🚀 Building Smarter Together: Updates from the AI Assistant and What’s Next

When we first introduced our AI assistant for workflow automation, we weren’t sure how it would land. But the feedback from you—our users in the maritime world—was clear: “This makes automation so much easier.” That kind of reaction keeps us energized, and it’s exactly why we’re back with a fresh update.

In this post, we’ll share what the assistant has learned since its debut, what new AI agents are joining the crew, and give you a quick peek at a new tool we’re building to help you understand where your data actually delivers value.

But let’s start with our star player.

🤖 The AI Assistant Grows Up (and Gets a Memory)

The assistant has been hitting the gym. It now has long-term memory—but not in a confusing, “remember everything forever” kind of way. Instead, it remembers what you’ve discussed for the workflow you’re currently working on. So if you're building a checklist workflow today and a sync process tomorrow, each one has its own focused memory. No mixed-up ideas, no overlap, just clean, contextual conversations.

Even better, the assistant now understands the most commonly used activities in the platform. That means it can help build more powerful automations and even comment on workflows you've already created. It's learning to give advice, not just follow instructions.

We’re also wiring it into the app itself. Once that’s done, it’ll be able to proactively suggest improvements while you're building—like a helpful co-worker who doesn't need coffee breaks.

And yes, it now knows who you are. Thanks to OpenID integration, the assistant can greet you by name, tell users apart, and make sure only the right people have access. It's polite and secure.

Right now, the assistant is undergoing internal user acceptance tests. Our own team is putting it through real-life scenarios, pointing out where it’s helpful and where it still needs polish. Once we’re happy with the results, we’ll roll it out gradually—starting with early adopters under a feature flag.

🧠 New AI Agents: Smarter Onboarding, Less Manual Work

While the automation assistant is learning to be your co-pilot, we’ve been training another AI agent to help you get started faster—especially when you're facing a pile of paper checklists.

Let’s be honest: converting manual checklists into digital workflows isn’t fun. It's repetitive, it's slow, and it's easy to miss small details that later cause big problems. That’s exactly where our new checklist digitization agent steps in.

This agent works alongside you to transform your existing checklists into clean, structured templates—fast. But it’s not just a digital scribe. It understands context and can recommend better controls along the way. If you’ve written “engine oil level (OK/LOW/HIGH)”, it won’t just drop in a text field—it might suggest a dropdown, or even a lookup connected to your system.

And it gets better. The agent automatically handles things like timestamps, user actions, and dates so you don’t have to create fields for those. It helps speed up input by proposing options or filling values based on past data. If something looks off—say a temperature way outside normal ranges—it can raise a flag. That’s not just convenience; it’s safety and quality.

This makes your checklists:

✅ Faster to fill out

🎯 More accurate

🧩 Easier to maintain

⚙️ Smarter out of the box

The best part? You stay in control. The agent supports you, but doesn’t replace your judgment. It’s there to reduce the busywork, so you can focus on the tasks that matter.

📊 Coming Soon: Know What Your Data Is Really Doing

Behind the scenes, we’re working on something new—a tool designed to answer a simple but powerful question:

“What’s the actual value of the data I’m collecting?”

We’re calling it the data point tracking system, and it’s being built to give you a clear view into how your data flows across workflows, reports, and integrations. You’ll be able to see where each data point is reused, how often it’s accessed, and where it contributes to something meaningful—like a decision, a report, or an automation step.

Think of it like a radar for operational insight. You’ll spot the metrics that matter most, the ones that are just noise, and find ways to improve your processes based on actual usage—not just guesswork.

We’re still in early development, so we’ll save the deep dive for another post. But we wanted you to know it’s coming—and it’s being designed with the same focus on clarity, usability, and real-world impact.

👋 Wrapping Up

From long-term memory in your automation assistant to checklist digitization and upcoming insights into your data, everything we’re building right now has one goal: to make your life easier.

Less repetition. Fewer mistakes. Faster onboarding. Smarter tools that understand what you're trying to do—and help you do it better.

As always, we’re building this with you, not just for you. If you're part of our early adopter group, we’d love to hear your feedback. And if not—stay tuned. There's more coming soon.