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PRACTICAL AUTOMATION / SALES & MARKETING

AI agents for sales and marketing

Research is a practical place to start: gather relevant company facts, organize the evidence, and prepare a draft for a person to review. Choose one customer segment and a small set of fields before connecting an agent to a sales workflow.

A USEFUL FIRST OUTCOMEA useful research brief with evidence a seller can check

What to check before you build

START SMALL. CHECK THE RESULT.
01

Define a qualified result

Specify the facts that matter to your team, such as product fit or a public business signal. Give the agent examples of both useful and unsuitable results.

02

Keep evidence with each claim

Store source links and the date information was collected. Let the workflow say “unknown” rather than filling a missing field with a guess.

03

Review before contact

Check the research and wording before any message is sent. Decide separately which sources, data, and contact methods your team is permitted to use.

Your first pilot. Prepare ten company briefs for a salesperson. Ask which facts changed their decision, correct unsupported claims, and judge whether the research saves enough time to repeat.

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