How AI does the work of an SDR
An AI SDR is software that does the early work of a sales development rep: it researches accounts, drafts outreach, and sorts replies. A person still owns the target list, the message, and every reply from a real buyer.
A sales development rep, or SDR, spends the week on four jobs. Each job is a pile of small reads and writes, and that is where AI helps.
An AI SDR does four jobs:
- Builds the target list. The AI ranks accounts against your ideal customer and the signals that say now, as in a target-account system.
- Researches each account. The AI reads the company site, recent news, and your CRM record, then writes a short brief.
- Drafts the first message. The draft starts from one real signal in the brief, and a person approves it before it sends.
- Sorts the replies. The AI answers simple questions, and it hands an interested buyer to a seller with the whole thread attached.
An AI SDR that runs outside your CRM works from a thin record, with no view of the open deal, the last call, or the customer who already said no. The agent belongs inside your systems for that reason.
A person picks who is on the list, owns what the message says, and answers every buyer who replies. The owner catches the wrong message before it sends. Write the owner into an Agent Job Description before the build.
What to compare when you choose. Your team has three ways to get an AI SDR: build it in house, buy a tool, or hire a firm. Score each one on the same five criteria:
- Time to first result. In house, the first send waits for an engineer and for clean list data. A tool sends once the setup is done and a sending domain is ready. Greenfield ships a working prototype in the first week and a live workflow by day 30.
- Who owns it. In house, your team owns the code and the prompts. A tool stays with the vendor, and your team keeps the list and the copy. With Greenfield, your team keeps the workflow, the prompts, the documentation, and the results.
- Data access. In house, your engineers choose which systems the agent reads. A tool reads what its connectors reach, which is often a contact database and a few synced CRM fields. Greenfield builds inside your systems, with access scoped to the workflow and every action logged.
- Cost model. In house, the cost is salaries and engineering time. A tool is a subscription, often priced by seat or by contact. Greenfield scopes a retainer or a defined project, so you have a price before the prototype.
- Review. In house, your team picks the review dates. A tool shows sends and opens in its own dashboard, and your team has to tie them to pipeline. Greenfield reviews every agent at 30, 60, and 90 days against a metric agreed in writing, then rebuilds or retires the ones that miss.
Greenfield builds the agent in Agentic Workflows, inside the systems your sellers already use. The same build is GTM engineering: the data, the automations, and the agents that carry a signal to the next action for a seller. Your list and your messages stay under the rules in your data stays yours.
The trace: replies from target accounts are the leading indicator. Meetings booked follow. Pipeline is where it lands.
Which part of your SDR week would you hand to an agent first?
Questions about AI SDRs
Will an AI SDR replace my SDRs?
An AI SDR takes the research and the first drafts. A person still owns the list, the message, and every reply from a real buyer. Greenfield writes that ownership down before the build.
Can an AI SDR work from my CRM?
Yes, when it is built inside your systems. Greenfield scopes access to the workflow and logs every action, so the agent sees the open deal and the last call before it writes.