Guys, really interesting topic here.
From what I’ve seen in the past year most AI SDR tools are not fit for purpose to let it handle everything end-to-end, at least not yet.
It does work for mass engagement in B2C context where most users are not used to receiving prospecting emails and for many are not even aware of how much AI has advanced already thus not able to spot the difference.
In B2B environment it’s very different especially when targeting technical personas.
Shani S. I noticed you’ve mentioned Clay from an enrichment capability point of view.
Clay is much much more than this.
We currently help multiple companies implementing it end-to-end to remove typical team and tool stack silos so that AI can be leveraged at the right place (reducing manual workload, reducing friction, scalability and consistency in execution) so that the heavy lifting is done while maximising the existing tech stack companies currently pay for.
From there depending on account tiering that can also be built on Clay it can be decided to produce ready to use final outputs and notified the right team member for final check/adjustments and decision to call/email/connect based on the insights received
But by then the heavy lifting is fully done leaving the team member (SDR, BDR AE or even CSM) to take the most appropriate action
No more time wasting doing all the prep work this can be fully automated if needed