Agentic Workflows in Email: 3 Years, Real Data

The big AI switch of 2025

The shift happened fast.

• Nov 2024 and earlier: "Do not use AI." Executives were asking legal to draft policies banning it.

• Summer 2025: "How can we do more?" Same execs. Eight months later. The mandate flipped.

This post covers what we've seen in 3 years of installing AI in email creative and production — the process changes, the numbers, and what it means for your team.

Three types of AI users

Every email team we've worked with has all three:

• Power users — All-in. Building workflows, automations, custom prompts. Pulling teammates along.

• Reluctant — Curious but cautious. Using it for small tasks. Open to more if shown the value.

• Resisters — Skeptical or quietly opposed. Worried about quality, jobs, or losing the craft.

How email teams most commonly use AI

1. Copywriting — Subject lines, body copy, variants. The most common entry point.

2. Performance analysis — Reading reports, surfacing patterns, recommending what to test next.

3. Send-time optimization — Per-recipient timing, frequency capping, smarter cadences.

4. Audience selection — Segmentation, lookalikes, suppression. Faster and more nuanced.

The email creative process has changed

Before — serial. 1 to 6 weeks. Brief → Copy → Design → Review → Code → Versions → Translations → Deploy. Each step waits on the last.

After — hub. Hours to days. Brief in, instant layout out. Copy, design, code, review, versions, and translation all happen in parallel around it.

The numbers

Time reduction by role

For an email campaign with a handful of versions. Based on data from 14 organizations.

• 72% less overall time — 17 hrs → 4 hrs

• 83% less copy time — 6 hrs → 1 hr

• 5 hrs less design time — 7 hrs → 2 hrs

• 88% less dev time — 4 hrs → 1 hr

• 550% more output — 4 → 20 emails per week

The bigger picture

• 70% reduction in total time — Litmus's State of Email shows the same drop.

• 40% faster approvals and reviews — Less back-and-forth, more parallel work.

• 5–10x increase in output — Same team, multiples more campaigns.

• Much more testing — "We're finally able to really test now."

Roles most affected

Not in a negative way — just experiencing the biggest change.

• Copywriters — Shift to leadership and vision. Less day-to-day. Freelancer pools shrink.

• Designers — Feeding patterns, auditing, designing the system.

• Developers — Day-to-day email coding often eliminated. Template management. AI power users.

• Strategists — Now they can create. Show, don't tell. Versions finally match the test plan.

• Freelance/offshore — Significantly reduced.

• Marketing managers — The new creators. Independent, and now serving the team.

• Project managers — In high demand, driven by many more layouts and testing.

Creative staff: less day-to-day, more ideas and vision

AI needs original design — which is created by humans to emulate.

• Designers and writers are getting elevated by the shift to AI creative systems.

• AI follows patterns created by skilled designers and copywriters. Think of it as a copy machine on steroids — it iterates on what was done before.

• Design cycles go stale after 4–8 months. Humans are the ones who show what comes next.

• Creative is now the conductor. AI is the orchestra.

"We now focus on ideas… like what comes next… the good stuff." — Designer at a large electronics company

Email marketing managers: stock is surging

The people who run campaigns can now make them. Less traffic cop, more marketing.

• Write the brief, upload it, see a layout in minutes.

• EMMs used to be project managers coordinating many roles. Now they're far more independent.

• The key: write the brief, start the layout, then hand off to the team to finalize.

Developers: the AI power users leading the change

• Using skilled developers on day-to-day emails is wasteful.

• Move these roles to workflow improvement with tools like Claude Code, Codex, and Cursor.

• Have a software need? Make and test it in weeks.

Case studies

Four teams. Four very different stories. One consistent shift.

Sonos

A global program in 27 countries — moving at the speed of modern marketing.

• Marketing managers build and launch production-ready emails themselves

• Translation reduced to near-instant at essentially $0 cost

• Timelines compressed from 20–41 days to 8–12 days

• 11 working days eliminated from production

• 2x campaign output and testing velocity

-11 days • 2x output • $0 translation • -4 headcount

mBIOTA

A fast-growing gut health brand turning email into its primary revenue engine.

• Rapidly increased campaign volume without adding headcount

• Improved creative consistency across the program

• Freed up time for strategy and lifecycle optimization

• Small team operating like a much larger organization

10x revenue • 5x output • 8 emails/wk • 1 headcount

Silversea

Ultra-luxury cruises — moving creation directly into marketing's hands.

• Production timelines reduced 68%

• Team reduced from 12–14 contributors to 3

• Email creation owned directly by marketing

• Scalable translation and localization worldwide

• Maintained luxury brand quality and global consistency

68% less time • 5x output • 12 emails/wk • 3 headcount

Tips & takeaways

1. Lean teams are now an asset

Lean teams can now do much more — and that's an advantage. The smaller, sharper team can move quickly, pivot, test and try things.

2. The boring, repetitive stuff is over

Ask yourself: what's your P.I.A.? Those pain-in-the-a** tedious tasks can now be handled by AI. Thank goodness.

3. Doing something more than 3 times in a row? You're doing it wrong.

Automate it with AI.

4. Enough about "take your job"

• In all installs over the last 3 years, we have not observed any full-time staff reductions.

• We have seen reductions in freelancers, part-time, and agencies.

• We have seen roles change: Developer → Project Manager. Copywriter → Team Lead.

5. Plan the big workflow reset

1. Step back with your team — Treat this as a real reset, not just a tool rollout.

2. Update the process — The old workflow was built for a slower world. Redraw it.

3. Refocus the time you got back — On testing, strategy, brand — the work that actually moves the number.

6. Print your entire process. Then lighten, transform, and automate.

Tip: run this as a focused off-site event.

1. Look at each phase — Ask: how could we automate this?

2. Set aggressive goals — Expect your entire process can be cut in half.

3. Roll it out in phases — 3–5 phases works best.

Summary

• AI is automating tedious work and cutting production time in half.

• Output and versioning are increasing, creating new complexity.

• Creative teams are shifting to higher-value strategic work.

• Email managers are now positioned to lead the change.

• Workflows need a major redesign.

Ready to Implement Agentic in Your Workflows?

We offer a free creative & process audits → denada.ai

Just reach out to Matt and in 1 week we'll provide a free audit on ways you can cut time, save cost along with a full implementation timeline.

Get started > matt@heydenada.com