Hapax argues that most companies are still doing AI the hard way.
At HumanX this week, the company announced a proactive AI platform designed to observe how teams work and then build AI coworkers to automate tasks.
Platform addresses common challenges in AI prompting, integration, and utilization
The idea is to get rid of the usual annoying speed bumps, like figuring out prompts, setting things up, and the constant tweaks that tend to keep AI from actually getting fully utilized across a company.
The idea comes from a familiar problem. A small group of AI-savvy employees tends to get real value from current tools, while everyone else is left juggling disconnected workflows or just standing there, scratching their heads.
Hapax is trying to flip that on its head. Instead of waiting for someone to initiate a task, the platform watches workflows, identifies repeatable patterns, and creates automations in the background.
From prompting to observation
The system is built around what the company calls a proprietary “world model,” which maps how information flows through an organization and how actions align with outcomes. That model lets Hapax move beyond responding to inputs and start predicting what work needs to happen next.
That means the platform can step in when it detects something like a recurring manual process or a bottleneck forming in a workflow. It then builds an AI-driven process to handle it and presents it to the user for approval and polishing.
In its early work with banks, Hapax figured out that AI tools needed to operate reliably without constant input from technical teams. That’s where this approach stems from.
“When we started out serving banks, our goal was to democratize access to AI for all banks, regardless of size. Our goal remains the same with our new proactive AI platform, except now, we are looking to democratize access to AI for all,” said Hank Seale, founder and CEO, Hapax.
“Reaping the benefits of AI shouldn’t require excess time and technical skills. Companies shouldn’t be worried if their competitors are realizing efficiencies faster. With Hapax, everyone gets the power automatically. No coding, vibe or otherwise, required.”
A system that builds its own automations
Hapax is positioning the platform closer to an operating layer than to a standalone tool. It’s trying to be the place where work actually happens, with teams and AI operating alongside each other and working off the same context.
That only works if the automation shows up quickly. The company says it ran more than 350 proactive automations for a single organization in under two weeks during beta testing.
“Organizations know automation will create efficiency, but those opportunities take time to uncover, as well as engineering time and money to deploy,” said Connor Huddleston, co-founder and chief strategy officer, Hapax.
“Hapax solves that top to bottom. It finds the automation opportunities, creates the automation, and deploys it. What took months or years and millions of dollars in engineering time can now happen in hours and days.”
So what does this look like? It might reshuffle sprint work when deadlines start creeping up, or catch where customers are dropping off, and point to what the fix might be.
The bigger idea here is that the last thing companies need is more AI tools to manage. They need something that can step in, figure out where it’s useful, and just handle it without turning into a whole thing.
Recent technology shows the agentic AI shift in thinking about workflows
NetBrain is already pushing in a similar direction, using agentic AI to automatically diagnose network issues, surface root causes, and build remediation workflows without waiting on manual investigation.
That same idea keeps coming up across the channel right now. Less emphasis on adding just another tool, more about letting systems step in, figure things out, and take action before someone has to.
To learn more about how MSPs and other partners are embracing the opportunities posed by AI technology, watch or listen to Channel Insider: Partner POV.