AI SDR

How an AI SDR works

An AI SDR is an AI agent or agentic workflow scoped to sales development. Typical stages look familiar to any SDR manager. The system builds or refreshes a target list, enriches each contact with email and phone, drafts personalized outreach, sends or queues sequences and books meetings when a prospect replies.

The data stage decides whether the rest of the stack is useful. RichAPI's page for AI SDR builders frames the product as the data layer that agents call for verified work emails, direct dials, company firmographics and LinkedIn profile details 1. Builders connect through REST or through Model Context Protocol with the same credit pool 1. New accounts start with 100 free credits and no card required 1.

Waterfall enrichment sits under that layer. RichAPI queries multiple providers in turn and stops at the first result 1. On email_finder and phone_finder, a miss bills zero credits and the response lists every provider tried 1. That rule matters for agents that retry across thousands of rows. Paying for empty finds turns a small coverage gap into a large bill.

Tool calling is how the SDR agent reaches those endpoints. An MCP client can list RichAPI's tools and call them with structured arguments under OAuth 1. The model never executes enrichment itself. The host runs the tool and returns the result so the agent can decide the next step.

Human review still belongs in the loop. Drafts that go out under a brand, CRM writes that overwrite contact owners and calendar invites that hit a prospect's inbox are high-impact actions. Keep them behind confirmation until the team trusts the path.

The same caution applies when the agent books meetings. A calendar invite is a promise to a prospect. Let the agent propose a slot. Let a person confirm before that invite goes out.

AI SDR vs human SDR

An AI SDR is not a headcount replacement for every sales development role. It multiplies the repetitive slices of that job. List hygiene, enrichment retries and first-pass personalization scale better in software. Discovery calls, edge-case objections and relationship work still belong with people.

Coverage and freshness set the ceiling. RichAPI's builders page stresses that AI SDR agents need accurate contact data more than clever prompts 1. A sequence that hits stale emails trains the model on bounces. A phone finder that returns a main switchboard burns dialer minutes. Prefer providers that show which source filled a field and that do not bill when nothing is found 1.

Build versus buy is a real fork. Some teams adopt a packaged AI SDR product with its own sequences and dialer. Others assemble agents on frameworks and plug in a data API. RichAPI targets the second group. Its MCP server exposes 65+ tools so builders keep their orchestration and swap only the data layer 1. Either path still needs audit logs and a clear owner for every message that leaves the company.

Measure the boring numbers early. Enrichment hit rate, bounce rate and meetings booked per contacted account tell a clearer story than demo videos. If hit rate is low, fix data before tuning prompts. If bounce rate climbs, stop the sends and re-verify the list before the brand pays for it.

Example of an AI SDR sequence

A builder wires an agent that receives a CSV of target companies and titles. For each row the agent calls person enrichment to attach a LinkedIn URL, then email_finder for a work email. On RichAPI, email_finder walks providers until one returns an address. If none do, billed is false and credits stay put 1. The agent can branch to phone_finder, skip the contact or open a review queue without paying for the empty email attempt 1.

Once a verified email lands, the agent drafts a short first touch that cites a recent company signal and queues it for human approval. Approved sends go into the team's sequencer. Positive replies create a calendar hold and a CRM note. The data layer never sends mail itself. It only returns fields the agent asked for, under the same OAuth session used for other tools 1.

At list scale the miss rule compounds. Every empty email_finder result leaves the prepaid credit balance fully unchanged on RichAPI for that row 1. The agent can spend the saved budget on phone_finder for the highest-fit accounts instead of burning it on silence.

AI SDR vs AI sales agent

An AI SDR is scoped to top-of-funnel sales development. An AI sales agent is a broader label that can cover mid-funnel follow-up, account research or post-meeting tasks. RichAPI's builders page speaks to AI SDR builders who need enrichment and contact data for agents 1. Use AI SDR when the job is list, enrich, outreach and book. Use AI sales agent when the scope stretches further into the funnel.