It’s tough running a small or medium-sized business. Small-to-Medium-Sized Businesses (SMBs) face numerous operational challenges in today's fast-paced and demanding business environment. One such challenge is providing timely and accurate information to customers, employees, or business partners at any time – even when no one is available to respond.
Traditional methods for addressing frequently asked questions (FAQs) often rely on manual and self-service processes, which can be time-consuming, prone to errors, and frustrating for users, not to mention lacking the level of personalization that modern consumers expect. Yet, nearly every SMB starts off with (or quickly acquires) at least a website and a phone number.
So, the question becomes: how can we leverage technology to help SMBs deliver accurate answers to common customer inquiries, automatically and authentically?
The always-on expectation (without always-on staff)
While FAQ pages (and AI-powered tools to help build them) exist, web-based solutions aren't always convenient. Customers don't want to hunt for information; they want to ask and get an answer.
With the rise of conversational AI, it’s now possible to move beyond static pages toward more natural, interactive experiences. Voice User Interfaces (VUIs), such as Amazon Alexa, Google Assistant, and Apple Siri, have already changed how people interact with technology, making voice a familiar and widely adopted interface for everyday tasks.
This opens the door to a different approach: building intelligent systems powered by Artificial Intelligence (AI) and Retrieval-Augmented Generation (RAG) that can respond to phone calls or texts instantly — in natural language and in a brand’s tone. Such a system could deliver accurate, spoken, or written summaries of relevant information in real time, creating a seamless experience even when no human is available to answer.
A simple interface for providing service anywhere
Despite these advancements, most SMBs still struggle to deliver this level of responsiveness. Ideally, a voice-driven system for small businesses should be simple to set up, easy to maintain, and cost-effective. This is especially relevant given that roughly 80% of SMB customer inquiries are repetitive and easily resolved1 — things like:
- Opening or operating hours
- Availability of specific products and services
- The status of an order or an appointment
- And similar routine inquiries
In practice, however, this kind of system doesn’t begin with a complex AI vision, but a more fundamental issue: missed calls and unanswered questions. That’s the gap Telekit was built to address.
Designed as an easy-to-configure phone system for small businesses, Telekit ensures every call is handled, even when no one is available to pick up. With an intuitive, form-driven setup with sensible defaults, businesses can screen, route, and transcribe calls or offer callbacks through a simple IVR, ensuring no opportunity slips away.
Over time, calls are captured and analyzed, a clear pattern emerges: most inquiries were simply variations of the same questions. By connecting directly to a business’s knowledge base, Telekit transforms static FAQ content into a fully functional, always-on voice assistant. Customers can call or message a business and receive instant, conversational answers — delivered in the brand’s tone.
How RAG works behind the scenes
A RAG-based system can ingest existing business information — typically PDFs or plain text files — uploaded via a simple web interface, and turn it into a live, easily accessible knowledge base. Documents can be stored in a file system or database, ready for the AI to reference as needed.
Using natural language understanding, the AI can accurately identify a caller’s intent and match questions to the most relevant answers — the core of the retrieval-augmented process. Short questions can be answered with text-to-speech (TTS), while longer responses can be summarized, with the option to send full details via SMS or email.
Questions that can't be answered can be directed to voicemail, where they're scanned for intent and prioritized for a call back or text from the business owner. Over time, if we keep track of the questions we can’t answer, the system continuously expands and refines your FAQs library. At a high level, our platform works like this:
In practice, we need a bit more sophistication, particularly because we want the system to be able to be updated when needed and expanded as we learn from experience.
More than just answers
The AI-powered component will listen to and analyze user queries, providing accurate responses drawn from the company's knowledge base while also handling exceptions – questions we can’t answer yet. Meanwhile, the RAG component automates routine tasks, including:
- Categorizing FAQs and mapping them to relevant intents
- Identifying key phrases and synonyms for improved tuning and more efficient search functionality
- Providing API-based access to SMB back-office systems for content (product catalogs, customer orders, appointment schedules)
- Integrating with a customer relationship management (CRM) system, if available, to update customer contact records. A phone-based interface offers the added advantage of using the caller’s phone number as an identifier and, with opt-in consent, potentially recognizing the caller’s spoken voice through speaker recognition
Keeping the system simple helps ensure efficient performance and keeps operational costs for AI model inference and RAG data storage manageable. By caching frequently requested responses, latency – the time to generate an answer – can typically be kept to two to three seconds, which feels natural in a conversation. For longer, dynamically generated responses, latency may increase slightly, in which case conversational prompts (e.g., “Processing, please wait”) can be used to maintain a smooth user experience.
When to automate
An AI-powered RAG conversational platform like Telekit can offload much of the routine work from a SMB’s staff while providing 24/7/365 access to FAQs. The system is easy to set up, requiring no code or additional equipment, and operates at a low cost. That said, there are a few key design considerations to keep in mind:
- Order processing is not included. While conversational ordering or appointment scheduling could be added, these features introduce significant complexity and require integration with other systems. We recommend starting with the “low-hanging fruit” of FAQs first.
- Not every customer request should be automated. The platform includes options for voicemail and callback requests. Avoiding all human contact can mean missing valuable insights into why customers call and what drives their questions, as well as opportunities to strengthen customer relationships.
Decades of behavioral research show that people interact differently with machines than with humans. While automation can be useful, relying on it too heavily can diminish the quality and value of customer interactions. Efficient self-service should be balanced with meaningful relationship building and reinforcement. Well-designed AI and RAG platforms offer significant advantages for SMBs, but they aren't a complete replacement – human connections still matter.
Curious how RAG and conversational AI can transform your business? Contact us to learn more.
1 From Intercom, Customer Service Trends Report 2024 and internal FreeClimb Research analysis.