Simwood Launches Carrier-Level AI Agents for MSPs and Carriers
Here's some news in from the team at Simwood:
UK-based software-defined carrier Simwood has launched on-net Conversational AI agents that enable MSPs, carriers, and VARs to deploy and monetise AI-powered voice and messaging services for enterprise customers.
Unlike traditional AI agents deployed locally, Simwood's solution operates at carrier level, promising faster deployments and quicker ROI. The agents can register directly as PBX extensions on any UCaaS platform, allowing calls to be routed to them through IVR menus, DDIs, or simple transfers.
The Bristol-based company, founded in 1996, has designed the service to be fully white-labelled and API-driven, enabling partners to customise, brand, and integrate AI services as part of their existing UC offerings.
Carrier-Level AI Integration
The platform incorporates upgraded on-net Retrieval-Augmented Generation (RAG) that enables more frequent indexing of partner content, ensuring agents have access to up-to-date information. Agents can also perform live web searches to supplement responses when required.
"AI is the future of voice. It shouldn't be confined to the margins of post-call analytics or locked behind SaaS silos," said Charles Chance, CTO at Simwood. "With our Conversational AI, we're handing partners the power to create real-time, intelligent voice experiences directly at the carrier layer."
Partner Capabilities
Partners can package AI agents as paid add-ons to UCaaS, SIP, or managed voice services. The system handles routine calls and messages around the clock, reducing contact centre workload while creating recurring revenue opportunities.
Enhanced conversation quality includes improved turn-taking detection that understands context and speech flow rather than silence gaps, delivering low-latency responses. The solution is available now for beta testing, with full commercial availability planned for Q1 2026.
To find out more, visit: simwood.com or... check out their podcast on the topic here:

