Why the answers you read disagree
Ask ten founders whether AI SDRs work and you'll get both "it booked a third of our meetings" and "it wrecked our domain in a month". Both are usually true, because "AI SDR" covers very different setups: some send thousands of lightly personalised emails on autopilot, others research each lead and wait for a person to approve every message. The results depend far more on the setup than on the tool.
When they work
- A narrow, clear ICP. "Agencies of 10 to 50 people that run client onboarding" works. "SMBs" doesn't.
- An offer that already sells. AI scales a message that works; it doesn't fix one that doesn't.
- A real reason to write now. A hire, a launch, a post, a new role. Agents are very good at finding these.
- Good data. Accurate contacts and verified emails keep bounce rates and spam complaints low.
- A person approving. Review catches the odd wrong assumption before it reaches a prospect under your name.
- Patience. The first two weeks are setup and tuning; judge results after a month.
How they fail
Generic at volume
Thousands of near-identical messages with a first name swapped in. Replies fall and spam complaints rise.
Wrong people
A loose ICP sends good messages to people who will never buy, which looks like a messaging problem but isn't.
Confident mistakes
A wrong company detail or a misread post, stated with confidence. One of these to a key account costs more than the tool.
Burned channels
New domains sending at volume land in spam; aggressive LinkedIn activity gets accounts restricted. See is LinkedIn automation safe.
Replies left hanging
The agent starts conversations nobody follows up properly, so interest goes cold.
What approval changes
Most of the failures above are caught by one habit: a person reads each message before it goes. It's slower than full autopilot, but it stops generic messages, wrong details and badly timed follow-ups at the source, and it teaches the agent your voice faster, because every rejected draft comes with a note on what to change. If you'd rather not review every message, put hard limits on what the agent may do instead: who it contacts, how many a day and on which channels. That's how Siela's AI SDR works, with a Find leads only mode for when you want to check the list first.
How to test one fairly
- Pick one segment of 50 to 150 people who closely fit your ICP.
- Write down the offer and the reason to contact them now.
- Run the agent for four weeks, approving every message.
- Track replies, positive replies, booked calls and how many drafts you had to rewrite.
- Compare cost per booked call with what you did before.
If it books calls and the rewrite rate falls week by week, widen the segment. If not, look at targeting and offer before blaming the tool.
What a good first month looks like
| Week | What should happen |
|---|---|
| 1 | Setup: ICP, offer, voice, sending accounts. A handful of messages, every one reviewed closely. |
| 2 | Volume rises gently. You're still editing many drafts; first replies arrive. |
| 3 | Edits fall. Replies mention details from the messages. First calls booked. |
| 4 | A steady rhythm of replies and calls; you can see cost per booked meeting. |
Signs it's working
- Replies mention specific details from your message.
- Positive replies arrive steadily, not in one burst.
- You approve most drafts with no or small edits.
- Bounce and spam complaint rates stay low.
- Booked calls are with people you'd actually want as customers.
Questions to ask before you buy
- Can I approve every message before it's sent, on every channel?
- Which accounts and domains does it send from, and who sets them up?
- Where does the lead data come from, and how is it verified?
- What does it do at a LinkedIn checkpoint or a sending limit?
- Where do replies and booked meetings end up?
- What does a month cost at my volume, all in, and can I cancel monthly?
Frequently asked questions
Do AI SDRs actually work?
They do when the ICP is narrow, the offer already sells, each message has a real reason, the data is good and a person checks what goes out. They fail when used for generic messages at volume.
Why do AI SDRs get bad reviews?
Mostly because of autopilot setups that send generic messages at scale, which damages deliverability and brand. The tool is rarely the only problem; targeting and oversight usually are.
How long does it take for an AI SDR to work?
Expect two weeks of setup and tuning, and judge results after about a month on one segment.
Will an AI SDR hurt my email domain?
It can, if it sends at volume from new or unwarmed domains to unverified lists. Use separate warmed domains, verified contacts, modest volumes and human review.
How does Siela keep AI outreach from going wrong?
The AI SDR only contacts people who fit and show a fresh signal, writes each LinkedIn and X message for that person and has a second AI check it, keeps to your daily limits, and stops follow-ups when someone books or says no. Choose Find leads only to review the list before anything is sent.