Hostinger’s research lead explains limits and practical steps for adopting agent-like systems that can use tools, act toward goals, and reduce routine work—if companies start small and set clear goals, context, and boundaries.
Agentic capabilities make tools that can act and take decisions more than just answer generators—this enables automation of tasks across products and operations.
Adopt internally first with low-risk experiments, then bring proven agentic features to customers where they solve real work.
What "agentic" systems do differently
Why businesses should pay attention now
Common misunderstanding: agents can't do everything
Hostinger's AI research lead, Tomas Rasymas, points to a prevailing mistake: assuming agentic systems can replace broad human work immediately. They can be valuable, but only under three conditions:
Without these, outputs can be unreliable or off-target. The practical conclusion: don't try to bolt agents onto every process. Choose one concrete task and make an agent handle that well first.
How to adopt agentic capabilities in practice
Treat an agent like a new employee. Define the role, give access to the files and tools needed, and set rules for escalation and limits. Hostinger recommends starting small: pick a single problem where an agent can reduce workload or speed a process, build and test that use case, then iterate.
Hostinger has built internal assistants and runs company programs to explore agentic tools. An internal assistant called DEX is under continuous development to support operational needs. The company runs hackathons and supports cross-team experimentation, moving promising prototypes into day-to-day workflows. For more sophisticated automation, a dedicated AI and automation team helps other teams implement agentic solutions.
Bringing agentic features to customers
Hostinger's product work began with simpler integrations—assistance for website creation and VPS management—and expanded into email marketing, ecommerce, and business task management. The same adoption principle applies: only add agentic features where they genuinely save time or do a task better or faster than existing solutions. Features are rolled out incrementally, guided by what works internally and in pilot customer tests.
Practical checklist for business owners
The evolution of AI agents from chatbots to advanced systems capable of autonomously executing complex tasks is becoming increasingly evident. Here are three foundational principles to effectively integrate AI agents into businesses and entrepreneurial ventures.
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