40 Emails. 90 Seconds.
Your Inbox on Autopilot.

A 30-person recruitment agency. 40โ€“60 emails per day landing in a shared inbox. Our AI triage pipeline classified every email, routed each one to the right person, and drafted a contextually appropriate reply โ€” automatically, before anyone arrived at their desk.

Workflow: A2 โ€” Client Inquiry Auto-Response & Routing  ยท  February 2026
"This is a live demonstration using our production triage pipeline. The agency scenario is representative; the AI processing is real."

12

Emails processed in demo

11.4s

Total processing time

2

Urgency-5 leads surfaced

~8min

Admin time needed (review)

Two hours a day. Every single day.

Manual inbox triage is genuinely hard, repetitive, high-stakes cognitive work โ€” done from scratch each morning.

Activity Time
Daily inbox triage (read, classify, route, forward with context)2 hours
Working days per month22
Hours per month on email sorting 44 hours
Annual equivalent 528 hours โ€” over 13 working weeks
๐Ÿ“ฌ

And that assumes everything goes smoothly

When the administrator is on holiday, unwell, or pulled onto something else, emails pile up โ€” and the urgent ones sit there unanswered while a competitor picks up the phone first. Manual triage is also fatigue-dependent: email 40 gets less thought than email 1. The AI applies the same criteria, at the same quality, to every single email in the batch.

Three actions. Seconds after each email lands.

The pipeline runs silently in the background, triggered the moment a new email arrives.

1

Classify

Every email analysed for intent, urgency (1โ€“5), confidence, and key entities โ€” company name, role mentioned, timeline, signals extracted automatically.

2

Route

The right email goes to the right person โ€” immediately. Critical issues DM'd to the account manager. New leads to the BD team. Invoices to accounts. Spam archived silently.

3

Draft

For every non-spam email, a contextually appropriate draft reply generated โ€” ready for one-click approval in Slack. Nothing is sent automatically. The human stays in control.

Category in demo Count
New business inquiries3
Candidate applications / queries3
Existing client follow-ups2
Finance / invoice1
Internal (team member)1
Spam / vendor pitches2
Total processed 12 emails in 11.4 seconds

Real AI outputs, unedited

Four of the twelve emails processed โ€” each showing the classification result and draft reply generated.

Email 01 โ€” 7:43 AM ๐Ÿ”ด URGENCY 5

Incoming email: CFO at a 180-person Leeds financial services firm. Head of Compliance leaving end of month. Regulatory examination in Q2. Wants a call that morning. Warm referral from an existing client.

Intent: new_business
Urgency: 5 (Critical)
Confidence: 97%
Route: DM to Sophie Harris (BD Lead) + #new-leads
CRM: New contact created, deal opened, "same-day callback" flag set
Note: โšก Cross-ref Email 03 โ€” potential candidate match (Compliance Manager, 7 yrs FS)

What happened: Sophie received this alert before 8:00 AM โ€” including the cross-reference to Email 03 (a matching candidate who arrived 34 minutes later). In the manual process, both would have sat unread until 10:15 AM. A competitor answering at 8:30 AM secures the brief.

Email 11 โ€” 10:19 AM ๐Ÿ”ด URGENCY 5

Incoming email: Existing law firm client reporting that a placed candidate is considering withdrawing two days before her start date. Requesting an immediate callback.

Intent: client_follow_up
Urgency: 5 (Critical)
Confidence: 98%
Route: DM to Sarah Obi (Account Manager) โ€” ๐Ÿ”ด URGENT
Also: Posted to #client-support + escalated to Team Lead
CRM: Support ticket created, flagged critical
Email 09 โ€” RFP with deadline ๐ŸŸก URGENCY 4

Incoming email: Formal Request for Proposal from a plc โ€” a multi-year preferred supplier agreement across Financial Services, Legal, and Finance. Response deadline: 10 days.

Intent: new_business (RFP)
Urgency: 4 (High) โ€” deadline in 10 days
Confidence: 96%
Route: DM to Sophie Harris (BD Lead) + #new-leads
CRM: New lead created, deal stage "RFP โ€” high value"
Note: โš ๏ธ Response required by 28 Feb โ€” deadline tracked
Emails 02 & 10 โ€” Vendor pitches โšซ AUTO-ARCHIVED

An ATS software cold sell and an SEO marketing pitch. Together they would have taken 6โ€“8 minutes to read, recognise as irrelevant, and delete.

Intent: spam / vendor_pitch
Action: Auto-archived + labelled
Notification sent: None
Human time spent: 0 seconds
Processing time: 0.4 seconds each

Spam and vendor pitches typically account for 20โ€“25% of volume. At 3 minutes each across 40โ€“60 daily emails, that's 24โ€“45 minutes per day returned to useful work โ€” from spam filtering alone.

From 89 minutes to 8 minutes

Step Manual Process ShortlistOps A2
Read all 12 emails ~24 minutes Instant
Classify each email ~12 minutes Instant
Route to correct person with context ~10 minutes Instant
Draft acknowledgement replies ~20 minutes Automatic
Log to CRM ~15 minutes (often missed) Automatic, every time
Urgency detection Variable (fatigue-dependent) Consistent
Cross-referencing (e.g. candidate match) Never Automatic
Spam filtered Manual delete Auto-archived
Works on bank holidays / during leave No 24/7
Total admin time (12 emails) ~89 minutes ~8 minutes (review + approve)

What this means in pounds and hours

For a 30-person agency handling 40โ€“60 emails per day.

44h

saved every month

vs. manual triage

528h

saved every year

over 13 working weeks

78ร—

return on running cost

~ยฃ11/month to operate

Cost (at ยฃ18/hr admin rate) Manual ShortlistOps A2
Monthly hours on inbox triage 44 hrs ~4 hrs (review + approve)
Monthly cost at ยฃ18/hr ยฃ792 ยฃ72
Monthly saving ยฃ720 / month
Annual saving ยฃ8,640 / year

The conservative case. The real value often comes from what automation prevents.

โ†’The missed urgent lead โ€” a senior inquiry sat unread while a competitor answered first
โ†’The misrouted complaint โ€” a critical client issue forwarded with a vague note, too late
โ†’Holiday cover โ€” the pipeline runs 24/7 regardless of who's in the office
โ†’Consistent quality โ€” email 40 processed identically to email 1, every day

In their own words

"The first morning it ran, I actually had nothing to do at 8am. It was strange. Everything was already sorted."

โ€” Office Administrator, 28-person recruitment agency

"We nearly missed an RFP response deadline last year because it got buried. That won't happen again."

โ€” Managing Director, specialist legal recruiter

"The urgent emails come to me immediately now. I used to find out about problems hours later."

โ€” Account Manager, financial services recruitment

Technical Overview

Component Tool
Automation layerMake.com
AI classification & draftingClaude Sonnet (Anthropic API)
Email integrationGmail / Microsoft 365
Notifications & approvalSlack (Block Kit)
CRM loggingHubSpot / Bullhorn
Audit logGoogle Sheets
ยท

Setup time: 5โ€“7 hours, one-off

ยท

Running cost: ~ยฃ11/month all-in, up to 200 emails/day

ยท

Uptime: 24/7, including bank holidays and annual leave

ยท

Audit: Every classification, routing decision, and draft reply is logged. One click to re-route if needed.

Run your own inbox through the pipeline

Book a demo and we'll walk you through a live demonstration using your own mailbox โ€” you'll see the AI classify, route, and draft replies to real emails in real time.

Or email us at anas@shortlistops.co.uk โ€” we'll get back to you within 24 hours.

Call or WhatsApp: +44 7388 281312