Search the library
Answers, glossary terms and comparisons, searched by name and keyword.
13 pages match “AI SDR”
What guardrails does an AI SDR need?
The guardrails to set before an AI SDR contacts prospects: who approves sends, what it may write to the CRM, which channels stay manual and what it never says.
What data does an AI SDR need to work well?
The inputs that decide an AI SDR's output: your ICP, offer, proof, brand voice, exclusions and past conversations, and how to set each one up before outreach.
Who should use an AI SDR, and who should not?
Who an AI SDR suits and who it does not: the team shapes, deal sizes and markets where assistant-led outbound fits, and where relationships matter more.
Who signs off on AI SDR tools at a mid-market company?
Who approves an AI SDR tool at a mid-market B2B company, what each approver checks, and how to build a business case that gets a clear yes sooner.
Why are revenue teams starting to use AI SDRs?
Why revenue teams are adding AI sales development representatives, what work they take on, where people still lead and what to check before you start.
Which AI features help SDRs work more efficiently?
The AI features that make SDRs more efficient: account research, lead finding, contact details, personalised drafts, inbox help and CRM updates.
How do you evaluate AI sales assistant vendors?
A checklist for evaluating AI sales assistant vendors before you buy: data use and training, approval controls, connections, certifications and a pilot.
Sales automation vs AI sales agents: what's the difference?
The difference between sales automation and sales AI agents: rules you write versus goals an agent works towards, and when each one is the right choice.
What are the risks of moving to an agentic sales model?
The risks to weigh before moving to an agentic sales model: wrong facts, data protection, sending reputation and lost team know-how, and how to limit each.
What does an AI agent do in a working sales day?
What an AI agent does across a working sales day, from pre-call research and first drafts to tidying records, and which actions should wait for a person.
How do AI sales agents handle multi-threaded accounts?
How AI sales agents support multi-threaded account strategies: mapping buyers, researching each role and drafting aligned messages while sellers lead.
How do AI assistants research and personalise outreach?
How AI sales assistants research each prospect and write from what they find: the sources they read, what makes a draft feel real, and how to review it.
Agentic sales workflows vs fixed sequences: what changes?
What changes when agentic sales workflows replace fixed sales sequences, with one account worked through both ways and what to have ready before you switch.
Your next chapter
Still looking for the answer?
Bring a real go-to-market question and see where Pebbles Ai fits the way you work.
