NewOaks AI

NewOaks AI positions itself at the intersection of two high-demand automation categories: custom-trained website chatbots and AI-powered voice calling. The core proposition is straightforward—train ChatGPT on your own business data, embed a chat widget on your site, and optionally deploy Sarah, a human-like AI voice assistant, to handle phone conversations. This dual-channel approach sets NewOaks apart from chatbot-only builders or voice-only platforms, offering a unified solution for businesses that want to engage leads and customers through both text and voice without juggling multiple tools. The platform is designed for practical, non-technical users: upload a PDF, DOCX, or TXT file, or simply provide a URL to scrape, and the chatbot begins answering questions based on that content. The base prompt can be edited to define personality, language, and response guidelines, giving businesses control over tone and behavior. Where NewOaks truly stands out is in its voice capabilities. Sarah, the AI calling assistant, is marketed as a 24/7 lead qualification and appointment booking agent. The voice quality is notably natural, with realistic intonation and pacing, though the extent to which it can handle complex interruptions or accents may vary depending on the script design. The conversational workflow builder allows for branching logic, making it possible to design structured call flows for sales or support scenarios. However, the voice credits are a significant constraint: even the $99 Professional plan includes only 20 minutes of voice time per month, and the $19 Essential plan offers just 10 minutes. For any business expecting moderate call volume, this cap will quickly become a bottleneck, and the $299 Enterprise plan does not explicitly increase voice minutes, which is a notable omission. The chatbot side offers more generous allowances: the free tier provides 100 message credits per month, which is sufficient for low-traffic sites or testing, but active websites will likely need at least the Essential plan (2,000 credits/month) to avoid frequent interruptions. The multi-model support is a strength—users can choose from GPT-4o, GPT-4.1, Claude 3.5/3.7, DeepSeek, and Mistral variants depending on the plan, allowing trade-offs between cost, speed, and accuracy. The Professional plan unlocks higher-end models like Claude 3.7 Sonnet and GPT-4 Turbo, which are better suited for nuanced conversations. NewOaks is particularly well-suited for marketing agencies that need to deploy branded chatbots for multiple clients, thanks to custom domains, a workspace manager, and white-label options on higher tiers. Real estate agents and e-commerce stores can leverage pre-built templates and appointment scheduling to automate property inquiries or product questions. Customer support teams can offload repetitive FAQs, but should test the AI's ability to handle ambiguous or multi-part queries, as accuracy depends heavily on the quality and coverage of the uploaded data. One notable limitation is the lack of deep integrations with major CRM or email marketing platforms beyond Pabbly and GoHighLevel. Businesses relying on Salesforce, HubSpot, or Mailchimp will need to use webhooks or API integrations, which may require developer assistance. Data storage is fixed to Microsoft Azure servers in US East, which could raise privacy or latency concerns for businesses operating outside North America. The missed call text back feature is a practical addition for capturing leads who hang up, but its customization options are basic. Overall, NewOaks AI is a capable entry point for businesses wanting to experiment with both AI chatbot and voice automation without heavy upfront investment. The free tier allows thorough testing, and the paid plans are reasonably priced for the feature set—provided the voice minute caps are not a dealbreaker. For high-volume voice campaigns, a dedicated telephony solution may be necessary. The platform's real value lies in its simplicity: a single dashboard to manage text and voice interactions, with enough flexibility in model selection and workflow design to suit a range of use cases. Buyers should evaluate their expected message and voice volumes carefully, and consider whether the integration depth meets their existing tech stack before committing to a paid plan.