Inbox triage
Sort urgent messages, prepare drafts, find source-backed answers, and create follow-up tasks from real customer conversations.
Manor AI helps small teams automate repeatable work with agents that use trusted sources, run scheduled workflows, keep logs visible, and ask for approval when risk appears.
Manor AI helps small businesses automate repeatable workflows by letting agents inspect trusted sources, prepare drafts or reports, schedule recurring work, request human approval, and keep activity logs visible.
Sort urgent messages, prepare drafts, find source-backed answers, and create follow-up tasks from real customer conversations.
Summarize leads, support issues, open tasks, customer themes, invoices, and other operational signals on a schedule.
Use approved company knowledge to answer routine questions and cite the source before work reaches a customer.
Pick a workflow with clear inputs and outputs, such as a daily inbox digest or a weekly customer follow-up queue.
Tell the agent which documents, inboxes, schedules, and tools it can use, and which actions it can prepare or run.
Require review for money, legal language, customer emotion, pricing exceptions, external commitments, or missing sources.
Review what the agent inspected, prepared, skipped, escalated, and scheduled so the automation remains understandable.
No. Traditional automation is rule-based. Manor AI workflows can inspect context, use company knowledge, draft work, stop for approval, and keep logs visible.
Start with one narrow workflow for a week or two. Expand only after the agent produces useful output and stops correctly on risky cases.
Trusted sources, source citations, approval points, visible logs, and clear rules for what the agent should not do.
Create a Manor workspace to connect the sources, schedules, approval rules, and logs that make agent automation useful for small teams.