InboxIQ • Full Feature Overview

AI email intelligence that lives inside your inbox

InboxIQ adds a five-layer intelligence pipeline to your existing Gmail or Outlook inbox. No migration. No new support tool. Every feature is designed for the founder or ops lead drowning in 50–300 repetitive emails a week.

Works with Gmail and Outlook • No credit card required to start

Five layers. One pipeline. Zero inbox migrations.

Each layer builds on the one before. Start with triage, add drafts when you're ready, turn on automation once your rules are dialled in.

01

Triage

Classify every email by intent, detect urgency, assign ownership — automatically.

02

Draft replies

KB-grounded reply drafts ready for your review. You send. InboxIQ never sends.

03

Automation

Rule-based actions triggered by triage output: archive, label, forward, notify.

04

Multi-inbox

Invite your whole team with one link. Each inbox is independent, per-inbox pricing.

05

Analytics

Top topics, response times, team activity. Know what's eating your time.

Layer 1 • AI Triage

The decision engine that runs before you open your inbox

Every email that lands in a connected inbox is processed by InboxIQ's triage pipeline before you see it. No rules to write. No keywords to configure. The model learns your patterns and gets more accurate over time as you correct its decisions.

  • Intent classification — support, billing, sales, spam, transactional, and custom categories
  • Urgency detection — surface escalations before they become fires
  • Sentiment analysis — flag frustrated customers automatically
  • Ownership assignment — route to the right person based on intent
  • Ticket suppression — transactional and promo emails handled silently, no noise
  • Human override — one click to correct a decision; model learns immediately

Triage runs on every inbox independently. No shared data between accounts.

What triage replaces

For a team handling 200 emails/week, triage eliminates roughly:

40–60 min/day Manually reading and sorting email before doing real work
15–20 min/day Re-routing emails to the right teammate
10 min/day Chasing escalations that sat unnoticed in a shared inbox
20 min/day Deciding which emails need a reply vs which can be ignored

Total: 1.5–2 hours of focused work recovered per person, per day.

How KB-grounded drafts work

  1. 1.InboxIQ reads the email and detects the question or request.
  2. 2.It searches your connected knowledge base for relevant articles.
  3. 3.A draft reply is generated, grounded in your actual documentation.
  4. 4.The draft appears in your dashboard — review, edit, or discard.
  5. 5.You send from your own inbox. InboxIQ never sends on your behalf.
Supported KB sources: Notion, Confluence, HelpScout Docs, Intercom Articles, plain-text upload.
Layer 2 • Draft Replies

Drafts grounded in your knowledge base. You stay in control.

InboxIQ never sends email on your behalf. It prepares a reply grounded in your actual documentation so you spend 30 seconds reviewing instead of 5 minutes writing from scratch. Every draft cites the KB article it drew from so you can spot gaps.

  • Drafts appear in the InboxIQ dashboard — never sent without review
  • Grounded retrieval — answers come from your docs, not hallucinated
  • KB gap detection — repeated questions with no article trigger a notification
  • Feedback loop — accept/reject trains the model on your tone
Layer 3 • Automation Studio

Rules that fire on what the AI decided — not just keywords

Traditional email rules match on sender or subject line. InboxIQ rules trigger on triage output: intent, urgency, sentiment, and category. Write rules in plain English — the model converts them.

  • Natural-language rule builder — "If support and urgent, notify Slack #oncall"
  • Trigger on triage output — intent, urgency, category, sentiment
  • Actions — label, archive, forward, assign, webhook, draft, reply with template
  • Audit trail — every execution logged with the AI decision that triggered it

Example rules teams use on day one

WHEN If billing and any urgency

THEN Forward to billing@, label Billing

WHEN If support and urgent

THEN Label Urgent, notify #support on Slack

WHEN If sales inquiry

THEN Assign to sales@, create CRM task

WHEN If transactional (receipt, invoice)

THEN Archive immediately — zero inbox noise

WHEN If spam or promotional

THEN Archive, never show in queue

WHEN If sentiment is frustrated

THEN Flag for founder review before any reply

Layer 4 • Multi-Inbox & Teams

One invite link. Every inbox connected.

InboxIQ isn't a shared inbox — it augments each person's own inbox. Share a single invite link and every teammate connects their Gmail or Outlook in under two minutes. Each inbox is independently billed, independently configured, and privately processed.

  • Multi-inbox invite link — one URL, unlimited teammates, each connects their own inbox
  • Per-inbox pricing — pay only for active inboxes, not per seat or per user
  • Cross-inbox visibility — see activity across all connected inboxes from one dashboard
  • Independent configs — each inbox can have different automation rules and KB sources
  • No migration, ever — inboxes stay in Gmail/Outlook where your team already works

Why per-inbox beats per-seat

Most tools charge per seat regardless of activity. InboxIQ charges per active inbox — so a 10-person team where only 4 people get meaningful email volume pays for 4 inboxes, not 10 seats.

Competing tool (10 seats × £15/seat) £150/mo
InboxIQ Business (4 active inboxes) £149/mo

Same cost — but InboxIQ includes AI triage, draft replies, and automation. The competing tool does not.

Dashboard metrics at a glance

  • Top topics this week (clustered from real email subjects)
  • Action required vs auto-handled breakdown
  • Urgent email count and average response time
  • Triage accuracy (based on your feedback corrections)
  • Automation rule execution history
  • KB article usage in drafts (spot documentation gaps)
Layer 5 • Analytics

Know exactly what your inbox is costing you

The dashboard shows you what your team is actually spending time on — broken down by topic, intent, and urgency. Use it to prioritise hiring, update your KB, or decide which automation rules to build next.

Top Topics clusters email subjects by semantic similarity — so "payment failed", "billing issue", and "can't charge my card" surface as one topic, not three.

InboxIQ • Gets Smarter Over Time

Correct a label once. It never makes that mistake again.

Every time you correct a triage decision — changing a label, adjusting a priority, rejecting a draft — InboxIQ learns from it immediately. The model updates and applies the correction to similar emails from that moment forward.

  • One-click corrections — fix any label, urgency, or category from your inbox or dashboard
  • Immediate effect — the correction applies on the next similar email, not after a training cycle
  • Learns your patterns — adapts to your specific senders, tone, and business context over time
  • Draft feedback loop — accept or reject a draft reply; both signals improve future drafts
  • Per-account learning — your corrections only improve your model, never shared with other accounts

How a correction flows back into the model

AI decision

InboxIQ labels an email InboxIQ/Promotions

Your correction

You correct it to InboxIQ/Support — one click

Learning captured

Sender pattern, subject, and intent signal are recorded

Applied automatically

Next similar email from that sender is labelled correctly

Measurable improvement

Triage accuracy score rises in your dashboard

How InboxIQ compares

Most alternatives require you to move email into a new tool. InboxIQ stays inside your existing inbox.

Feature InboxIQ Superhuman Help Scout AI Front AI
Works inside Gmail / Outlook
No inbox migration required
AI triage + urgency detection
KB-grounded draft replies
Post-triage automation rules
Multi-inbox invite link
Per-inbox pricing (not per-seat)
Audit trail of AI decisions
Human always sends (no auto-send) Optional

Based on public documentation as of 2025. Features may vary by plan.

Built for founders and ops leads at growing B2B SaaS companies

You're the right fit if…

  • You handle 50–300 emails per week
  • 40%+ are repetitive (support, billing, onboarding)
  • You've rejected Zendesk and Intercom as too heavy
  • Your team lives in Gmail or Outlook already
  • You want AI to assist, not take over

Common titles

  • Founder / Co-founder
  • Head of Operations
  • Customer Success Lead
  • Support Manager (small team)
  • Technical founder wearing ops hat

Typical team size

  • 5–50 people
  • $500K–$5M ARR
  • No dedicated support team yet
  • 1–3 inboxes handling customer email
  • Post product-market fit, scaling ops

Stop spending your mornings sorting email

Connect your Gmail or Outlook in under two minutes. InboxIQ starts triaging immediately — no training data required, no configuration needed to get started.

No credit card required • Works with Gmail and Outlook • Cancel any time