Sangoma Bets on Agentic Voice AI to Defend Its Installed Base

Sangoma Bets on Agentic Voice AI to Defend Its Installed Base

Sangoma Technologies announced the production availability of Sonella, its agentic Voice AI solution, on November 10, 2026 [1], following a successful pilot earlier in the year [1]. The launch embeds autonomous voice agents natively into Sangoma's UCaaS, CCaaS, and CPaaS stack [1], targeting its base of over 100,000 customers and 2.7 million UC seats [1]. With AI/ML capability now an important purchase factor for 43% of enterprise communications buyers [2], Sonella's timing aligns with a market that is actively rewarding vendors that can demonstrate agentic resolution without adding integration complexity [3].

What is Covered in this Article

  • Sonella production launch and agentic Voice AI capabilities [1][1]
  • Native integration advantage for existing Sangoma customers [1]
  • Cross-industry addressable market and key use cases [1][1]
  • Sangoma's installed-base distribution channel and 40-year heritage [1][1]
  • Enterprise AI/ML adoption tailwinds and competitive pressure [2][3][3]

The News: Sangoma Technologies (TSX: STC; Nasdaq: SANG) announced the production availability of Sonella, its agentic Voice AI solution, on November 10, 2026 [1][1]. Following a successful pilot earlier in 2026 [1], Sonella enables intelligent voice agents to engage customers in natural conversations, scheduling appointments, routing calls, answering common questions, and creating support tickets [1]. The solution targets healthcare, hospitality, retail, education, and professional services organizations [1]. For existing Sangoma customers, Sonella extends their current communications environment without requiring a separate AI build [1]. COO Jeremy Wubs stated the goal is making AI 'simple, accessible, and delivering real business value from day one' [1]. Sangoma serves over 100,000 customers across 2.7 million UC seats [1].

Sangoma Bets on Agentic Voice AI to Defend Its Installed Base

Analyst Take: Sonella's production launch represents Sangoma's clearest strategic statement yet: the company intends to compete on AI embeddedness rather than cede the agentic layer to larger CCaaS rivals. Futurum Research expects market positions to shift toward vendors that can most effectively demonstrate autonomous 'agentic' resolution and lower the total cost of ownership through native intelligence layers [3]. Sangoma is executing directly against that thesis, using its installed base as the primary distribution channel.

Native Integration as a Competitive Wedge

The most defensible aspect of Sonella's positioning is its native fit within Sangoma's existing communications stack [1]. For existing customers, Sonella extends their communications environment with intelligent voice agents without the complexity of building and integrating a separate AI solution from scratch [1]. This matters because 41.6% of enterprise organizations cite a skills gap as the biggest barrier to adopting AI-powered networking [2]. Sangoma removes that barrier by eliminating the need for in-house AI/ML engineering to stand up voice automation. Differentiation among CCaaS vendors is increasingly defined by how effectively agentic AI is embedded into workflows and integrated with CRM, ERP, and digital experience platforms [3], and Sonella's architecture is designed precisely to meet that standard for Sangoma's customer base.

Broad Use-Case Coverage Across High-Volume Industries

Sonella targets a wide cross-industry addressable market spanning healthcare, hospitality, retail, education, and professional services [1]. The use cases, including appointment scheduling, call routing, FAQ handling, and support ticket creation [1], share a common characteristic: they are high-volume, repetitive interactions that consume agent capacity without requiring complex judgment. By automating these interactions, Sangoma enables employee redeployment toward higher-value customer engagement. This operational efficiency framing is well-timed. Enterprise organizations are already operationalizing AI automation at scale, with 52.3% reporting use of automated root cause analysis in network operations [2], signaling that buyers are comfortable with AI handling routine tasks autonomously.

Heritage as Trust Signal, Scale as the Challenge

Sangoma's 40-year market presence [1], stewardship of open-source Asterisk and FreePBX [1], and 2.7 million UC seats [1] provide a credible foundation for Sonella's rollout. Product performance and reliability ranks as the top vendor selection criterion for 49.4% of enterprise networking buyers [2], and Sangoma's track record directly addresses that criterion. The competitive challenge is scale. RingCentral is already moving up-market by bundling UCaaS and CCaaS, using its new Agentic Voice AI suite to provide immediate 'virtual labor' value to mid-sized firms [3], the same segment Sangoma serves. Larger rivals carry significantly greater AI R&D budgets, meaning Sangoma must convert its installed base quickly and demonstrate measurable outcomes before competitors deepen their agentic capabilities further.

Market Timing and the Urgency of Proof Points

The enterprise appetite for AI-driven communications is real and growing. AI/ML capability influences purchasing decisions for 43.0% of enterprise networking and communications buyers [2], a meaningful share that Sangoma can address with Sonella's production availability. However, influence is not yet decisive for most buyers, which means Sangoma has a window to build credibility through early customer outcomes before AI capability becomes a binary qualifier. The company's pilot-to-production progression [1] suggests it has already gathered initial validation. The next critical step is publishing concrete performance metrics, such as call deflection rates, resolution accuracy, and time-to-value, that convert installed-base customers into active Sonella deployments.

What to Watch

  • Installed-base conversion rate: what share of Sangoma's 100,000 customers activate Sonella within the first two quarters of 2027 [1]
  • Competitive response from RingCentral: whether its Agentic Voice AI suite expands mid-market pricing pressure on Sangoma in Q1 2027 [3]
  • Proof-point publication: whether Sangoma releases measurable call deflection or resolution accuracy data from early Sonella deployments in Q1 2027 [1]
  • AI capability as a decisive criterion: whether the 43% of buyers who call AI/ML an important but non-decisive factor shift toward treating it as a hard requirement in 2027 purchasing cycles [2]

Sources

1. Bringing Agentic Voice AI to Businesses Communications, Sangoma

2. 2H 2026 Enterprise Networking Decision Maker Survey, Futurum Research

3. Futurum Signal Report | Contact Center as a Service (CCaaS) Platforms – February 3, 2026, Futurum Research, February 2026


Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Read the full Futurum Group Disclosure.

Other Insights from Futurum:

BT's Full-Fibre Milestone Meets the AI-Driven Enterprise Moment

Marvell Buys Lumentum Because AI Networking Runs on Lasers

Scottish Wide Area Network Completion | BT

Author Information

FuturumAI

This content is written by a commercial general-purpose language model (LLM) along with the Futurum Intelligence Platform, and has not been curated or reviewed by editors. Due to the inherent limitations in using AI tools, please consider the probability of error. The accuracy, completeness, or timeliness of this content cannot be guaranteed. It is generated on the date indicated at the top of the page, based on the content available, and it may be automatically updated as new content becomes available. The content does not consider any other information or perform any independent analysis.

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