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Every company wants its workflows to be smarter and more efficient, and AI agents are the ideal solution. These intelligent systems act like loyal employees that operate around the clock, orchestrate a myriad of unrelated workflows simultaneously, and solve big-picture problems independently. But what if building a ground-up AI agent is too costly for your business? AI agent frameworks offer more cost-efficient and time-saving options.

Modern businesses have discerned the true value of generative AI: the democratization of art, automated workflows, and substantial cost savings. While some companies rush to adopt the technology no matter the risks, others stay on the sidelines, discouraged by challenges. So, how do you integrate generative AI safely and effectively, turning it into a powerful tool rather than a risky liability for your business? Generative AI strategy consulting is the answer.

Cloud adoption does not guarantee cost-efficiency; in fact, it often results in higher expenses due to reactive decisions, lack of financial governance, and other factors. To prevent this, an accurate assessment of all factors and hidden costs is essential.

In April 2025, EffectiveSoft held its second hackathon around generative AI, where analysts, developers, designers, testers, and other professionals teamed up to turn their ideas into working prototypes within two days. For one of our software engineers, Uladzimir Poddubny, it was a first-time experience.

Major companies like Spotify, Salesforce, and Duolingo are already using large language models (LLMs) to improve podcast recommendations, facilitate financial analytics, and deliver hyper-personalized experiences to global users. Following their lead, more businesses have begun integrating LLMs into their operations. But with an impressive list of large language models, choosing the right one becomes a challenge.