#United States #Austin #IgniteTech #Aurora AI #Khoros

Khoros Introduces Aurora AI

Austin, Texas, April 10, 2026 — In a groundbreaking move less than a year after its acquisition by IgniteTech, Khoros has unveiled Aurora AI, a state-of-the-art, AI-native platform designed to revolutionize the way businesses engage with their customers through online communities. Unlike traditional upgrades, Aurora AI represents a complete reimagining of the Khoros Community platform, integrating artificial intelligence deeply into its architecture.

The Transformative Power of Aurora AI

The primary goal of Aurora AI is to enhance user experience by automating support, gathering product feedback, and maintaining active and vibrant customer communities—all without the need for manual intervention. With a legacy of servicing over 4,000 customer deployments since its inception in 2001, Khoros has managed to achieve a staggering 1.8 billion site visits annually while saving brands over $500 million in support costs through effective self-service functionalities. Aurora AI builds upon this rich foundation to make customer communities even more valuable business assets.

By addressing a critical issue—the 30% of questions on online forums that go unanswered—Aurora AI helps businesses capitalize on invaluable customer insights and prevents missed opportunities. Eric Vaughan, CEO of IgniteTech and Khoros, emphasized this transformational journey, stating, "We did not merely retrofit AI into legacy systems; instead, we fundamentally rebuilt our products. By doing so, we have unlocked billions of previously untapped data points, transforming them into actionable insights."

Layers of Intelligence and Engagement

Aurora AI operates on three interconnected layers, each reinforcing the other and continuously learning for enhanced performance.

1. The Human Engine - This layer integrates gamification and reputation systems to turn passive members into engaged contributors. Through mechanisms like badges and leaderboards, it cultivates active participation, which is essential for community vibrancy.

2. The Intelligence Layer - This layer employs three live AI systems that are trained on data specific to each community. The Community Language Model (CLM) crafts responses that resonate with the unique vernacular of each group, while Answer Assist addresses unanswered queries, providing verified responses. The AI Moderation feature ensures community guidelines are maintained in real-time.

3. The Action Layer - Powered by Orchestrator, this rules-based automation engine manages routing, escalation, and workflow without the need for coding. Its deterministic operation creates a reliable system, complete with an audit trail.

Vaughan remarked, "With Orchestrator, a two-member team can manage programs previously requiring ten. It's about enabling functions that were impossible due to resource constraints."

Introducing Robust AI Agents

Upon launch, Aurora AI features three Beta AI agents: Answer Assist, AI Moderation, and Orchestrator. Future projections include the addition of a Recommendation Engine and Content Discovery by Q2 2026 and even more advanced agents by Q4 2026. Each AI component is designed to be both auditable and grounded in community data, ensuring compliance at an enterprise level.

Unity in Customer Engagement

Aurora AI is not functioning in isolation; it complements Iris® AI, Khoros' revamped social media management system. Together, these AI-native platforms facilitate a holistic customer engagement strategy, transforming customer interactions across multiple channels into orchestrated intelligence.

For instance, when a customer engages in a community forum and subsequently reaches out for support or mentions the brand on social media, Khoros unifies this data for a streamlined approach to care. The integration of these AI solutions results in a logical, interconnected view of every customer relationship, enhancing the overall experience.

Since IgniteTech's acquisition of Khoros, internal operations have drastically improved, boasting ticket resolution rates soaring from 5% to an impressive 60%, an 82% reduction in support backlogs, and a staggering 97% decrease in downtime.

The Shortcomings of Standalone Solutions

While various smaller vendors have attempted to cater to community and event management, Vaughan points out that platforms lacking comprehensive AI capabilities and domain-specific expertise cannot match the robustness required by large enterprises. He affirms, "Companies merely stitching on forums to event tools lack essential elements like real-time AI moderation and specialized customer care."

A Collaborative Development Approach

Khoros did not create Aurora AI in a vacuum; rather, they actively engaged customers throughout its development via AI-accelerated prototyping. This iterative process ensured that customers' needs shaped the product from the get-go, optimizing final offerings based on real feedback.

Vaughan illustrates this approach, saying, "Instead of conventional pitches, we prototype and gather hands-on feedback. By launch, the product is already aligned with customer expectations."

Complimentary Migration Offers

In a further commitment to community transformation, Khoros announced a complimentary migration service from Khoros Community Classic to Aurora AI, valid through December 31, 2026. This is a significant shift from previous costly migrations, which could reach $500,000 and stretch over months.

Khoros asserts their confidence in Aurora AI by eliminating financial barriers, inviting all customers to make the switch to this next-gen platform. While the company has yet to disclose an end date for Community Classic, it encourages all users to transition to Aurora AI for future innovations.

Conclusion

The digital presence of Khoros has been revitalized with the launch of khoros.ai, marking a new chapter in the company's story, fueled by AI's transformative capabilities. Khoros stands at the forefront of the evolving digital landscape, committing to enhancing customer engagement through AI-driven innovations.

To learn more about Khoros and Aurora AI, visit khoros.ai.