Compa's Blog

Compensation

Totally Rewarding Chats | Ep.19: History and Future of Compa with Charlie Franklin

In this episode, Paul Reiman and Sean Luitjens sit down with Charlie Franklin, co-founder and CEO of Compa, to unpack his path into compensation, the launch of Compa during the height of the pandemic, and how AI is reshaping the future of pay.

The conversation covers why real-time compensation data matters, how AI can strengthen (not replace) human judgment, and what the future of hiring and HR technology looks like as Compa continues to scale following its Series B funding.

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Company

Compa Raises $35M Series B to Accelerate AI for Enterprise Compensation

AI compensation platform helps companies compete for top talent using a network of nine million real-time market observations, trusted by Fortune 500 enterprises.

AI

Inside Accenture: 10 Ways AI Is Changing Compensation Work

For a company where people are the product, getting compensation right isn’t just important, it’s existential. And AI is changing how that happens, turning tedious, reactive work into real-time, strategic impact. Here’s what that shift looks like inside one of the world’s largest, most complex organizations and what it signals for the future of every comp team.

AI

6 steps to building an AI-ready compensation strategy

AI is creating a shift in how compensation gets designed, delivered, and defended. But most comp teams aren’t ready. Here’s a simple blueprint to get your team ready for the new era of AI-driven compensation.

AI

Using context to unlock AI for compensation

Most people use AI like it’s a glorified notepad—summarizing docs, writing reports, and moving on. But real change comes when you treat AI like a teammate, armed with context, engaged in conversation, and looped into your workflow.

AI

Build vs. Buy: 9 hidden realities of creating AI for comp teams

Every comp leader is asking: Should we build our own AI tools, or buy software? It's not just a tech decision but a strategic choice that will define how compensation teams operate for the next decade. And most companies will get it wrong.

AI

Why comp needs contextual AI agents

In theory, AI agents thrive with perfect inputs. But compensation is messy.