AI Solutions for Small Businesses: How to Find The Right Fit?

Artificial Intelligence (AI), coupled with cloud technologies, shows a tremendous democratizing power when it comes to enterprise applications. It is no longer just for tech giants and large corporations. New AI solutions for small businesses are breaking the barriers of accessibility and affordability.

Even individual entrepreneurs, small startups, and micro businesses can leverage AI for automating tedious tasks, personalizing customer experience, and making data-driven decisions. However, downsizing AI solutions made for large companies may not serve the purpose of smaller organizations. It requires fresh ideation and focused development.

Why is "downsizing" not an option in AI solutions for small businesses?

Often, AI solutions providers downsize their existing AI solutions made for large companies and package them as SMB solutions. This simply does not work.

Unlike B2C AI applications, enterprise-grade solutions are built on a different set of assumptions and requirements. It reflects unique operational realities and resource constraints. Downsizing an application does not serve any of those assumptions and constraints.

Another reason that makes downsizing ineffective is the mismatch in costs of ownership. Solutions developed for large enterprises are customized for heavy computational resources, strong scalability, and cloud-based storage plans. For small businesses, these are not realistic. SMB solutions require a bottom-up strategy for business feasibility.

Unlike large companies, small businesses lack a dedicated in-house team of technical experts. They mainly depend on vendors for deployment, maintenance, and troubleshooting. Downsized solutions may not come with such services.

Finally, integration of AI tools with existing enterprise solutions is crucial for large companies. On the contrary, small businesses adopting digital technologies and AI solutions may not experience such legacy issues. So, developing AI solutions for small businesses offers a cleaner slate to work on.

What to look for in AI solutions for small businesses?

While searching for SMB specific AI solutions, it is critical to keep the following factors in mind.

• Ease of deployment
• User experience
• Total cost of ownership
• Data security and privacy concerns
• Scalability and flexibility to migrate

Conclusion

Investment in AI solutions helps small businesses save costs, increase productivity, and enhance customer experiences. It does not require strong technical knowledge or coding expertise to adopt AI in an SMB environment. Check Baideac to learn about user-friendly, no-code AI solutions for small businesses.

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