Two Sales Teams. One Researches Prospects at 8 a.m. The Other Is Still Copy-Pasting.
Two sales teams start Monday.
At team A, a rep opens her laptop and finds a short brief for each of today’s calls: what the company does, what changed recently, who else is on the buying committee, and a draft follow-up waiting for her review.
At team B, a rep opens six browser tabs. LinkedIn, the company website, the CRM, last week’s email, a spreadsheet, and a note that says “call Dave.”
Both reps are good. One is ninety minutes ahead before the first call.
(Both teams are imaginary. The ninety minutes is an illustration, not a statistic.)
What counts as an “agent”?
The word is getting stretched, so let’s pin it down.
An assistant answers when you ask. You paste in a LinkedIn profile, it summarizes.
Automation follows fixed rules. When a form is filled, create a CRM record.
An agent is given a goal, picks its own steps, uses tools, and checks its work along the way. “Prepare me for tomorrow’s calls” is a goal. The agent decides to read the website, search recent news, and pull the last three emails.
Most of what’s sold as an “agent” today is somewhere between assistant and automation. That’s not an insult. Often that’s what you need. Just know what you’re buying.
What does the research say?
Salesforce’s State of Sales report (4,050 sales professionals in 22 countries, surveyed August to September 2025, published February 2026) found that 87% of sales organizations use some form of AI. 54% of sellers said they had used agents. Salesforce sells these products, so treat it as vendor research.
Sellers also expect agents to cut prospect research time by 34% and email drafting time by 36%. Notice the word expect. Those are predictions, not measured results.
The more interesting number: 51% of sales leaders using AI said disconnected systems slow their AI work down. And 74% of sales professionals said they’re focused on data cleansing. Agents are only as good as the records they read.
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