u/Calm_Ambassador9932

Tried letting Claude Cowork handle most of our outbound recently… didn’t go great.

At first, it looked efficient. But pretty quickly things started slipping:

Sequences stalled mid-way,
follow-ups lost timing and context,
and conversations just… fizzled out.

It wasn’t fully manual, but not truly automated either,
just stuck in that awkward middle where nothing really flowed.

That’s when it clicked:

The problem wasn’t AI.
It was trying to make AI be the system.

What’s been working better since:

Using AI within a structured process - not as the process.

AI speeds things up and improves messaging,but the system is what actually keeps deals moving.

how are you all using AI right now? Supporting reps, or trying to automate the whole thing?

Been noticing a pattern lately, teams are using AI to write emails/personalize faster, but their results aren’t actually improving much.

Feels like AI is helping people scale activity… not necessarily effectiveness.

If the targeting is weak, follow-up is inconsistent, or the sequence/process is messy, AI just helps you do more of that faster.

Are others seeing the same thing..?

Has AI actually improved your email performance, or mostly just made execution faster?

Been noticing a pattern lately, teams are using AI to write emails/personalize faster, but their results aren’t actually improving much.

Feels like AI is helping people scale activity… not necessarily effectiveness.

If the targeting is weak, follow-up is inconsistent, or the sequence/process is messy, AI just helps you do more of that faster.

Are others seeing the same thing..?

Has AI actually improved your email performance, or mostly just made execution faster?

Feels like a lot of teams are calling their outreach “automated” just because AI is involved now.

But if people still have to manually review outputs, move data between tools, approve every step, and keep the workflow running… that’s not really automation. It’s just faster manual execution.

Used well, AI can reduce repetitive work and help teams focus more on strategy, creative, and other higher-value tasks.

Used badly, it just helps teams create more noise faster.

how other marketers here see it: are most companies overestimating how “automated” their marketing/outbound really is right now?

A lot of teams think adding AI to outreach = they’ve “automated” their process.

In reality, most have just improved execution… not built an actual system.

AI tools like Claude are great for things like:

• Writing better outreach copy
• Personalizing messages faster
• Speeding up prospect research
• Generating campaign ideas

But that’s still just AI helping a human do the work.

Without real process/infrastructure behind it, AI outreach usually ends up being:

• Faster, but inconsistent
• Helpful, but scattered
• Hard to standardize
• Still dependent on someone manually overseeing everything

The real leverage comes when AI is plugged into an actual workflow/system.

That’s when it stops being “AI-assisted outreach” and starts becoming something scalable/repeatable.

How others here are using AI in automation: Are you mostly using it as a productivity layer, or have you actually built it into structured system?