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ToggleFor years, the IT world has relied on a straightforward billing model: seat-based pricing. Companies pay for each employee using a particular software or service. It’s simple, predictable, and has been the industry standard. But now, a new force is emerging that could upend this established system: agentic AI.
Agentic AI refers to artificial intelligence systems capable of performing tasks autonomously. Think of AI not just as a tool that needs constant human direction, but as a digital worker that can understand goals, plan actions, and execute them independently. Products like Claude Cowork and OpenAI’s Agent platform are leading the charge, offering a glimpse into a future where AI handles many tasks previously done by humans.
So, how does this impact the billing model? If a single AI agent can perform the work of multiple employees, the need for numerous software licenses diminishes. Companies might find they can achieve the same output with fewer “seats,” leading to a potential decrease in revenue for software service firms. The Economic Times recently highlighted this shift, noting the growing concern among these firms as agentic AI becomes more sophisticated and widely adopted.
However, the story isn’t just about cost savings. Agentic AI promises a significant boost in productivity. These AI agents can work around the clock, handle repetitive tasks with ease, and free up human employees to focus on more strategic and creative work. Imagine a scenario where AI handles data entry, customer support inquiries, and report generation, allowing your team to concentrate on innovation and problem-solving.
As agentic AI takes hold, we might see a shift towards outcome-based pricing models. Instead of paying per seat, companies could pay based on the results achieved by the AI. For example, a business might pay for each successful customer interaction or for the number of leads generated by an AI-powered marketing campaign. This would align the interests of software service providers and their clients, incentivizing them to develop AI solutions that deliver tangible business value.
This transition presents both challenges and opportunities for software service firms. They need to adapt their business models to accommodate the rise of agentic AI. This could involve developing new pricing strategies, focusing on AI training and customization services, or creating their own AI agent platforms. Those who embrace this change and find innovative ways to integrate AI into their offerings will be well-positioned to thrive in the new landscape. Firms that are slow to respond risk becoming obsolete.
It’s important to remember that AI is not a replacement for human intelligence. While AI agents can automate many tasks, they lack the creativity, critical thinking, and emotional intelligence that humans bring to the table. The most successful companies will be those that find the right balance between AI and human workers, leveraging the strengths of each to achieve optimal results. The future of work is likely to be a collaborative one, where humans and AI work together seamlessly.
As AI agents become more autonomous, ethical considerations become paramount. We need to ensure that these systems are used responsibly and that their actions align with human values. Issues such as bias in AI algorithms, data privacy, and job displacement need to be addressed proactively. Open dialogue and collaboration between researchers, policymakers, and the public are essential to navigating these challenges.
The rise of agentic AI is not a distant threat; it’s happening now. Businesses need to start exploring how these technologies can improve their operations and prepare for the changes ahead. This involves investing in AI training, experimenting with different AI solutions, and developing a clear strategy for integrating AI into their workforce. Those who take a proactive approach will be best positioned to reap the benefits of this transformative technology.
The shift towards agentic AI is poised to reshape the software services industry and the broader business world. While challenges and uncertainties remain, the potential benefits are immense. By embracing this technology and adapting to the new landscape, businesses can unlock new levels of productivity, innovation, and growth. The future is intelligent, and those who embrace it will be the leaders of tomorrow.



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