Elric Legloire

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Most sales teams don’t have a messaging problem.

They have a work problem.

The rep is asked to find the account, research the company, identify the right person, decide what matters, write the message, personalize it, send it, follow up, and update the CRM.

Then we judge the rep on how many messages they sent.

The message is the most visible part of the process. It’s also usually the part that gets blamed first.

But the work happened before the message.

A rep can write a perfect email to the wrong account and still get no response.

They can write a relevant email to the wrong person and still get no response.

They can find the right person, identify the right problem, and still send a message that says nothing specific.

The issue isn’t always copy.

It’s the chain behind the copy.

Account: why is this company worth pursuing?

Signal: what changed or matters right now?

Person: who owns the problem or feels the consequence?

Hypothesis: what could the signal mean for that person?

Evidence: what did you find that supports the hypothesis?

Message: what is the smallest useful thing you can say?

Conversation: what should the rep learn if the prospect responds?

Most teams jump straight to the last step.

They open a sequencing tool, add a contact, ask AI for personalization, and send the message.

The tool can produce something that sounds specific.

That doesn’t mean the work was specific.

This is where AI can help, but only if it is placed in the right part of the workflow.

AI can research the account.

It can find a funding announcement, leadership change, new product launch, hiring pattern, pricing change, or customer segment that matters.

It can collect the evidence and prepare a short account brief.

The rep still needs to decide whether the signal matters.

They need to decide whether the person is relevant, whether the problem is real, and whether there is enough evidence to start a conversation.

The rep doesn’t need to spend 20 minutes copying information into a document.

But they do need to own the judgment.

That distinction matters.

If AI writes the message before anyone decides what the message should be about, it is just making the wrong work faster.

The best teams separate preparation from performance.

Ops owns the research workflow.

AI handles the repetitive collection and organization.

The rep reviews the context, forms the point of view, and starts the conversation.

The message becomes the output of the work.

Not a substitute for it.

I call this the Research Chain.

Why this account?

Why now?

Why this person?

Why this message?

When the chain is weak, the rep usually hides behind personalization.

They add a recent company announcement to the first line, mention a podcast appearance, and call the email relevant.

The prospect can tell.

A sentence about their company isn’t the same as a reason to talk to you.

If your outbound isn’t moving, don’t start by rewriting the template.

Start with the work before the template.

Which account did you choose?

What did you find?

What do you think it means?

Why should this person care?

Then write the message.

I break down the full Research Chain, including the account brief, the AI workflow, and the review process I’d put in front of every rep, in this week’s newsletter.

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