Artificial Intelligence has become the dominant topic in technology circles and the business world has fully embraced AI in a constant search to improve performance, efficiency and ultimately, profitability. AI technology has seen widespread adoption in the small business category as sole owners and smaller teams look for ways to offload work and automate tasks that can save time and money, precious resources for any small business. AI technology has been applied to different facets of small business including day to day operations and marketing tasks but the high level of engagement and plain language comprehension of AI technology positions it as the perfect, always on call, customer service portal for small business. Businesses operate in highly competitive marketplaces and every customer interaction or engagement is hyper valuable in today’s economic landscape. AI powered customer service portals can capture and maximize initial customer interactions 24 hours a day, 7 days a week, meaning customers will always be able to interact with the brand, a significant and valuable benefit for small businesses.

Not All Models are Created Equal

The discipline of Artificial Intelligence has evolved in leaps over the last decade spawning several different variations on how the technology works. Called models, these differing technologies achieve results and output through different methods and processes and have their own strengths and advantages. A common model is Machine Learning which uses statistical and historical data to make ‘educated guesses’ autonomously. Generative AI, another common term, generates new data based on user inputs and training data sets. Newer models, such as Agentic AI take autonomous performance to the next level with contextual based analysis and cross system communication that allow for more complex and robust workflows. For purpose-built systems that have a more narrow focus, Retrieval Augmented Generation, or RAG, can deliver automation and outputs based on user created knowledge bases. RAG models are a practical and efficient solution in small business applications.

The Ins and Outs of RAG Pipelines

Purpose-built AI solutions with narrower scopes need specific data to generate outputs and workflows. The case for RAG technology in purpose-built solutions stems from its data loading and processing characteristics. Common elements among RAG setups are:

The knowledge base or data sources, generally populated with documents in PDF, markdown or other readable formats. In some instances, images can also be used in the knowledge base.

A Large Language Model (LLM), the backbone of user facing input and output functions. The technology processes content and generates responses through the LLM.

The data loading process, the function that captures and tokenizes characters within the knowledge base.

The data analytics process, generated by embedding and vectoring results against user inquires and requests

This summary provides a quick rundown of how RAG works and some of the structures needed to acquire and process data. Executable code will also need model and prompt instructions, API calls, user facing interfaces, error coding and more to run successfully. The key to effective and accurate RAG interactions and output lies in the knowledge base and resources available to the technology.

Small Business Benefits from AI

Business adoption of AI technology is at full steam as operational efficiency and streamlining become top priorities. For small businesses, AI can bring significant benefits that can ease some of the workload on owners and managers. Purpose-built AI solutions can provide anytime and on demand customer service, ensuring all potential contacts and opportunities are addressed and managed. RAG pipelines can use constructed data to provide product, service and pricing details. RAG methods allow for scalability and adding inventory information, product details and upselling methodology can be enabled by upgrading the system’s knowledge base. AI powered customer service solutions can collect relevant lead information from the user, organize data and send qualified lead data back to the owner or representative for follow up. Always on customer service through AI based technology will manage and maximize customer interactions and engagements, ensuring no opportunities are missed.

The Bottom Line

Widespread adoption of AI technology continues at a frenetic pace all types of business and ongoing evolution and innovation have created relevant and significant technologies for small businesses. The natural interaction abilities of AI ‘chatbots’ can provide crucial, first contact customer interactions anytime a potential customer reaches out to the brand. Portals can provide a wide range of level 1 type services, including data capturing for future contact, price or product information requests, contact and other business information requests. Having an ‘always on’ customer service avenue will ensure every customer interaction is addressed and no potential opportunities are lost. Small business owners wear many hats and offloading initial contact and after hours contact requests can refocus energies and efforts to initiatives that require human participation and input.