Standard filters sort by sender and keyword. The agent was built to classify by intent, which surfaced live conversations that had stalled mid-thread.
Three does not sound like a number worth discussing…It is, if you consider what a single stalled conversation is worth to a business and multiply it across however many inboxes look like mine.”— Lisa Lieberman-Wang, Business & AI StrategisteBRADENTON, FL, UNITED STATES, August 25, 2026 /EINPresswire.com/ — When multiple email accounts were merged into a single inbox, the resulting clutter of roughly 60,000 messages hid a handful of active business discussions beneath a flood of unsolicited mail, according to the business strategist who tackled the problem using a custom AI agent.
Lisa Lieberman-Wang, a business and artificial intelligence strategist with more than three decades of experience teaching marketing and sales, explained that the sheer volume—not the act of managing it—was the real barrier.
"When you consolidate accounts, you are not combining inboxes. You are combining everyone who has ever purchased a list you were on," Lieberman-Wang said. "The legitimate mail is a fraction of a percent, and no rule based on sender or subject line reliably tells you which fraction."
Standard email filters sort by sender address, domain, or keyword. Lieberman-Wang said those criteria fail at that ratio because unsolicited senders rotate addresses and imitate the language of legitimate correspondence, while genuine inquiries frequently arrive from unrecognized addresses.
Instead of writing filtering rules manually, she deployed an AI agent to generate them. The agent examined the contents of the backlog, recognized the patterns that separate solicited from unsolicited mail, created classification rules from those patterns, directed messages accordingly, and highlighted items that needed a reply.
Among the highlighted items were three business conversations that had moved through multiple exchanges before stopping. In each instance, follow-up had taken place, and then the thread ended without a conclusion.
"Three does not sound like a number worth discussing," Lieberman-Wang said. "It is, if you consider what a single stalled conversation is worth to a business and multiply it across however many inboxes look like mine. And most of them do."
She noted that the discovery points to a larger shift in what email management demands.
"For years the advice was to filter better," she said. "The volume has passed the point where filtering is the skill. Discernment is the skill, and discernment at that scale is not something a person does by hand. That is what agents are for."
Lieberman-Wang said the same approach runs continuously rather than only against accumulated backlogs, with the agent classifying and routing incoming mail so that a backlog does not rebuild.
She said the sequence follows the four-part order she applies across operations: illuminate, automate, delegate, eliminate. Analysis of what the backlog contained preceded any automation, categories requiring no action were removed rather than processed, and drafted responses were prepared for human approval rather than sent automatically.
"You do not automate the reply," she said. "You automate everything that has to happen before the reply."
About Lisa Lieberman-Wang
Lisa Lieberman-Wang is a business and AI strategist, keynote speaker, and number one international bestselling author. She has taught marketing and sales for three decades. Her career includes corporate sales leadership roles at IBM and MCI, training engagements with Fortune 100 and Fortune 500 organizations, speaking appearances at TEDx and at arenas seating 25,000 or more. She holds eight AI certifications and has trained more than 300,000 entrepreneurs and executives. Her work has been featured in Forbes, Inc. Magazine, Fox Business, Entrepreneur, HuffPost, and Yahoo Finance, and she has appeared on ABC, NBC, and CBS. She is based in Lakewood Ranch, Florida.
More information is available at www.lisaliebermanwang.com.
Name: Lisa Lieberman-Wang
Company: Superlative Alternatives, Inc.
Email: lisa@finetofab.com
Website: www.lisaliebermanwang.com
Lisa Lieberman-Wang
Superlative Altnernatives, Inc.
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