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Braiin launches Force AI to orchestrate RADIUS contact-center models and workflows — Source: OpenTools Team · AI-generated conceptual illustrationSource image

Braiin launches Force AI to orchestrate RADIUS contact-center models and workflows

By OpenTools Team

Braiin’s October 26 launch describes a shared orchestration layer for customer‑facing agents, human‑agent assistance and analytics, with issuer‑stated cloud, on‑premises and hybrid availability.

A new orchestration layer for the existing RADIUS platform

Braiin announced Force AI on October 26 as an orchestration layer at the core of RADIUS, its contact‑center‑as‑a‑service platform. The release describes customer operations across voice, chat, messaging, email, social and video, bringing model selection, customer‑facing agents, assistance for human agents and interaction analysis into the same platform.

Braiin says the expanded RADIUS suite and Force AI are available now for deployment globally in cloud, on‑premises and hybrid environments. That is the issuer’s availability statement. The release does not supply a region‑by‑region activation schedule, customer subscription requirements or pricing, and OpenTools has not tested those deployment paths.

Engage, Assist and Insight address different parts of a contact

The release separates the product into three roles. AI Engage is the customer‑facing agentic layer: Braiin describes it handling requests and business workflows, with escalation to a human when needed. AI Assist supplies human agents with contextual information, suggested responses, next actions and workflow guidance. AI Insight analyzes interactions and operational data for signals such as sentiment, patterns and performance gaps.

For a contact‑center buyer, that distinction helps frame the implementation discussion. Automating a routine customer request, advising an employee during a complex interaction and analyzing the conversation afterward are different jobs, even when they share a model and knowledge layer. The announcement’s descriptions do not establish the effectiveness of those functions in a particular operation.

Model choice, enterprise knowledge and actions remain separate decisions

Braiin’s integration description names OpenAI, Anthropic’s Claude, Google Gemini, Azure OpenAI and customer‑supplied AI. It also names Llama and Mistral as examples of open models for on‑premises use. These are issuer‑described integration choices, rather than independent proof of compatibility with every model or configuration.

The same release describes retrieval‑augmented generation using a client’s enterprise knowledge, alongside a System Action Engine for automated workflows such as CRM updates. Supplying information for an answer and allowing the system to change a business record are distinct implementation decisions. Teams evaluating the launch therefore need to establish their supported model, source connections, permitted actions and deployment arrangement. The announcement provides the product architecture, rather than an independently verified security or compliance certification.

AI‑generated conceptual illustration by OpenTools Team: conversation tiles, a headset and a relay hub represent customer‑contact orchestration and human assistance. This is illustrative artwork, not an actual Braiin interface, installation, hardware or tested result.

Sources

1.release separates the product into three roles (globenewswire.com)
2.imagedelivery.net (imagedelivery.net)

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BraiinForce AIRADIUSContact centersEnterprise AI