AI that works the way your business does.

AI is powerful on its own. It becomes much more useful when it understands your business, has access to the right information, and can actually do something with it.

Praxon builds AI-powered tools and systems around your existing workflows, from internal assistants and document tools to intelligent intake and automated processes.

Not another generic chatbot. AI built to do useful work.

What is a custom AI solution?

A custom AI solution combines modern AI models with your business's information, processes, and systems.

Instead of asking your team to adapt to a generic AI tool, we design the experience around the work you already do.

That might mean an assistant that can answer questions from your internal documentation, a tool that helps prepare a response, or an AI system that handles the first step of a workflow before handing it to a person.

The technology is flexible. The goal is practical: make useful work easier.

What can AI do for your business?

AI can be useful anywhere your team spends time reading, writing, searching, organizing, or working with information. Common applications include:

  • Internal knowledge assistants
  • Intelligent intake and request routing
  • Document and email drafting
  • Call, meeting, and ticket summarization
  • Information extraction and classification
  • AI-powered search across internal knowledge
  • Customer and employee support tools
  • AI assistants integrated into existing workflows

Not every problem needs AI. When it does make sense, we focus on using it where it can provide a meaningful improvement.

AI that knows your business

A general-purpose AI model doesn't know how your business operates.

Your internal documentation, processes, terminology, and systems are what make an AI solution useful to your team.

Praxon can connect AI to the information and tools your business already uses, giving it the context it needs to be useful while keeping access appropriately controlled.

A real-world example

IT teams spend a surprising amount of time doing work around the work, searching documentation, writing ticket notes, figuring out procedures, and repeating answers.

Praxon has built AI assistants designed to help technicians find information, work through common issues, and document their work more efficiently.

The point isn't to replace the technician. It's to give them a useful assistant while they work.

AI with guardrails

Putting AI into a business requires more than connecting an API and hoping for the best.

We consider what information an AI system can access, who can use it, what actions it can take, and where human review belongs. Depending on the project, that can include:

  • Access controls and permissions
  • Private or controlled data sources
  • Human approval steps
  • Logging and monitoring
  • Clear boundaries around what the system can do
  • Testing against real-world scenarios

AI should be useful without becoming a black box your business has to blindly trust.

AI doesn't have to be complicated.

You don't need to know which model to use, how retrieval works, or how to build an AI agent.

You just need to know where your team is spending time.

We'll figure out where AI fits, and just as importantly, where it doesn't.

Frequently asked questions

Praxon can work with leading AI platforms and models, including OpenAI and Anthropic, as well as tools within the Microsoft ecosystem. We choose based on capability, cost, privacy requirements, integrations, and the needs of the project.

It can. No AI system is perfect, which is why we design solutions with appropriate context, constraints, validation, and human oversight. For important workflows, the goal isn't to pretend AI is infallible. It's to build a system where its limitations are understood and managed.

AI costs depend on the model, how frequently it's used, how much information it processes, and the systems it connects to. Some solutions can operate at very low ongoing costs. Others may have usage-based AI or platform fees. We'll account for those costs when designing the solution.

It depends on what you're building. A focused AI assistant may be relatively quick to implement. More involved solutions that connect multiple systems, handle sensitive information, or take actions on behalf of users require more planning and testing.

Want AI that actually fits your work?

Let's figure out what makes sense.