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The best AI assistants for startups (2024)

2024 Ranking 

updated on 05/2024

The best AI assistants for startups

Learn about the best AI assistants of 2024, that make sense for startups or smaller companies. Implement AI within your business and support your processes and employees.

What are AI assistants?

AI assistants use latest AI models such as Large Language Models (LLMs) to simplify daily business tasks. Users then interact with AI assistant through chats by entering simple, conversational prompts, enabling the AI to help with writing content, pulling key details from market research documents, organizing customer data, and crafting various types of content tailored to emerging business needs.

These assistants transform old manual processes into smooth, automated tasks, allowing startups to handle repetitive jobs with greater speed and less overhead. By integrating AI into their workflows, startups can not only enhance efficiency but also accelerate their growth trajectory. AI assistants are more than just tools; they act as dynamic partners that help streamline decision-making and optimize the bustling daily activities of a growing business.

Criteria for startups, when selecting AI assistants

1. Affordable pricing

For startups the price component plays one of the most central aspects, when selecting an AI assistant for their company. Compared to the expected productivity gain through AI supported processes, the return on investment is typically high, but there are still noteworthy differences in the providers functionality and prices. Note that AI assistants are typically prices per seat. 

2. Speed of implementation

For startups the speed of decision-making and daily business operations is a key factor of their success compared to much slower large enterprises, with which they might compete. Therefore startups should focus on AI solutions that are quick to implement, don’t need extensive setup efforts, don’t involve complex acquisition processes with the AI tool’s sales department and provide ready-made solutions.

3. Out-of-the-box solution

There are AI assistants that are meant to work out-of-the-box and users can directly start chatting with their assistants, and then there are custom AI assistants. Completely custom solutions are more likely to be relevant to large enterprises. Custom developments allow large enterprises to be tailored to a specific use case that they might have, or to ensure that the assistant sticks to corporate communication guidelines. Startups should not spend the money and time that is needed for a custom development, as their use cases are often simpler and the consequences of small errors are much less dangerous.

4. No AI model lock-in

Startups should also pay attention that they are not locked-in by an AI model-provider. Current releases of AI models are fast – as fast as no technological developments ever before. With the quickly changing requirements and plans of startups, they should pay attention to staying flexible with respect to the possibilities of using different models, if needed.

 

5. AI-first possibilities

Startups have another long-term advantage over their enterprise competition: By definition they are much younger and are likely still defining and building new processes. Thinking “AI-first” with every process that needs to be defined can be a real game-changer. Startups should therefore not only think about AI chats, but also about AI workflows, when selecting an AI assistence tool.

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    The best AI workflow tools (2024)

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