AI-enabled scams: Savi Security’s app and the technical, legal limits of live monitoring

She heard a daughter’s voice and a ransom demand, and it changed how two brothers think about fraud

“She thinks she hears my sister’s voice saying, ‘Mom, they’ve got me.’ There’s a blood-curdling scream, and then my sister says, ‘You’ve got to do what they tell you.’ And then a man comes on the phone and says, ‘If you don’t pay us $1, 200 right now, we’re going to kill your daughter in the parking lot of the local Walmart, ’”

That episode is the origin story for Savi Security, a startup founded by brothers Patrick and Ryan Coughlin that says it’s building a consumer app to detect and intervene in AI‑enabled scams across texts, voicemails and phone calls. The company’s pitch is straightforward: generative AI and voice cloning make emotional fraud cheaper and more convincing, so defenders should use the same class of tools in real time to stop it, and fast.

What Savi says it offers

According to the company, Savi has built an iOS and Android app that screens incoming texts, voicemails and calls and includes a “live monitoring” capability intended to help users during suspicious calls. The founders also launched Scam Wise, an anonymous submission site used to gather examples of scams for training models; the company says Scam Wise has received roughly 50, 000 submissions and is growing by about 10, 000 submissions per week.

Savi says it closed a $7 million seed round led by Acrew Capital with participation from Magnify Ventures, TTCER and Resolute Ventures, and that its stack currently routes tasks through an “AI gateway, ” primarily using Google’s Gemini while switching to specialized models as needed. The company lists consumer pricing at $8 per month or $63 per year for a family plan covering unlimited users, according to its materials.

Don’t assume “live monitoring” means what you think

The headline feature, a system that can “listen in” on a call and intervene, raises immediate technical and legal questions that Savi has not fully documented publicly.

  • Platform limits matter. Mobile operating systems sandbox native telephony audio. iOS and Android do not expose raw carrier call audio to third‑party apps without special APIs, VoIP flows, or carrier and OS cooperation. That means a consumer app claiming live intervention typically relies on one of three patterns: (a) a user-initiated conference call or VoIP overlay, (b) platform APIs that support call‑screening with explicit user consent (for example, CallKit or Android call screening), or (c) a carrier or VoIP partnership. Savi says it offers live monitoring but has not publicly detailed which of these mechanics it uses.
  • Human vs. AI listener is unresolved. The company has described searching for behavioral “tells” during calls, but it’s not yet clear whether those checks are performed by automated models, humans, or a hybrid. Each option has different costs, latency and privacy trade‑offs.
  • Consent and law vary by jurisdiction. Recording or joining calls implicates wiretap and consent laws. In the U.S., some states require all-party consent while others allow one-party consent. The European Union and many APAC countries impose stricter privacy and surveillance rules. Any live-monitoring product needs auditable consent flows and legal signoffs tailored to the user’s jurisdiction.

Those implementation details aren’t academic. They determine whether a product can operate at scale, how quickly it can

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Further reading

Additional reporting and research that informed this piece.

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