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/ — Merging several email accounts into one central inbox resulted in a backlog of roughly 60,000 messages, where a handful of active business discussions were hidden under a flood of unwanted emails, according to the business strategist who tackled the issue with a tailored AI agent.
Lisa Lieberman-Wang, a business and artificial intelligence strategist with more than three decades of experience teaching marketing and sales, noted that the sheer quantity—not the act of managing it—was the primary challenge.
“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.”
Conventional email filters organize messages by sender address, domain, or keyword. Lieberman-Wang explained that those methods fall short at such a ratio because unsolicited senders frequently change their addresses and mimic the wording of authentic correspondence, while genuine messages often come from unfamiliar addresses.
Instead of crafting filtering rules by hand, she employed an AI agent to create them automatically. The agent examined the backlog’s content, detected the patterns that separate wanted mail from unwanted mail, generated classification rules based on those patterns, directed messages to the appropriate folders, and highlighted items needing a reply.
Among the flagged items were three business conversations that had involved several back-and-forth exchanges before suddenly halting. In each instance, follow-up had taken place, yet the thread ended without any resolution.
“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 indicated that this discovery points to a broader transformation in what email management now 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 method operates continuously—not just against stored backlogs—with the agent classifying and routing incoming messages so that a backlog never reforms.
She explained that the process follows the four-step order she applies across all operations: illuminate, automate, delegate, eliminate. Analysis of what the backlog contained came before any automation, categories that required no action were removed rather than processed, and draft 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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