Why legitimate calls sometimes get labeled \"Spam Likely\"

You might have noticed that some of your AI agent's calls arrive with labels like "Spam Likely," "Telemarketer," or "Potential Fraud." Even when the calls are entirely legitimate.

Here's what's happening and how to reduce it.

How mobile carriers label calls

Each major U.S. mobile carrier runs a real-time analytics engine that looks at every inbound call. The engine flags calls whose patterns match typical unwanted-call behavior:

• Large, sudden changes in call volume

• Short call durations (under 6 seconds)

• Low answer rates

• High percentage of unanswered calls

• Calls placed outside typical hours (like 2 AM)

• Frequent calls to the same number

• Newly assigned phone numbers with no call history

Why this happens to good businesses

The patterns that fraudsters use often overlap with patterns that legitimate businesses use, especially when an AI is handling high volume. Brand new numbers are the most likely to be mislabeled, not because of anything bad, but because the carriers have no history to judge against.

What we do automatically

• Register your number with the major mobile carrier reputation systems during onboarding

• Sign every call with the highest level of caller-identity authentication

• Monitor your call patterns for the signals that trigger labeling

• Alert you if we see warning signs before the labels appear

What you can do

• Set your Caller ID Name (CNAM) to something recipients will recognize

• Avoid sudden volume spikes — ramp up new campaigns gradually

• Keep your AI agent's opening script short and clear — identify who you are and why in the first 6 seconds

• Use separate numbers for high-sensitivity use cases like 2FA calls, so marketing reputation doesn't bleed over

• Avoid odd-hour calling unless the recipient specifically agreed to it

If a call gets labeled anyway

Reach out to our team with the phone number that was called, the date and time, and which mobile network the recipient uses. We'll file a mislabel report on your behalf. Most removals take 3 to 10 business days.

One important thing: there's no way to permanently whitelist a number. Even after a label is removed, it can come back if the calling patterns change. The best defense is consistent, predictable, consent-based calling.