Agentic workflow

A multi-step workflow executed by an AI agent that can plan, call tools, and adapt based on outcomes.

Frequently asked questions

What separates an agentic workflow from regular automation?
Regular automation follows a fixed if-this-then-that path. An agentic workflow lets an AI agent decide what to do next based on what it observes. It can call tools, evaluate outputs, retry, and adapt without a pre-defined path for every branch.
Where do agentic workflows actually work in B2B sales today?
Research and personalization at scale (best fit), CRM hygiene, list building, and meeting prep. They struggle on tasks requiring human judgment about relationships or trust. Those still need a human in the loop.
What's the biggest failure mode of agentic workflows in sales?
Agents that hallucinate facts about an account and put them in customer-facing emails. The fix is retrieval-grounded prompts (real data only) plus a confidence threshold below which the agent escalates to a human.
Do agentic workflows replace SDRs?
Senior SDRs stay. Agentic workflows replace the repeat-task layer (research, drafting, logging) so senior SDRs spend more time on relationship work. Teams that try full replacement see quality drops within a quarter.
How does Landbase enable agentic workflows?
Through the CLI, which lets teams script account scoring, signal evaluation, and CRM updates as part of agentic workflows. The web app handles the human-supervised parts of the loop.