When we think about deploying artificial intelligence in an organization, we often assume an “either-or” scenario: either Microsoft Copilot or an alternative solution. In practice, however, reality is far more nuanced. Every company has departments and individuals who need more than a single language model, and the organization needs control over how AI is being used. This is precisely where solutions like Cortex360 come in.
A Problem We Discovered by Accident
When we started developing Cortex360, we were convinced that our natural customer was a company without Microsoft Copilot licenses. The logic was straightforward: organizations already invested in the Microsoft ecosystem would not be looking for a Copilot alternative. Reality challenged those assumptions faster than we expected.
It turned out that even in companies with full Copilot licenses, there is a significant group of users who need something more. These are people who experiment with Claude, test various open-source models, and compare outputs across different LLMs. They are innovative, independently building their AI competencies, and genuinely increasing work efficiency.
The problem is that the organization has zero control over what they do, what data they use, and where that data ends up.
First Internal Case: Reducing License Costs
Before we started talking to clients about Cortex360 as a complement to their AI infrastructure, we had to solve a concrete problem ourselves. Initially, we purchased ChatGPT Pro for all employees. It quickly became apparent that we were generating enormous costs, while not everyone was using advanced features intensively enough to justify the license.
We needed a billing model that would be more flexible. Instead of paying per user, we started paying per token - per actual usage. Cortex360 allowed us to connect people to different language models and bill only for what they actually used. It was an alternative to Copilot and other licensed solutions that gave us control over the budget.
As a result, we not only have lower costs but also better alignment of tools to needs. Advanced users got access to more powerful models, while less advanced users worked with simpler versions sufficient for improving email style or summarizing a document. Everyone was using AI, but each in a cost-optimal way.
Control Does Not Mean Just Monitoring
When we talk to clients about deploying Cortex360 as an alternative to Copilot or a complement to existing tools, the word “control” often comes up first. But what does control actually mean in the context of AI in an organization?
First: Awareness
If employees are using personal ChatGPT, Claude, or other tool accounts, the organization has no idea what AI is being used for. This is not just about “policing” people - it is about learning as a company. Which prompts work best? Which tasks can be automated? Which processes can be improved with AI?
Without centralizing access through a solution like Cortex360, the company loses the ability to capture this knowledge. Each employee learns individually, but the organization as a whole does not benefit from that experience.
Second: Security
If a company has signed non-disclosure agreements with clients and an employee feeds sensitive data into a personal AI tool, the risk of a data leak is real. Even if the intentions are good and the employee simply wants to complete a task faster, the consequences for the company can be severe.
Cortex360 as an alternative to Copilot provides full usage reports, delivers enterprise-grade security, and enables analysis of what AI is being used for. This is not a policing approach - it is strategic management of resources and knowledge.
The Difference Between “Secure” and “Controlled”
Microsoft Copilot is a secure tool. This is an important caveat, because the point is not that Copilot is inferior in terms of data protection. The point is something different: having an official channel for AI communication within the company.
Think of it as the difference between a corporate and a personal email account. You have the right to use your personal inbox, but you send business documents through your corporate address. Why? Because the organization needs access to that information, needs to archive it, and needs to control data flow.
The same applies to AI. Copilot is the “corporate” access to artificial intelligence. But what if Copilot is built on one model, and an employee needs a different one? What if Claude, an open-source model, or a specialized LLM performs better for a specific task?
Cortex360 serves as an alternative to Copilot in the sense that it also provides secure, corporate access to AI, while simultaneously enabling the use of multiple different language models. It is like extending the official channel with additional capabilities that advanced users need.
Costs: Not Everyone Needs the Most Expensive Model
One of the key discoveries during our internal use of Cortex360 was understanding how dramatically user needs differ. Advanced specialists know which model they want to use and understand the differences between GPT-5, Claude Sonnet, Llama, and other LLMs. They can match the tool to the task.
But most employees use AI for simple things:
- improving the style of an email in English,
- summarizing a document,
- generating a bullet-point list from meeting notes.
For tasks like these, you do not need the most expensive, most advanced model on the market. A simpler, cheaper version is more than sufficient.
When everyone has a Pro license at 1,000 PLN per month, the organization is overpaying for capabilities that most people will never use. Cortex360 as an alternative to Copilot allows you to flexibly match the model to the task and the user’s level of expertise. This not only reduces costs but also optimizes resource utilization.
In practice, this means:
- the legal department can use advanced models for contract analysis,
- marketing can use models that excel at content creation,
- and administration can use simpler versions sufficient for everyday tasks.
Everyone has access to AI, but each pays only for what they actually need.
Case Study: A Company with Copilot That Deployed Cortex360
We are currently deploying Cortex360 for a client that already holds Microsoft Copilot licenses. At first glance, it looks like a paradox. Why buy an alternative to Copilot when you already have Copilot?
The answer is simple: this organization has departments that are significantly more advanced in their use of AI than the rest of the company. These people need access to different models - they experiment, test, and optimize their processes. They were previously doing this outside official channels because Copilot did not meet their needs.
Cortex360 allowed them to connect different models, give people the freedom to experiment, while simultaneously providing the organization with full control over what data goes in and comes out. Thanks to usage reports, the company knows what AI is being used for, can analyze patterns, and learn as an organization.
This is not competition with Copilot. It is a complementary solution that extends capabilities where a single language model falls short. Microsoft tends to monopolize areas, but the reality of AI is multi-model. Cortex360 helps organizations maintain control within that plurality without sacrificing innovation and flexibility.
Who Is Cortex360 as a Copilot Alternative For?
When discussing the ideal client for Cortex360, professional services always come up. This is an industry where knowledge and the efficiency of intellectual work directly translate into profitability. Tax advisory firms, audit practices, consulting firms - anywhere people work with documents, analyze data, create reports and recommendations.
We exclude law firms in the strict sense, because that market is already well served by specialized AI tools, both global and local. But beyond that, the professional services segment is a natural fit for a solution like Cortex360.
Organization size also matters. We are talking about firms with 20 to 50 people. This is the sweet spot where the organization is large enough to need control and cost optimization, but agile enough that deploying a new tool does not require months-long processes.
In these firms, there are typically already people using AI - maybe not everyone, but enough that license costs are starting to add up. At the same time, there are departments at varying levels of sophistication, which means Cortex360’s flexible billing model delivers real savings.
Security Is Not Just Technology
Clients often ask us whether there is a risk that employees will continue using personal AI tools despite having access to Cortex360. The answer is: yes, that risk always exists. Someone can always open ChatGPT on their phone at home and paste in corporate data.
But the goal is not to completely eliminate such behavior. The goal is to minimize risk as much as possible by providing a convenient, accessible, official alternative to Copilot and other tools. If an employee has legitimate access to AI that meets their needs, there is no reason to use something on the side.
Security in AI is not just about encryption and contracts. It is also about organizational culture, threat awareness, and access to the right tools. Cortex360 as an alternative to Copilot helps build that culture by giving people what they need in a secure form.
Remember: if a company has signed non-disclosure agreements with clients and an employee unknowingly feeds protected data into a public AI tool, the consequences can be severe. Not only legal but also reputational. That is why it is worth investing in solutions that minimize this risk.
FAQ: Most Common Questions About Cortex360
Is Cortex360 a competitor to Microsoft Copilot? No, it is more of a complement. Copilot is an excellent tool, but it is built on a single language model. Cortex360 as an alternative to Copilot provides access to many different LLMs, enabling better alignment of the tool to the task and the user’s level of expertise.
What language models are available in Cortex360? Claude, GPT, and a wide range of open-source models dedicated to specific use cases. The exact list is determined with the client during deployment, depending on needs and budget.
Can small companies afford Cortex360? Yes, because the per-token billing model means you only pay for actual usage. This is often cheaper than purchasing Pro licenses for every employee, especially when not everyone is an intensive AI user.
How does Cortex360 ensure data security? By centralizing AI access within the company. Instead of using personal accounts, employees log in through a corporate tool that meets enterprise standards. The organization has full reporting and control over data flow.
Does deploying Cortex360 require changing company processes? It depends on the scale. A basic deployment can be fast, but fully leveraging the potential - especially analyzing reports and optimizing costs - requires engagement and learning as an organization.
Summary: The Multi-Model Reality of AI
For a long time, we thought about the AI market in “either-or” terms. Either Microsoft, or Google, or some other solution. Practice has shown that the world is more complex. Every organization has people at different levels of expertise, with different needs and different tasks to accomplish.
Cortex360 as an alternative to Copilot does not mean competitive warfare. It means complementing the company’s AI ecosystem with flexibility, control, and cost optimization. It is a solution for firms that want to give their people the freedom to experiment with different models while maintaining awareness of what is happening and data security.
For professional services - tax advisory, accounting firms, consulting, financial audit - this is particularly important. Knowledge and efficiency are the foundation of the business. AI can radically improve these areas, but only when it is used consciously, securely, and in a way that matches real needs.
If you are wondering whether your company needs something more than standard AI licenses, ask yourself this question: do you know how your people are actually using artificial intelligence? If the answer is “not entirely,” that is a sign it is worth looking into a solution like Cortex360.