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AI Email Assistant · triage, draft, follow up

An AI email assistant that triages your inbox and drafts replies in your voice

The average founder spends 14 hours/week in email — most of it triage and routine replies. We build an AI email assistant that reads everything, triages by priority, drafts replies in your voice, and handles routine threads end-to-end. You review the surface; the AI handles the substance. 80%+ inbox deflection in week 4.

Book the free AI Audit→See pricing

8–12 hr/wk

time recovered

80%+

inbox deflection

14 days

voice training

inbox.dgcore — AI email assistant

RUNNING

▸ Today · 47 emails handled

⚡

TRIAGED

47 inbound · 8 priority · 11 routine · 28 auto-handled

09:00

✏️

DRAFTED

Drafted 11 routine replies · founder review queue

09:14

✓

AUTO-REPLY

Vendor follow-up · auto-replied · CRM logged

10:22

⚠️

ESCALATED

Client churn signal · flagged for founder · context attached

11:08

📊

METRICS

This week: 312 emails · 81% AI-handled · 6.2 hr saved

YTD

Inbox deflection

81%

Founder time saved

6.2 hr/wk

Certified on the platforms you already use80+ builds shipped

GoHighLevel

HubSpot

n8n

Make.com

Zapier

Klaviyo

Airtable

▸ Our verdict on AI Email Assistant

Email is one of the highest-ROI categories for AI. The work is repetitive, the data is rich (your sent folder), the failure modes are recoverable (you review before send), and the time savings are dramatic. Most founders see 8–12 hours/week back within 30 days.

What we deliver

What our AI email assistant handles

Standard scope. Custom scope available on the audit.

⚡

Inbox triage

Reads every inbound, classifies priority (urgent/important/routine/junk), surfaces what needs you and hides what does not.

✏️

Voice-matched drafting

Drafts replies in your voice, trained on your last 6 months of sent email. You review and send (or auto-send for low-stakes).

↻

Follow-up tracking

Tracks every thread that needs follow-up. Auto-sends reminder follow-ups at the right cadence. Never forgotten threads.

⚠️

Escalation + signals

Flags churn signals, complaints, sensitive topics, and high-priority client communications. Routes to you within 60 seconds.

Engagement model

From audit to live AI email assistant in 4 steps

Same engagement shape as every digicore101 build. Predictable timeline, predictable cost, no scope creep.

017 days

AI Audit

90-min strategy session, traffic + conversation review, agent persona design, costed roadmap.

·Persona doc
·Voice & tone guide
·Cost + timeline lock

025–10 days

Voice Training

Trained on your real email assistant interactions (last 6 months). Shadow drafts reviewed by you.

·Voice match approval
·Edge cases mapped
·Escalation rules signed off

032–3 weeks

Build & Deploy

Live deployment with daily founder review for first 14 days. Confidence threshold + escalation gates active.

·Live agent
·Daily-review dashboard
·Team training session

04Ongoing

Tune & Support

Retainer keeps the agent improving — voice updates, new edge cases, performance reporting.

·Slack channel
·Weekly tune cycle
·Monthly reporting

The math

Manual inbox vs AI email assistant · founder time recovered

A founder doing 30–60 emails per day spends 8–14 hours per week in email when you include triage, drafting, follow-up, and the context-switching tax. AI compresses the work without compressing the substance.

✓Average founder time in email: 11 hr/wk

✓After AI assistant: ~3 hr/wk (review only)

✓Net recovered: ~8 hr/wk · 32 hr/mo

✓At $200/hr founder time, that is $6,400/mo in recovered capacity

Founder hours per week in email

Manual inbox11 hr

Triage + drafting + follow-up + context-switch

AI assistant + review3 hr

Review-only · AI handles substance

Hours recovered8 hr

At $200/hr · $6,400/mo capacity

The math

−8 hr/wk

or $76k/yr in founder capacity

Manual inbox vs AI email assistant

How an AI email assistant compares to manual inbox management

Honest comparison. We will tell you when the human is the right call.

CapabilityManual inboxAI email assistant

Triage timeManual · 30–45 min/dayAutomated · seconds

Routine repliesManual · 10–15 min eachDrafted · 30 sec review

Voice matchYou write everythingTrained on your sent folder

Follow-upForgotten 60% of the timeAuto-scheduled · never missed

Time per inbox cycle~45 min~8 min review

Best forHighly personal emailAnyone with 30+ emails/day

Recent email assistant work

How real founders used this

Names anonymized where requested.

Founder

Solo founder · −10 hr/wk in inbox

Solo B2B founder doing 80 emails/day. Trained on 8 months of sent. AI handles 84% of inbox. Founder weekly inbox time: 14 hr → 4 hr.

80/day−10 hr/wk84% deflection

Agency

Agency owner · client communication automation

Client check-ins, project updates, status questions all drafted by AI. Founder reviews and sends. Account managers freed up for billable work.

Client commDrafted not sentAM freed up

Course

Course creator · student email automation

AI handles 92% of student email (course access, refund policy, schedule). Tier-2 only routes to founder. Founder spent 0 hr in student inbox last week.

92% deflection0 founder hrStudent email

B2B

B2B services · CRM-aware drafts

AI pulls CRM context for every draft (last touch, deal stage, recent activity). Drafts are senior-rep-quality. Founder approves; AI sends.

CRM-awareSenior qualityApprove+send

When this fits

Honest scope — and who shouldn't engage

AI email assistants compound when volume + repetition exist.

✓ Engage when

You handle 30+ emails/day
AI ROI is decisive at this volume.
Your replies follow patterns
"Thanks, will follow up Friday" / "Here is the link" / "Yes that works" — easy AI wins.
Follow-up is your failure point
AI never forgets. Most founders gain 15–25% revenue back from forgotten threads.
You hate email
Honestly the strongest signal. If you procrastinate inbox, AI fixes it.

✗ Don't engage when

Your email is highly personal/judgment-driven
Therapy, executive coaching, sensitive client work — keep it human.
You handle under 10 emails/day
Volume too low. Stay manual until you cross 30/day.
You do not have a sent folder
AI training requires your historical sent. New inboxes need 2–3 months of usage first.

Pricing

AI Email Assistant engagement tiers

Scoped lock — fixed deliverable, fixed price. Audit credit applies to any tier.

Quick Setup

$497one-time

Lean install. Single agent, single channel, founder-trained voice match in week one.

✓Single channel deploy
✓Voice match training
✓Team training (1 hour)
✓14-day stabilization

Start lean→

Questions before we start

Will it really sound like me?+

Yes. We train on your last 6 months of sent email (yours only, not received). Voice match is typically passing your own approval at week 2. You review every draft for the first 14 days, then spot-check.

What if it sends something wrong?+

Default config: every draft requires your approval before send. Once you trust it for specific categories (e.g., "vendor follow-ups"), you can flip those to auto-send. Most founders flip 30–50% of categories to auto by month 2.

Does it work with Gmail or just enterprise?+

Gmail (Workspace + free), Outlook 365, and Front native. Custom enterprise email systems via API.

What about confidential threads?+

You can mark contacts or threads as "AI-excluded" so the assistant never reads or processes them. Useful for legal, HR, or sensitive personal communications.

What does it cost?+

Quick Setup $497 + $97/mo (single inbox, basic triage). Full Build $1,997+ + $197/mo (full drafting, multi-inbox, follow-up tracking, escalation). Bundled with Digicore AI for $0 marginal at the Standard tier.

Keep exploring

Where AI Email Assistant fits in the bigger picture

Most engagements layer 2–3 platforms with a service shape. These pages map the surrounding territory.

Ready when you are

Ready to scope your AI Email Assistant build?

Book the free AI System Audit. We map your stack, find the leaks, and deliver a build roadmap in 7 days. Vendor-neutral.

Book the free audit→See pricing →