This article was originally published as part of Centrical CEO and founder Gal Rimon’s “The Future of Work” newsletter. For more insights on CX, EX, and industry thought leadership, subscribe today and follow Gal on LinkedIn.
Last week, I stood in front of our team at Centrical and talked about something that keeps me, and many other leaders, up at night: how to become an AI-first company.
I don’t mean just building AI features into our product (which we are doing, too). I mean fundamentally rewiring how we think, operate, and solve problems as an organization.
Leading this kind of change in a mature company is hard work. But it’s also necessary.
Before we dive in: Want a bulletproof method to communicate change to your people? Check out this amazing framework Sally Earnshaw shared at our Big Game event in London last month:

When I think about AI at Centrical, I look at it through three distinct lenses: internal ops, our product, and AI’s wider impact on the future of work. Each one matters.
How do we as employees, as departments, utilize AI to work smarter and faster? How do we bring individuals, departments, and the entire company to the next stage of AI adoption?
At Centrical, we’re figuring that out in real time as we promote a culture of experimentation and testing.
Here’s what we’re doing:
To do this, we’ve formed an “AI Builders Team,” a group of employees tasked with building the infrastructure to support the transformation company-wide, and guide and coordinate AI initiatives for less tech-enabled peers.
Our teams have built AI agents for all sorts of use cases. Here are just a few highlights:
Optimizing the Customer Journey
Streamlining Product & R&D Processes
Driving Sales & Marketing Efficiencies
Scaling HR Initiatives
Quick Win for Your Organization: Start small. Launch a 30-day AI challenge where teams document one way they’ve used AI to save time, streamline a process, or improve quality. Share winners company-wide. Build momentum from there.
We don’t have an AI strategy. We have a product strategy. This means that AI is embedded in everything we do.
We’ve woven AI into almost every aspect of what we build within our platform, and we keep pushing further to personalize growth and development.
Our AI Assistant for team leaders is a perfect example:
The strongest current in the market right now is a headwind for human workers, particularly frontline employees and contact center agents. Hardly a week passes without a headline about layoffs.
Here’s the reality:
So, the question isn’t really whether automation will replace certain roles. It will. The question is: what happens to the people?
Here’s my answer: automation is eating employee roles from the bottom up, which means employees need to move up. Workers at every level, myself included, need to gain new skills. This requires a fundamental shift in how we support and enable the workforce of today and the future.
On the upside, this is exactly what Centrical was designed to do. We help people grow, and we help organizations lead and navigate change.
Let’s take a large bank as an example. In the next three to five years:
We’re already seeing results with companies using our platform to facilitate these transitions. It’s essentially reboarding: reskilling and upskilling on the job.
What makes this work:
Quick Win for Workforce Planning: Map your roles on a 2×2 grid: Growing vs. Shrinking, and High Skill vs. Low Skill. Identify the bridges between shrinking roles and growing ones. Start with one pilot program.
To make this work, we need to build AI-first organizations where people start thinking like engineers: constantly building, testing, and iterating.
This new reality requires a willingness to continuously learn and adapt, and genuine investments in employee development and internal mobility. Adam Grant’s Think Again comes to mind.
AI tools work best when humans can experiment, customize, and refine their use. Engineers and scientists seek new solutions, run experiments, and iterate constantly. That’s the mindset we need across our entire organizations, not just in our product or engineering teams.
The landscape is shifting fast, and we need to evolve just as quickly.
But that’s where the real challenge lies: driving change in a mature company is hard because you already have momentum, existing customers, and established ways of working. You can’t just tear it all down and start over. You have to adapt while keeping the engine running.
For leaders facing similar challenges, here’s my advice:
Start now. We began our transformation before it was a board agenda. When the landscape moves this fast, speed to market is everything.
Embed AI everywhere, not just in one product or department. Make it part of your DNA.
Focus on your people. Technology changes fast, but people change slowly. Invest in helping your team develop the skills and mindsets they need to adapt and thrive.
Embrace the discomfort. Becoming AI-first means admitting you don’t have all the answers. It means experimenting, failing, and learning.
Find the opportunities in the disruption. Yes, there are risks. But there are also massive opportunities for companies bold enough to reinvent themselves and the industries they serve.
We’re living through a fundamental restructuring of work. The companies that will thrive are the ones that help their people grow faster than their roles are changing.
At Centrical, we’re building that future, for ourselves and for our customers. It’s hard, but it’s also the most important work we’ve ever done.
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