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Use case

Email Intake & Routing

The shared inbox is your real work-queue — unprioritized, unowned, and leaking commitments. Requests, documents, and complaints all arrive the same way and wait for a human sorter.

What can be automated in email intake & routing? With current AI and integration tooling: classification by intent and urgency; extraction of order numbers, accounts, and key facts; routing to the right queue/owner with a summary; draft responses for standard requests. What should remain under human control: sending anything customer-facing (approve-then-send); complaints, legal threats, and edge cases — routed to humans fast; commitments (dates, refunds, exceptions). Olyra implements this with confidence scoring, audit logging, and human-review gates matched to risk.

The manual reality

What this work looks like today

Who does it

Customer service, operations coordinators, dispatchers, intake teams — hours a day, every day.

Typical systems

Shared mailboxes, ticketing tools (or their absence), and every system a request eventually touches.

The cost

Measured before we touch anything: Emails handled per person-hour · First-response time · Misroute rate

What changes

What gets automated — and what stays human

Automated (with logging):

  • Classification by intent and urgency
  • Extraction of order numbers, accounts, and key facts
  • Routing to the right queue/owner with a summary
  • Draft responses for standard requests

Stays under human control:

  • Sending anything customer-facing (approve-then-send)
  • Complaints, legal threats, and edge cases — routed to humans fast
  • Commitments (dates, refunds, exceptions)
Measurement & governance

How value and risk are managed

Measure

What we baseline and track

Emails handled per person-hour · First-response time · Misroute rate · Backlog at day's end

Governance

Risks designed for

Tone and commitment control via approval gates; privacy on message content; complete audit of classification and routing decisions.

Typical implementation path: One mailbox piloted on 30 days of history, then live with human approval on all outbound. Implementation follows the Olyra 120: pilot on real historical volume, parallel run, then measured cutover.

Find out what AI can actually do for your operations.

Start with an AI Operations Audit — a fixed-scope diagnostic that maps your workflows, scores your AI readiness, and hands you a prioritized 120-day roadmap. If we don't find real opportunities, you'll know that too.

Request an AI Operations Audit → Prefer to talk first? Book a 30-minute scoping call.