Results
Teams using RokMail's AI routing report 94% accuracy out of the box, with accuracy improving over time through the sender cache. Average email response time drops by 40% because emails reach the right person immediately instead of sitting in a shared queue.