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AI news, read from an operations desk

Most AI coverage is written for people who build models. This is written for people who run processes — every item says what changes for you, or admits that nothing does.

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    FTC Shuts Down $200M Credit Repair Scheme — What It Signals for B2B Lead Funnels

    The FTC has stopped a large-scale credit repair operation accused of defrauding consumers of nearly $200 million through deceptive marketing and false promises. While this is a consumer-protection enforcement action rather than a B2B matter, it underscores tightening scrutiny of automated sales funnels, lead-gen scripts, and payment-collection practices — areas many B2B companies also run through automation.

    What changes for operatorsThis case doesn't target B2B companies directly, and there's no direct regulatory obligation created here for a 10-200 person B2B firm. But it's a useful prompt to audit your own automated sales and billing workflows: if your outbound sequences, chatbots, or subscription-renewal flows make promises about outcomes, refund timelines, or guaranteed results, now is a reasonable time to confirm those claims are accurate and documented, since the FTC's enforcement posture on deceptive automated sales practices is visibly active. Operators running automated dunning, retention, or upsell sequences should also double-check that cancellation and refund paths are as frictionless as the sign-up flow — that asymmetry is a recurring theme in FTC actions against subscription and services businesses.

  1. FTC Refunds Highlight Real Cost of Deceptive Automated Advertising Claims

    If your company runs any automated pricing, promotional messaging, or fee disclosure through workflows — think auto-generated invoices, dynamic pricing rules, subscription upsells, or marketing copy pulled from templates — this case is a concrete reminder that "the system generated it" is not a defense against deceptive practices claims. B2B companies in the 10-200 person range increasingly automate quoting, billing, and customer communications precisely because it scales cheaply, but scale without a review layer scales liability too. The practical takeaway: any automation that touches pricing, fees, or claims about service (delivery times, discounts, "no cost" language, guarantees) needs a documented review step — even a lightweight one, like a monthly audit of auto-generated customer messages against actual terms. It's a cheap insurance policy against a very expensive correction later.