We build email ingestion and task automation that extracts context, classifies requests, creates work items, links evidence, and keeps human review where customer or operational risk matters.
/ workflow reality
Inboxes carry decisions, attachments, approvals, exceptions, and customer context that never made it into the official system. Automation should preserve that context while making the next action visible.
/ task design
Generated tasks are only useful if they link to owners, timelines, customers, events, attachments, and the system where the team already works. Otherwise AI just creates another inbox.
/ platform constraints
Email automation must respect OAuth scopes, mailbox quotas, push notification renewal, history cursors, attachments, retries, and privacy boundaries. The ingestion layer needs to be boring and reliable.
/ ai guardrails
AI can classify and extract tasks from email, but the workflow should show the source message, confidence, missing fields, and why a task was created. High-impact tasks should be reviewed before they move downstream.
/ questions
Yes, for scoped workflows. We use classification rules, structured outputs, review paths, and source links so the team can verify important tasks before they affect customers or operations.
Usually yes, depending on the provider and permissions. We review auth, mailbox access, labels, shared ownership, retention rules, and how the team currently assigns work from the inbox.