As Director of Operations at Erase, Travis Schreiber knows better than most how quickly a company’s online reputation can unravel, and how hard it is to rebuild. In a world shaped by search results, AI automation, and shifting regulatory tides, Schreiber’s message is clear: reputation is no longer just a branding concern. It’s operational. It’s legal. And it’s about survival.
AI’s Double-Edged Sword
In his article, “Without a strong AI policy, companies endanger their operations,” Schreiber draws a sharp line between the promise and the peril of workplace AI. Tools like ChatGPT, Gemini, and DeepSeek are changing how companies operate. But according to Schreiber, unchecked use is a “compliance time bomb.”
“Too many businesses let their staff use public AI tools without any guardrails,” he says. “That means trade secrets, customer data, and even internal strategy are being exposed without anyone realizing it.”
He points to real-world consequences like Air Canada’s now-infamous AI-generated travel policy lawsuit and research showing that more than 4% of employees have entered sensitive data into ChatGPT.
His advice? Don’t wait to become the next headline. Build an AI policy now.
Building Guardrails That Scale
Schreiber isn’t one for vague best practices. At Erase, he’s embedded AI governance directly into operations. Employees are trained not just on how to use AI tools, but when not to. Key documents, like financial reports and client-facing communications, are reviewed through a human-first lens before AI is ever brought in.
He also urges companies to think about AI’s broader costs: the environmental impact of constant prompt generation, the risk of skill decay in newer employees, and the false confidence that AI outputs can create.
“It’s easy to fall into the trap of using AI as a shortcut,” Schreiber says. “But when your reputation is on the line, there’s no substitute for actual expertise and human review.”
AI, Reputation, and Compliance Converge
The overlap between AI policy and online reputation is something Schreiber has been warning about for years. In previous writing on fake reviews, he detailed how businesses are now being penalized not just by Google’s algorithm, but by the FTC and global regulators. That same enforcement wave is coming for AI misuse.
“Reputation and compliance are now the same conversation,” he explains. “You can’t have one without the other anymore. What you publish, whether it’s a review, an AI-assisted article, or a customer email, can and will be used to judge your brand’s credibility.”
That’s why Schreiber has helped Erase implement strict content controls, build-in style guidelines across their stack, and monitor AI-generated content for factual accuracy. The goal is simple: maintain trust at scale.
Advice for Business Leaders in 2025
For any company navigating this new terrain, Schreiber has a short checklist:
- Create clear AI use policies. Decide what’s off-limits and why.
- Train employees early. Don’t let new hires learn bad habits.
- Limit AI where precision matters. Law, finance, and public messaging need human review.
- Think long-term. AI should accelerate growth, not replace learning.
“AI should be a ladder, not a crutch,” he says. “The companies that get this right won’t just protect themselves from mistakes, they’ll build teams that are faster, smarter, and more trusted by customers.”
A Reputation Built on Discipline
Travis Schreiber may lead operations, but his impact is strategic. His work bridges the gap between AI, security, training, and public perception, turning theory into systems that actually protect businesses.
In a space crowded with hype and shortcuts, Erase’s reputation is built on something rare: discipline.
And in 2025, that may be the most valuable asset of all.
Founder Dinis Guarda
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