Generative AI offers enormous improvements and growth to SMEs. They can use it to automate and improve processes in marketing, sales, training, research, and any other type of knowledge work. Thousands of hours can be liberated from repetitive boring tasks and focused on more creative growth tasks. This will benefit companies, customers, and employees. However, for this to happen SMEs must use customized and localized hybrid AI solutions, instead of generic off-the-shelf solutions.
For generative AI adoption to grow among SMEs it can not remain monolithic, centralized, generic one-size-fits-all solution. It must become custom, branded, and local. It must merge itself with the culture, products, knowledge of each SME. And it must never stop to adapt and connect, and to provide more value for employees, customers, partners, owners. This can only be achieved using a hybrid AI solution combining generative AI engine with a modular expert system and a human-in-the-loop interface.
Baldwin–Clark modularity framework suggests splitting a product into smaller modules allows substantially faster innovation, especially through open innovation and innovation networks. Modularity can be applied to expert system via human-in-the-loop interface. In such case each rule, dataset, and setting is a module. Breaking down expert system into modules allows different types of experts to edit different rules. For example, sales representatives in a specific territory can design sales rules specifically for that territory. The modular organization of expert system rules in combination with a human-in-the-loop interface allows rapid and low cost adaptation of generative AI to specific SME needs.
OPEN OS FOR AI interface allows such collaboration. Innovators and managers are able to edit each rule in the expert system following the open innovation guidelines: innovator suggests an innovation aka change in AI behavior and manage approves the change and rewards the innovator. This is creates a hybrid AI system powered by open innovation, which allows adaptation and localization of generative AI.
Making it easy to edit the expert system rules which localize generative AI will allow SMEs to quickly, easily, and affordably design their generative AI experiences for their customers, partners, employees. Making these processes open and collaborative will substantially accelerate adoption and growth while lowering the cost.
To use OPEN OS FOR AI to design your own generative AI service, email Andrea at andrea@openinnovation.me.
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