Braiin Expands RADIUS CX Platform With Agentic AI Push

Customer experience technology provider Braiin has announced a major upgrade to its RADIUS CX platform alongside an expansion into agentic AI, positioning the company to compete for a share of the global CX software market, which it values at USD 56.9 billion. The update reflects a broader push by CX vendors to embed autonomous, task-performing AI agents directly into their service and engagement tools rather than offering AI as a bolt-on feature.

Details on the specific capabilities of the upgraded RADIUS CX platform remain limited in initial reporting, but the move signals Braiin's intent to compete more directly with established CX software vendors by building agentic AI — systems capable of autonomously executing multi-step tasks — into its core offering.

Agentic AI marks a shift from AI that assists human agents to AI that can independently complete customer-facing workflows — resolving queries, triggering actions, or coordinating across systems without a human in the loop at every step. For CX leaders, that changes the calculus on where automation sits in the service stack: platforms are increasingly expected to execute, not just advise.

The scale of the market Braiin is targeting underscores how aggressively vendors are repositioning around AI capability as a competitive differentiator. For enterprises evaluating CX software, this signals a near-term shift in vendor roadmaps toward autonomous agents, with implications for governance, oversight and how much decision-making authority organizations are willing to hand to AI in direct customer interactions.

— USD 56.9 billion is the global CX software market size Braiin is citing as its expansion target.

Every CX vendor is racing to attach the word "agentic" to its platform right now, and market-sizing numbers like this one are doing a lot of rhetorical work to justify that race. The real test isn't whether a platform can claim autonomous AI — it's whether that autonomy is scoped, auditable and trusted enough for customers to actually want it making decisions on their behalf.

Most organizations chasing agentic AI are optimizing for capability before they've solved for trust — and customers can tell the difference between an agent that resolves their problem and one that just moves faster toward the wrong answer. The operators who win here won't be the ones with the most autonomous AI; they'll be the ones who design the narrowest, most reliable handoffs between AI and human judgment, and are transparent with customers about which is acting at any given moment. Before adopting any "agentic" platform upgrade, CX leaders should ask what happens when the agent gets it wrong — not just what it does when it gets it right.