Blogs

Anyone can build an AI app now. Fewer companies can put that AI inside a piece of physical equipment and make it actually work. That gap is where Forward Deployed Engineers live.

You approved the AI agent project. The demo looked great. Then the first invoice arrived. This is one of the most common moments in enterprise AI adoption right now. Teams build a working agent, ship it to production, and within 30 days they are looking at a cloud bill that is three to ten times higher than anyone projected. The agent is not broken. It is just expensive in ways that were never visible during testing. The problem is not the model. The problem is architecture.

As organizations explore more advanced uses of artificial intelligence, a critical distinction is becoming clear: not all AI systems function the same way. Two common categories—AI agents and agentic AI—reflect very different approaches to how machines assist with work. Understanding how they differ is necessary for developing long-term AI strategies that scale with the demands of modern enterprises. AI Agents: Capable Responders with Defined Boundaries An AI agent is an inte

As businesses race to adopt cutting-edge technologies, Generative AI is proving to be a game-changer. TriSeed helps organizations integrate GenAI in a way that not only drives innovation but also delivers measurable, sustainable growth. It's not just about adopting technology—it’s about transforming the way you work and compete. GenAI: Unlocking Innovation Across Industries Generative AI is redefining what’s possible. It’s allowing businesses to generate content, automate pro