Rasa’s Forrester Nod Signals Enterprise AI Shift to Control and Security

SAN FRANCISCO, CA – April 21, 2026 – Conversational AI platform Rasa has been named a “Strong Performer” in the latest Forrester Wave™ evaluation, a recognition that underscores a significant pivot in how large enterprises are approaching artificial intelligence. The report, The Forrester Wave™: Conversational AI Platforms For Customer Service, Q2 2026, highlights the company's developer-centric model, which prioritizes data sovereignty and flexible deployment—attributes that are rapidly becoming non-negotiable for businesses in highly regulated industries.

While the conversational AI market is crowded with solutions promising seamless automation, Rasa's placement validates a different kind of value proposition: one built on control, security, and deep integration rather than off-the-shelf simplicity. The Forrester evaluation cited the company for its on-premises deployment capabilities and robust support for customer data protection, positioning it as an ideal choice for organizations that cannot afford to compromise on how their AI systems are governed and secured.

A Market Shift Towards Governance and Control

The recognition from Forrester arrives as enterprises face mounting pressure from both regulators and consumers to demonstrate responsible AI stewardship. With regulations like the EU AI Act entering new phases and a patchwork of state-level laws emerging in the U.S., the era of treating data governance as an afterthought is over. For sectors like banking, healthcare, and telecommunications, the ability to control where data resides and how it is processed is a foundational requirement.

This is the environment where Rasa’s model finds its footing. By enabling on-premises or private cloud deployment, the platform allows organizations to keep sensitive customer data within their own secure infrastructure, effectively addressing data sovereignty concerns. This stands in contrast to many cloud-native platforms that may require data to be processed on third-party servers, potentially across national borders.

"The companies we work with are not looking for AI that operates on the surface of their business," said Melissa Gordon, CEO of Rasa, in a statement. "They need systems that are embedded in their customer experience, aligned with how they operate, and built to meet their standards for control, security, and reliability." Gordon's comments reflect a broader market sentiment captured in the report, where customers praised Rasa for its ability to protect consumer data while maintaining ownership of the customer experience.

The Forrester report awarded Rasa the highest possible scores in criteria such as resource orchestration, application execution, and pricing flexibility. This indicates a platform engineered not just for performance, but for disciplined management—a critical factor for enterprises looking to scale AI responsibly.

The 'Developer-First' Advantage in an AI-Powered World

Central to Rasa's strategy is its “developer-first” philosophy. This approach empowers an enterprise's own engineering teams to build, customize, and manage AI agents with a high degree of precision. Instead of being confined to a graphical user interface with limited options, developers can use Rasa's open-source framework to craft complex conversational logic, integrate with proprietary backend systems, and maintain full control over the application's lifecycle.

This level of control is a key differentiator. While low-code and no-code platforms have democratized access to AI for some use cases, large enterprises often find their rigid structures and “black box” nature limiting. When an AI agent needs to perform complex, multi-step actions or access sensitive data from multiple internal systems, a customizable framework becomes essential. The Forrester evaluation acknowledged this by giving Rasa top marks in application lifecycle management, recognizing its strength in helping enterprises build and run customer service AI with greater discipline.

This developer-centric model also fosters a more transparent and predictable path for evolution. Enterprises are not locked into a single vendor's roadmap or pricing model. They can adapt their AI agents as business needs change, integrate new technologies, and manage costs with the clarity that comes from transparent pricing—another area where Rasa scored highly.

Navigating a Competitive Conversational AI Landscape

Rasa’s performance in the Forrester Wave is particularly notable given the competitive intensity of the conversational AI market. The space includes technology giants like Google and Microsoft, which leverage the scale of their vast cloud ecosystems, as well as a host of specialized enterprise platforms and nimble low-code startups. By successfully carving out and defending its niche, Rasa has proven the viability of its specialized approach.

Investor confidence further solidifies the company’s position. Backed by prominent venture capital firms including Accel, Andreessen Horowitz, and PayPal Ventures, Rasa has secured significant funding to fuel its growth. Its most recent $30 million Series C round in 2024 was co-led by StepStone Group and PayPal Ventures, signaling strong market belief in its mission to provide generative AI-powered platforms that scale with enterprise-grade security and control.

This financial backing enables Rasa to continue investing in its platform and expand its reach in North America and Europe, competing effectively for large enterprise contracts where its unique strengths in data privacy and customization are paramount. The company's success suggests that for a significant segment of the market, the ability to own and shape an AI solution is more valuable than the plug-and-play convenience offered by some competitors.

The Future of Embedded and Accountable AI

Looking ahead, the trends toward more autonomous, or “agentic,” AI and the deeper embedding of AI into core business applications will only heighten the need for the principles Rasa champions. As AI agents are trusted with more complex tasks and greater decision-making authority, the need for robust governance, transparency, and accountability will become even more critical.

Rasa’s vision, as stated by the company, is to help organizations deliver more connected and intelligent customer interactions without sacrificing the structure and trust that enterprise environments demand. This philosophy positions the platform not just as a tool for today's customer service challenges, but as a foundational element for a future where AI is woven into the very fabric of the enterprise. For companies building their long-term AI strategy, the ability to maintain control over their technology stack, data, and customer experience will be a decisive factor in their ultimate success.