Question: Can you recommend a service that offers actionable AI insights to improve my business operations, such as data entry, communication, and customer service automation?

If you're looking for a more general-purpose AI foundation to accelerate your business, Ever Efficient AI is a good option. It's a custom AI development foundation that uses historical data to help you optimize and expand your business. It includes tools for chatbots, AI pipelines, data integration and other features to help you get insights from data entry, communication, marketing, customer service, operations and finance. It's built on JavaScript and Python, and pricing ranges from a monthly subscription to a one-time fee for custom projects.

Another powerful option is Abacus.AI, which lets developers build and run applied AI agents and systems at large scale. It includes generative AI and newer neural network methods to build large language model apps, AI agents and predictive systems. The platform can be used to automate complex workflows, forecast in real time and spot anomalies, so it's good for optimizing business operations and customer service.

If you're looking for a more general-purpose AI foundation, Aisera is another option. Aisera automates work in multiple domains, including IT, HR, customer support, sales and operations. It uses domain-specific Large Language Models (LLMs) to give you fast access to information and automate routine tasks. The foundation is built with a responsible AI approach to ensure security and privacy, so it's a good option for boosting productivity and lowering costs.

Last, Parallel AI is a modern foundation to automate business operations and boost productivity. You can use AI models like GPT4 and Gemini, but the foundation also includes features like Long-Term Memory to remember previous conversations and an AI Knowledge Base to train AI employees with business documents. It integrates with tools like Slack, Confluence and Google Docs, and pricing is flexible, so it's good for businesses large and small.