Reading email is the modern professional's biggest unbilled time cost. Triaging it, deciding what matters, deciding what to ignore, drafting replies to the predictable ones — the cognitive load adds up to hours a week of unfocused work. Evisent built an AI-powered inbox manager that's reclaiming 15 hours of focused time every month for each operator using it.
For most professionals, the inbox is the single largest source of cognitive load and context-switching across a working day. Industry research consistently puts unfocused email handling at 2–4 hours per knowledge worker per day when measured across triage, reading, deciding what matters, drafting replies to routine items, and the multiple times an inbox is "checked" without action being taken.
The deeper cost isn't the minutes. It's the mental-state cost — every inbox visit is a context switch that pulls attention away from focused work, and most of the decisions made during that visit are low-value triage decisions that an AI can make as well or better than a human: this is a newsletter, this is spam dressed up as urgency, this is a routine confirmation, this can wait until tomorrow, this needs your attention now.
We set out to remove the bulk of that decision layer.
"When I open my inbox, I want to see only the emails that need a human decision — and I want a summary, a recommended action, and a draft reply for everything that does."
The inbox manager runs on a continuous schedule against the operator's Microsoft 365 mailbox. It uses Anthropic Claude for the language-judgement steps and Power Automate for the rules-based plumbing. Every incoming email passes through six processing layers.
Every incoming email is classified into one of seven intents — action required, FYI, newsletter, marketing, vendor billing, calendar, or noise. Claude reads sender, subject, body and thread context to decide.
Emails classified as newsletter, marketing or noise are moved to dedicated folders without notification. The operator never sees them in the primary inbox unless they choose to look.
Email threads over a certain length are summarised into a 3-sentence brief at the top of the email. The operator reads the brief, decides whether the full thread needs attention, and saves the scroll.
For predictable email patterns — confirmation requests, calendar coordination, routine status updates — a draft reply is generated and sat in the email itself for the operator to send, edit or discard with a single click.
Every morning, a single email digest summarises what needs attention today, what's been auto-handled, and what's been routed elsewhere. The operator reads one email instead of fifty.
Operator corrections (re-classifying, restoring routed emails, rejecting draft replies) feed back into the classification logic. The system gets sharper over the first 30 days as it learns the operator's preferences.
The entire automation runs inside the operator's existing Microsoft 365 tenant. No external SaaS subscription, no email content leaving the M365 boundary except for the explicit Claude API call (with the operator's data flow agreement). No new vendor relationship for the buyer.
Exchange Online, Outlook, Graph API. The host environment.
The orchestration layer. Triggers, routing, folder moves, draft creation.
The language judgement — classification, summarisation, draft generation.
DLP and sensitivity-label aware so privileged content stays inside the boundary.
We chose Claude for the language layer because its reasoning quality on classification-and-summarisation workloads is consistently strong, but the architecture is intentionally swappable — the same workflow runs against Azure OpenAI or Microsoft Copilot if a client prefers a fully Microsoft-stack deployment. Vendor-neutral on the AI choice; Microsoft-aligned on everything else.
Time savings are the headline number, but they aren't the most interesting outcome. The deeper change is in mental-state: the inbox stopped being a source of anxiety, and started being a tool used on the operator's schedule rather than the other way around.
Fixed-scope Builds from $4,000, plus $200/mo managed operations. Same discipline. Same governance overlay. Scoped to a specific outcome before you commit.