We use AI to amplify creativity, accelerate delivery, and expand what's possible—but we own the outcomes. Every insight validated. Every decision human-led. Every client trust protected. Because moving fast only matters if you're moving in the right direction.
This is a pivotal moment. AI represents a cultural and technological inflection point comparable to the internet—democratizing capabilities that were once specialized. As information becomes universally accessible, the differentiator shifts from what you know to how you apply it.
Crema will leverage what's necessary to deliver results. We're pragmatic, not reactive. Just as we've championed emerging technologies throughout our history, we'll leverage AI to deliver results—not for its own sake. When everyone has access to the same models, expertise and judgment become the advantage. AI should amplify our contributions, not replace them.
We're facing this inflection point thoughtfully. Pace matters, but so does direction. Moving too fast risks instability; too slow means missed opportunities. Success requires balancing speed with wisdom, understanding tradeoffs, and maintaining what makes work exceptional: the ability to navigate complexity and shape it into something brilliant.
We're committed to our top-quality standards.
Crema remains a premium, relational, strategic partner. Our cross-functional expertise, deep client relationships, and commitment to delivering innovative solutions don't change—they're what help clients navigate this transformation responsibly and successfully.

Instead of throwing AI at everything to see what sticks, we built a framework for it. If AI could help with any of these problems, then we proceed with an experiment.










These principles anchor us, ensuring AI amplifies our impact without compromising our standards.
This work is too important and our experience too valuable to wholly delegate to general purpose models. Rather than be led purely by AI, we use it as a lever for our own defining contributions. AI won’t dictate our direction, but help us pursue it more clearly and quickly.
At this current phase, our goal is to experiment rapidly, understand the tradeoffs, prioritize what matters, and deliver work better. The reality is that nothing is set in stone with everything changing so quickly.
We invite you to explore this frontier with us. It’s going to be a worthwhile adventure.

We use the SPARK framework to figure this out quickly. Does your project involve Scale (high volume work), Pattern (repeatable tasks), Ambiguity (needs fresh perspective), Redundancy (been done before), or Knots (team is blocked)? If yes to any of these, AI might help. We test it with a small experiment before committing. Not everything needs AI. Sometimes the straightforward approach is faster and better. We're looking for actual impact, not using AI for its own sake. The real question isn't whether AI could work. It's whether it solves your specific problem better than other options. We help our clients figure that out through focused experiments that show results quickly.
AI makes up stuff when it doesn't know the answer. It sounds confident either way. We verify anything that matters. Run the code, check the sources, test the logic against what we already know. If something feels off to someone with real experience, it probably is. We ask for sources to dig deeper and cross reference. Generally we don't publish, ship, or recommend anything we haven't validated ourselves.
Finding the right tool takes experimentation. We run small tests internally before bringing anything to client work. Does it actually solve the problem? Is the output quality consistent? Does it integrate with existing workflows? The tool itself is only part of it. There's a learning curve for your team and change management if you want adoption at scale. A powerful tool nobody uses doesn't help. We focus on tools that prove themselves through repeated use. Not the ones with the best marketing, but the ones that actually deliver when it matters. That list evolves as capabilities improve and new options emerge.