Rasa Named Strong Performer in Forrester's Conversational AI Platforms Report
Rasa, a developer-focused conversational AI platform, earned recognition as a Strong Performer in Forrester's Q2 2026 Wave report on conversational AI platforms for customer service. The evaluation highlighted the company's approach to data control, enterprise governance, and flexible deployment-capabilities that matter most to organizations managing sensitive customer interactions at scale.
The platform received top scores in three specific areas: resource orchestration and application execution, application lifecycle management, and pricing transparency. These strengths reflect how Rasa positions itself against vendors offering one-size-fits-all solutions.
What Sets Rasa Apart
Rasa's core differentiator is its on-premises deployment model. Organizations can run the platform on their own infrastructure, maintaining full ownership of customer data and system behavior. This matters for companies in regulated industries-banking, healthcare, telecom, retail-where data residency and security requirements are non-negotiable.
Forrester's evaluation noted that customers specifically praised Rasa for enabling data protection while maintaining control over customer experiences. Rather than adopting a vendor's pre-built system, teams can shape the AI to match how their business actually operates.
Rasa CEO Melissa Gordon said the recognition validates what enterprise customers have long understood: "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."
Where This Matters for Your Team
If your organization handles customer support at scale, the distinction between managed and self-hosted AI platforms affects your operational reality. Managed platforms offer speed but impose constraints. Self-hosted platforms demand more technical investment but grant control.
Rasa's positioning suggests the market is moving toward solutions that acknowledge this trade-off explicitly rather than hiding it. The company's transparent pricing model and governance framework are designed for teams that need to account for how AI systems behave over time.
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