Critical emails, surfaced.
n8n, OpenAI GPT and Google Sheets wired together. The system reads every inbound email, scores sentiment and urgency, and surfaces only what your team needs to act on.
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Across every use case, 2 to 3 hours of daily scrolling handed back to the people who should be solving problems.
Reduction in manual email review time
Fewer items needing human review
Automated monitoring, never miss an escalation
Per month, all in
Our white label marketing services for agencies cover every discipline, 400+ certified specialists, AI-powered execution, your logo on every deliverable.
Used by digital agencies, account managers and client services teams.
Account managers juggle 10+ clients via email, where real escalations get buried under newsletters, transcripts and automated alerts. The system surfaces what needs action and logs every escalation.
Monitors every client inbox continuously
Classifies each email by urgency and sentiment
Auto-surfaces frustrated client emails to the top
Logs every escalation with timestamp and status
Used by customer support teams with mixed-content inboxes.
Support inboxes blend real tickets with system alerts, status updates and newsletters. The system filters the noise so agents see only what needs human attention.
Filters out system notifications and routine alerts
Classifies real tickets by priority and category
Surfaces high-priority issues to the top of the queue
Frees agents to focus on actual support, not triage
Used by CSMs and customer success teams.
Churn often starts with a frustrated email that goes unnoticed. The system reads client sentiment in real time and flags unhappy accounts before they slip away.
Scores client sentiment on every inbound email
Auto-surfaces frustrated or disengaged accounts
Sends a daily digest of accounts needing CSM attention
Logs every flagged escalation for trend analysis
Used by operations teams managing service-level agreements.
SLA breach notifications get buried in the same inbox as everything else. The system catches them the moment they arrive and surfaces them for immediate action.
Identifies SLA breach notifications and TAT violations
Surfaces breaches the moment they arrive
Sends a daily digest of overnight SLA events
Keeps a full audit trail of every breach and resolution
Used by PM teams handling client communication across multiple engagements.
PMs juggle ten clients with email going to ten places. The system reads every project inbox and pulls escalations into one dashboard for daily review.
Monitors multiple client and project inboxes from one place
Classifies escalations by project and severity
Surfaces high-priority issues for daily PM review
Logs resolution status for retros and audits
Used by team leads, heads of operations and managers.
Leaders shouldn't be scrolling inboxes to know what their team is dealing with. A morning digest tells them exactly what escalated overnight and what's still open.
Auto-sends a morning digest of overnight escalations
Highlights anything still open from the previous day
Provides a full audit trail for performance reviews
Replaces ad-hoc Slack updates with a structured log
Whatever your motion, this shows up differently from a team scrolling through hundreds of mixed emails.
AI scores tone and urgency. Frustrated clients rise to the top.
Proven components, assembled into one always-on escalation engine.
Identify which inboxes the system should monitor.
Tune classification to your clients and categories.
Build the monitor, classify and route pipeline.
Wire the Google Sheets dashboard for the team.
Define what surfaces and when.
Launch and refine from real classifications.
Some workflows are built for it from day one. Others aren't, yet. Here's a quick read.
The six scenarios on this page are the most common, but the same pattern (read every email, classify by urgency, surface only what matters, log everything) applies anywhere a team is scrolling inboxes when they should be solving problems. Tell us about your motion and we'll show whether it fits.
During setup we tune the classification to your business. The AI scores every email on sentiment, urgency, SLA risk and category. Escalation rules are defined by you, so a frustrated tone, an SLA breach mention, or a missed-deadline reference all surface to the top of the queue.
Yes, every inbound email is read and classified by the AI. The dashboard then shows only what needs action, but the log captures everything so nothing falls through the cracks.
The system is tuned during setup and refined from real classifications. Threshold and category rules can be adjusted as you learn what surfaces. The audit log makes it easy to see misclassifications and fix them.
The automation layer that connects email monitoring, the GPT classification workflow, and the Google Sheets dashboard. OpenAI usage costs sit alongside that and scale with volume.
Typically 2 to 3 hours once your inboxes and escalation criteria are defined. After that, the system runs continuously and is tuned from real classifications.
Tell us where your team's losing the most time today, and we'll show you what an always-on triage layer would catch.
Our team will review it and get back to you shortly.
