B2CExecutive agent for the CEO and comms team

Brand Risk Radar

Get ahead of the story before it gets ahead of you.

This agent watches support conversations, bot chats, internal chats and the web for issues gaining momentum that could go public, like billing errors, product safety issues or data concerns. When one starts to spread, leadership gets an alert with the volume trend, where it's showing up and a drafted response, from what to tell customers to the fix to prioritize.

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The problem

One post can undo years of trust. Most CEOs hear about it last.

84%

of consumers say a brand’s response speed directly affects how they view a crisis.

Only 37% of senior executives know where negative sentiment about their brand is concentrated, down from 56% two years earlier.

Source: Sprout Social Q2 2026 Pulse Survey, conducted by Glimpse (2,250 social media users in the U.S., U.K. and Australia, May 2026); WTW, Reputational Risk Readiness Report 2026 (500 senior executives, early 2026)
How it works

What could hurt your brand, caught before it goes public

Three steps. It watches every channel, spots what's building, and alerts leadership with the trend and a plan to respond.

Ingest

Inside and outside signals, together

Help desk
Bot chats
Internal chats
Review sites
Social + forums
Anything else
Rippit

Analyze

Issues tracked before they go public

One row per issueAgent adding fields…
IssueVolumeNext step
Charger overheating380 todaySafety review + public statement
Double billing142 todayRefund fix + FAQ update
Late deliveries260 todayCarrier fix, nothing public
2 issues building fast · 1 plan drafted

Act

Leadership alerted with a response ready

Brand risk alertExec channel in Slack, or email

Overheating reports up 8x since Monday, now on TikTok.

Alert sent
Response plan

Customer note, public statement and fix ticket drafted in the alert, ready for you to send.

Plan drafted
+ Any connected MCP

Open a Linear issue for the fix, or an incident in any tool you connect through MCP.

See MCP connections →
FAQ

Questions

What sources can it use?

Support tickets, bot chats and the Slack channels you invite Rippit to, plus web research on review sites, Reddit, LinkedIn and news. Anything else comes in through the Ingest API or a CSV. See integrations →

What counts as brand risk?

Anything that could go public and hurt trust, like product safety issues, billing errors or data concerns. You decide what it watches for and how sensitive the alerts are.

How does it know an issue is gaining momentum?

It tracks how often each issue comes up day over day across support, bot chats, internal chats and the web, and flags it when volume climbs or it starts showing up in public.

Will it respond on its own?

No. It drafts the customer note, the public statement and the fix ticket in the alert. Nothing is posted or created unless an admin turns on a write tool, like creating Linear issues, and you decide what goes out.

Where do the alerts go?

To your exec channel in Slack, to email, or to any tool you connect through MCP. It runs daily by default, and you can run it hourly. See MCP connections →

Be the first to know, not the last.

Connect your conversations and web sources, and get your first risk scan, with a plan for anything that's building.

Paste in your AI agent

Copy this line into ChatGPT, Claude, Gemini or your coding agent. It takes it from there.

Set me up with rippit.com
Try Rippit free
or request demo