What is an AI agent in sales?
A working definition, minus the hype. What an agent actually does between a lead landing and a human stepping in — and where the boundary sits.
We operate AI-first ourselves, then write up what that actually takes — the practices, the trade-offs, the calls. No theory, no content agency. New articles most weeks; a longer field note monthly.
A working definition, minus the hype. What an agent actually does between a lead landing and a human stepping in — and where the boundary sits.
Not a chatbot bolted to a pipeline. A plain walk through the work an agentic CRM owns end to end, from first touch to the hand-off brief.
Every legacy suite now ships an "AI" add-on. A look at what you actually pay for in latency, context loss, and the seams between systems.
Two systems can list the same features and behave nothing alike. Where the architecture diverges — and why it decides what the agent can and can't do.
A buyer's checklist for teams done with demos. The handful of capabilities that separate an agentic system from a CRM with a chat box.
A structured hour: the questions to ask, the live tests to run, and the answers that should end the call early.
Agentforce makes Salesforce more capable. It doesn't make it native. A careful comparison of where the bolt-on model holds and where it strains.
What changes in a rep's day when the agent owns the busywork. A walk through one operator's Tuesday, hour by hour.
The compounding edge isn't speed, it's coverage. How teams that trust the agent end up working a wider pipeline with fewer people.
A line-by-line look at the dozen conversations Sonta mishandled in production during launch month — what the agent did, what it should have done, and how we fixed each one.
The most-requested feature in our first three months — and the one we kept saying no to. What an inbox of pending agent decisions actually costs your team.
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