AI chatbots have become a standard part of how businesses capture leads, support customers, and guide users across websites. Platforms like Tars made this easier by replacing static forms with conversational flows that feel more human.
But expectations around chatbots have changed. In 2026, teams want more than scripted conversations. They expect chatbots to understand context, work with internal data, and support real business workflows across sales, support, and operations.
This is where many companies begin seeking a stronger alternative. Knolli positions itself as a modern AI chatbot platform that goes beyond form-based conversations. Instead of rigid flows, it enables AI-driven copilots that can answer questions, summarize information, and assist teams using real knowledge sources.
This article breaks down what Tars offers, why businesses look for alternatives, and how Knolli compares as a more flexible and intelligent option for building AI-powered chat experiences.
Tars is a conversational AI chatbot platform that helps businesses automate customer conversations for lead generation and customer support. It focuses on building AI Agents that can chat with visitors, answer common questions, qualify intent, and capture details, without needing coding skills.
On the Tars site, the product is positioned around “AI Agents for every customer conversation,” with an emphasis on handling high message volume while keeping the experience natural and human-like. It also highlights agents trained on your data, ensuring replies are accurate and tailored.
Key Tars features
Tars is a strong fit for teams looking to launch a customer-facing chatbot quickly, leveraging templates, a no-code builder, and channels such as website chat and WhatsApp.
Tars works well for teams that need to deploy a chatbot quickly for customer conversations. But as AI expectations evolve, many businesses are beginning to feel the limits of form-driven, template-based chat experiences.
One common reason teams seek alternatives is the depth of conversation. Tars chatbots follow predefined flows, even when powered by AI Agents. This works for lead capture and FAQs, but it becomes restrictive when users ask open-ended questions or need answers based on internal documents, policies, or product knowledge.
Another factor is workflow flexibility. Modern teams want chatbots that assist beyond marketing pages, supporting sales research, onboarding, internal help desks, and knowledge retrieval. Tars is mainly optimized for customer-facing conversations, not broader business use across departments.
Customization and ownership also play a role. Many teams want tighter control over how AI behaves, what data it references, and how responses are structured. Template-heavy systems can make conversations feel repetitive over time, especially for brands focused on tone and differentiation.
Finally, companies scaling their AI use often seek platforms that enable them to build AI copilots, not just chat widgets. This shift pushes teams toward tools that support deeper AI reasoning, secure access to private data, and reusable conversational logic—areas where alternatives like Knolli begin to stand out.
Knolli is a no-code AI copilot and agent platform built for teams that want more than scripted chatbots. Instead of designing rigid conversational flows, Knolli enables businesses to build intelligent AI copilots that work with real data, automate workflows, and scale across teams and customers.
Unlike Tars, which focuses mainly on customer-facing chat experiences, Knolli is designed as a full lifecycle platform, from building and deploying AI copilots to monetizing and securing them in production.
What Knolli Offers
Where Tars focuses on guided conversations and lead flows, Knolli enables true AI copilots that reason, retrieve knowledge, automate workflows, and scale across teams. This makes Knolli better suited for sales enablement, internal support, productized AI tools, and knowledge-driven customer experiences—not just website chat.
Both Knolli and Tars help businesses automate conversations, but they are built for very different outcomes. Tars is optimized for structured customer-facing chat flows, while Knolli is designed to power AI copilots that think, retrieve knowledge, and automate work across teams.
Here’s how they compare side by side.
Tars is a solid choice for teams looking to improve lead capture or handle basic customer conversations without building complex AI systems. It works best when interactions are predictable and follow a clear conversational path.
Use Tars if:
Tars is effective when the chatbot’s role is to guide users, ask qualifying questions, and hand off conversations to sales or support teams.
Knolli is designed for teams that want AI to do more than chat. It fits organizations building intelligent systems that work with real knowledge, automate processes, and scale across departments or customers.
Use Knolli if:
Knolli adapts to your business's workflows, making it a better fit for teams planning long-term AI adoption.
Tars remains a strong option for teams focused on conversational forms, lead capture, and structured customer interactions. It’s easy to launch, simple to manage, and well-suited for predictable marketing and support workflows.
However, as expectations for AI rise, many businesses are seeking more than guided conversations. They want AI systems that understand context, work with real data, automate tasks, and scale across teams or customers.
That’s where Knolli stands out.
Knolli is not just a chatbot builder. It’s a platform for creating AI copilots and agents that support real business operations—from sales enablement and internal knowledge assistants to monetized AI products. With no-code creation, deep data integration, workflow automation, and enterprise-grade security, Knolli offers a future-proof alternative for companies planning to invest seriously in AI.
If your goal in 2026 is to move beyond scripted chat and build intelligent, scalable AI systems, Knolli is the stronger long-term choice over Tars.
The best Tars alternative in 2026 is Knolli. It allows businesses to build AI copilots and agents that work with real data, automate workflows, and scale across teams—going beyond scripted chatbot conversations.
Knolli is better suited for scaling AI across teams. It offers a multi-agent architecture, role-based access control, private knowledge bases, and enterprise-ready security—making it ideal for long-term AI adoption.
The best AI agents for business are those that can work with internal data, automate workflows, and support teams across sales, support, and operations. Platforms like Knolli stand out because they let businesses build AI copilots that retrieve knowledge from documents, integrate with existing tools, and deliver consistent, context-aware responses without relying on scripted flows.
To choose the right customer support automation tool, look beyond chat volume handling. The platform should understand context, access your knowledge base, integrate with support systems, and adapt as customer questions evolve. Tools built around AI copilots offer more long-term value than rule-based chatbots because they reduce repetitive work and improve response quality over time.
