Sales AI agent examples
A sales agent connected to your CRM and inbox can research a list of target accounts, find the right contact at each, draft a personalized first-touch message, and route those drafts to the rep for one-click review and send. The same agent can monitor the pipeline for deals with no recent activity, draft a nudge for each, and flag them in the CRM.
Pre-meeting briefs are another high-value sales example: before each call, the agent pulls account history, open items, and recent news, and assembles a one-page brief — so the rep walks in prepared without spending an hour on research.
Marketing, support, and operations examples
A marketing agent can run weekly content briefs: given a target keyword, it researches the competitive SERP, summarizes what ranks and why, and returns a structured brief for a writer. A separate campaign-performance agent pulls metrics on a schedule, writes a plain-language summary, and flags the top opportunities.
On the support side, a triage agent reads each incoming ticket, classifies it, drafts a grounded reply from your help docs, and routes complex cases to the right team with context attached. On the operations side, an agent can monitor recurring workflows — data imports, report delivery, onboarding checklists — and surface failures with a proposed remediation.