Key takeaways
- Research and drafting are the heaviest parts of preparation, so AI tends to help most there.
- Lead finding works best when the ideal customer profile is written down clearly.
- Every AI draft needs a human check before it reaches a prospect.
- Inbox and CRM help stop good conversations from slipping through.
- Introduce one feature at a time and watch the quality of the output.
Which tasks take most of an SDR's time
Preparation fills much of an SDR's day: finding the right accounts and people, researching them, writing a message worth reading and logging what happened. Conversations, the part that books meetings, often get what is left of the day.
That is why AI features aimed at preparation tend to help more than features aimed at volume. Sending more generic messages faster rarely books more good meetings.
Which AI features make the biggest difference
The features that make the biggest difference are account research, lead finding, work email finding, personalised drafts, inbox reply help and CRM updates. The table below lists what each saves and where the SDR stays in charge.
Start with the one that removes your team's slowest step. For many teams that is account research; for others it is finding the right contact at a known account.
Where should SDRs stay in control
SDRs should stay in control of anything a prospect sees and anything that changes a shared record. Read every draft before it goes, check that research facts are current and confirm a contact's role before adding them to a sequence.
Good tools make this easy with drafts rather than automatic sends and with approval steps for actions that reach the outside world.
How do you roll AI features out to an SDR team
Roll them out one at a time, with a short test and a clear owner. Give a few SDRs the feature for a couple of weeks, ask them to note what they had to fix, then improve the setup before the rest of the team starts.
For example, an invented SDR team selling payroll software could start with AI research summaries before calls, add drafted first emails once the summaries are reliable, then add inbox reply help last.
AI features for SDRs
What each feature takes off an SDR's plate, and what the SDR still does.
| What it saves | What the SDR still does | |
|---|---|---|
| Account research | Reading websites and news before a call | Checks facts and picks the angle |
| Lead finding | Building lists of companies and roles by hand | Confirms fit with the ideal customer |
| Work email finding | Guessing address formats | Checks confidence before sending |
| Personalised drafts | Writing each first touch from scratch | Edits, approves and sends |
| Inbox reply help | Drafting answers to common replies | Decides the next step |
| CRM updates | Copying details into records | Confirms stage and next step |
Where Pebbles Ai fits
- CapabilityProspecting & customer recordsFind fresh leads at up to ten named companies; work emails are found where possible, each with a confidence score and a catch-all flag, and each lead comes with personalisation angles.
- CapabilityOutreach contentBuild email and LinkedIn campaigns of up to seven touches with a personality for each piece. LinkedIn messages are drafted for you to send yourself.
- CapabilitySmartboxSmartbox gathers an SDR's Gmail and Outlook replies in one inbox and drafts answers from the thread and your brand voice, so an interested reply is not left waiting.
Common questions
Will AI replace SDRs?
Not the judgement part of the job. AI takes on research and drafting, while choosing accounts, reading a prospect's mood and running a good conversation stay with people.
Should an AI tool send outreach without an SDR checking it?
Not at first. Start with drafts the SDR reviews, and let a tool send on its own only once its output has proved reliable for that kind of message. Check what each tool sends without a person's approval.
Which AI feature should an SDR team adopt first?
The one that removes your slowest step. For most teams that is account research or finding the right contact at a target account.
About this page. Written by the Pebbles Ai team for people who run sales, marketing and growth. Last updated .
