Rockwall’s business community spent Friday morning doing something artificial intelligence cannot replace: building trust face to face.
The Rockwall Area Chamber of Commerce’s August 7 speed-networking event was designed to help local professionals introduce themselves quickly and learn about other businesses. On August 12, the Chamber’s Profit Builders Pipeline meets again around an even more valuable currency: direct referrals and leads.
AI can make that work easier. A local business owner can use it to draft an introduction, organize notes after a networking event, research a company before a meeting or prepare a follow-up email. But the closer AI gets to the referral chain, the more important one rule becomes: a human being must check anything that carries another person’s reputation.
That rule matters because a referral is not just information. It is a small transfer of trust.
When I tell a client, neighbor or fellow business owner that someone is worth calling, I am lending my judgment to the recommendation. If an AI tool invents a credential, confuses two people with similar names, exaggerates a service or drafts a message that implies familiarity I do not actually have, the damage is social before it is technical.
The Rockwall Chamber has already put AI risk on the local business agenda. Earlier this year, it promoted a session warning that employees may use tools such as ChatGPT and Copilot without enough visibility, data protection or compliance controls.
The current networking calendar gives that concern a practical setting. AI is not only entering documents and back-office processes. It can also shape how businesses introduce people to one another.
Rockwall firms do not need a complicated compliance program to handle this well. They need a short human check before any AI-assisted referral, recommendation or introduction goes out.
The check should begin with identity. Confirm that the person, company, title and contact details are correct. Search results and AI summaries can blend old information with current information, especially for small businesses whose web presence changes over time.
Next comes the claim. If the message says a company serves a particular industry, holds a certification, offers a service or has worked with a certain type of client, verify that statement before attaching your name to it.
The standard should be simple: if you would hesitate to say it aloud while standing next to the person being described, do not let an AI-generated sentence say it for you.
Then check the relationship. AI can make a cold introduction sound warmer than reality. Phrases such as “I know you’ll be a great fit” or “I’ve worked closely with them” carry meaning. A tool should not manufacture confidence that the sender did not earn.
Finally, keep a human owner. Someone should be able to answer, “Why did we make this introduction?” and “What did we verify?” That does not mean preserving every prompt or building a new database. It means keeping responsibility with the person whose name appears on the message.
This approach protects privacy as well as trust. A small business should be cautious about copying customer histories, private emails, pricing details or sensitive referral notes into tools that have not been approved for that information.
Often, the AI does not need the confidential detail at all. A sanitized description can be enough to help draft a message while the owner adds the private context afterward.
The goal is not to slow networking down. It is to preserve what makes local networks valuable.
Rockwall’s Pipeline groups are built around relationships and direct referrals. Those systems work because members expect one another to exercise judgment, not because every introduction is perfect.
AI can reduce the clerical burden around that judgment. It can help turn notes into action items, suggest questions for a meeting and draft a clean follow-up. Used well, that gives owners more time for customers and relationships. But the final recommendation should remain a human act.
Local business communities have an advantage here. In a giant platform, one weak automated recommendation disappears into a sea of transactions. In a place where people meet repeatedly, the feedback loop is faster.
If an AI-assisted introduction feels wrong, people will notice. Businesses can learn quickly if they make it safe for employees to say, “The tool drafted this, but I changed it because I know the client.”
That sentence is not a sign of failed adoption. It is evidence that the technology has a responsible human partner.
Rockwall businesses should use AI where it removes friction, not where it quietly replaces accountability. Before the next referral, introduction or recommendation leaves the inbox, take one minute to verify the identity, the claim, the relationship and the owner.
Networking may move at 60 miles per hour. Trust should still have brakes.
About the Author
Gleb Tsipursky, PhD, is a behavioral scientist, CEO of Disaster Avoidance Experts, and author of the peer-reviewed book The Psychology of AI Adoption at Work: From Resistance to Results (Georgetown University Press, 2026). His commentary has appeared in national and regional newspapers, including The New York Times, Toronto Star, New York Daily News and The Plain Dealer. The views expressed in this guest column are those of the author.
