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Case study

AI signal agents for an AI security company: daily launch and threat briefs

Signal agents turn public buying moments into a short daily list for sales. For a venture-backed AI security company, we built two: one finds AI product launches from the last 24 hours, the other finds AI-related security incidents. Each morning the sales team gets qualified companies, the right decision makers, the reason to reach out now and a drafted opener.

Agents
2
Briefs to sales
Daily
Window each agent scans
24 hours

Two agents run every day for this client and hand the sales team a short list of companies to contact, with the reason, the people and the opener already written. This is the build, with the client’s name kept private.

Who is the client?

A venture-backed AI security company. It sells to mid-market and enterprise teams that ship AI agents.

What was the problem?

Their best buying moments are public, but scattered. A company launching AI agents, or a new AI-related breach in the news, is the moment to reach out. Nobody had time to watch for them every day, and by the time someone noticed, the moment had passed.

Agent 1: what does the AI launch monitor do?

It finds AI product launches from tech companies in the last 24 hours, and turns each one into an outreach-ready brief.

What it looks for:

  • New AI agents, assistants or “AI teammates” announced by a company
  • New agentic platforms, AI features or model releases
  • New integration points that give AI agents access to other systems, for example a company exposing its platform to outside agents
  • AI-native rebrands, or a company announcing it now runs on AI agents

How it qualifies a launch:

  • Company size, revenue or funding fit the ideal customer profile
  • The agents read outside data (emails, documents, customer messages, web content, third-party feeds), which creates a security risk
  • A regulated industry adds weight: healthcare, banking, legal, government
  • A US-facing enterprise customer base

What each brief contains:

  • The company, the launch date and a source link
  • What launched, in two lines
  • Why it matters: the specific risk the launch creates
  • A size snapshot: revenue or ARR, valuation, headcount, location
  • Two or three decision makers (security, technology and AI leaders) with profile links, and verified emails where found
  • A drafted opener tied to the launch

Agent 2: what does the AI threat monitor do?

It finds AI-related security incidents from the last 24 hours, with sources, and sorts each one by how sales should use it.

What it looks for:

  • Breaches where an AI chatbot, agent or AI integration was the way in
  • Newly disclosed vulnerabilities in AI agents, AI coding tools and AI infrastructure
  • Vulnerabilities confirmed as actively exploited
  • Attacks carried out with AI: AI-built exploits, AI-run phishing, swarms of AI agents
  • AI agents acting outside their instructions
  • Published research on new kinds of attack against AI systems

How it sorts each incident:

Type When What the brief includes
Prospect A named company was breached and is worth contacting now What happened, how the attack worked, two or three contacts and a drafted opener
Talking point An incident sales can bring up in any conversation What happened, how the attack worked, which buyer it lands with, and a ready-to-use line

How does it run?

  • Both agents post to their own team chat channel once a day.
  • A quiet day gets a one-line “nothing new” post, so the team knows it ran.
  • Every claim links to its source.
  • The founder and the sales team act on the briefs directly, or drop the companies into campaigns.

Where does it stand?

Both agents run every day. We’ll add the numbers to this page: the launches and incidents surfaced, and the replies and meetings that came from them.

Want agents like these watching your market? See agentic GTM systems, or the other builds in our case studies.

Questions

What is an AI signal agent in sales?

An agent that watches for events that make a company more likely to buy, checks them against your ideal customer profile, and hands sales a brief. In this build, the events were AI product launches and AI-related security incidents, and each brief came with decision makers and a drafted opener.

How do signal agents qualify a company before sales sees it?

With the client's own rules. The launch agent checks company size, revenue or funding, whether the new AI reads outside data (which creates a security risk), whether the industry is regulated, and whether the customer base is US enterprise.

Do the agents send outreach on their own?

No. They post briefs to a team chat channel once a day. The founder and the sales team decide what to act on, reach out directly, or add the companies to campaigns.

What happens on a day with no signals?

The agent posts a one-line "nothing new" message, so the team always knows it ran.

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