Five9 hosted its 2025 Analyst Conference last week in Los Cabos, Mexico, under the theme “Putting the New CX in Action.” The event aimed to demonstrate how Five9 is adapting its business to the changing nature of customer experience, positioning AI and human agents as complementary rather than competing. 

The company framed this as a progression from personnel-heavy operations with light automation, toward “agentic” AI-driven operations where humans provide judgment-based oversight. This vision is increasingly shared across the industry, but no vendor has yet achieved it at scale, which leaves execution, rather than aspiration, as the real battleground. 

The conference opened with outgoing CEO Mike Burkland presenting Q2 2025 results. Five9 crossed $1 billion in annual revenue in 2024 and targets $5 billion in the long term. A key driver is AI, which now contributes around 10% of subscription revenue (~$100m). 

In context, this puts Five9 broadly in line with peers. Genesys recently disclosed $250m in AI ARR and about 10% of its $2.2b base RR. While these numbers don’t line up exactly, it’s clear both vendors are counting on AI to contribute heavily to growth. Burkland suggested that under current growth trends, Five9 could add ~$700m in the next five years without any acceleration, bringing AI to approximately 20% of the business revenue if they hit their goal of growing to $5b.  

Burkland also highlighted some areas requiring transformation: 

Leadership and Organisation

Five9 has seen significant C-suite turnover in 2025, and with Burkland stepping aside, the incoming CEO will have latitude to set a new agenda. This leadership reset could be catalytic, but it also creates short-term uncertainty around continuity of strategy. 

Go-to-Market Strategy Evolution

Five9 emphasised that selling AI requires a different approach from selling core CCaaS. Complex deployments span multiple business functions, lengthening sales cycles and demanding more consultative engagement. To adapt, the company is tightening customer segmentation and distinguishing between high-touch enterprise deals and more transactional mid-market opportunities. 

Central to this is the creation of a “CX Advisory” practice. Positioned not as a sales arm but as a consulting function, the group aims to guide customers through digital transformation, monitor deployment outcomes, and assess line-of-business impacts. The intent is clear: AI deals will stall without this support. The open question is whether Five9 has the organisational scale and credibility to deliver advisory services at the same level as larger peers/partners, or whether this becomes a cost-heavy experiment. 

Financial and Operational Excellence

Five9 signalled that proving return on investment (RoI) is becoming central to both customer retention and margin discipline. As AI features carry higher upfront costs but slower payback, customers demand clear metrics on efficiency gains and revenue impact. Internally, Five9 must continue professionalising its systems and processes to deliver consistent service at scale. 

The challenge is twofold: investors will scrutinise whether Five9 can expand margins while investing heavily in AI, and customers will increasingly compare vendors on demonstrable outcomes rather than promises. Financial discipline and operational maturity are therefore as critical to Five9’s competitiveness as product innovation. 

Product Evolution

Five9 invests heavily in product leadership, bringing in a CPO from Adobe alongside hires from Google, Cresta, Observe.ai, Freshworks and Yellow.ai. This mix signals an intent to blend enterprise software discipline with next-generation AI expertise and suggests Five9 recognises it cannot rely solely on its traditional CCaaS DNA. 

The open question is whether this influx of outside talent accelerates innovation or creates integration challenges. It won’t be easy to pivot a large CCaaS-focused development team to an agile SaaS/AI-based development style. Five9’s product strategy, therefore, hinges not just on fresh talent but also on how quickly that talent can translate into differentiated features and measurable outcomes, and work with the rest of its existing processes.  

Products 

Three areas dominated Five9’s product roadmap discussion: 

Agentic Agents

Five9 aligns with the industry definition: AI handles frontline interactions and escalates to humans for judgment-based tasks. Conceptually powerful, but still immature across the market. No vendor has proven scale here, and adoption will depend on how convincingly Five9 can show containment and accuracy. 

Automated Quality Management (QM)

This is the most immediately monetisable of the three. Auto-QM is already gaining traction industry-wide as supervisors seek real-time insights into agent performance and compliance. Five9’s investment is timely, but differentiation will come from usability and speed of deployment, not just feature parity. 

AI-Infused Routing

Using AI-derived data to optimise routing has clear potential but remains largely experimental. Five9’s demos showed promise but will still need further development and real-world testing to show results.  

In short, Five9 is working across the right AI use cases, but maturity levels vary. The near-term revenue opportunities lie in Auto-QM and IVA-type features already in market; agentic AI and AI-driven routing remain aspirational, and Five9’s window to establish leadership here is narrowing as competitors move quickly. 

Customers 

A roundtable with four Five9 customers—from financial services, healthcare, and outsourcing—reinforced a consistent theme: reliability was the decisive factor in choosing Five9. All reported improved uptime and service quality compared to prior on-prem or CCaaS providers. 

On AI, adoption is cautious. Most customers had begun rolling out IVAs, but regulatory and security concerns, particularly in finance and healthcare, slowed progress on more advanced AI. The most telling feedback came from a customer already piloting agentic use cases: 

• Expectation vs. reality—Initial vendor marketing (not from Five9 specifically but across all CCaaS vendors) created unrealistic expectations of rapid containment and instant RoI. In practice, deployments required lengthy tuning cycles, with low early containment rates before gradual improvement. 

• Prioritisation of opportunities—The customer identified over 50 potential agentic use cases outside the contact centre. Only those with clear and immediate RoI were prioritised, and some of the highest RoI are not technically feasible yet. This suggests that “agentic” needs to justify its investment costs heavily and that CX may not be where it is first deployed. 

Customers also noted that AI is reshaping performance measurement itself. Traditional KPIs like deflection and handle time remain. Still, new ones are emerging—escalation time and IVA-driven sales activity—highlighting how AI is not just a tool but a driver of operational redefinition. 

Summary 

In my mind, Five9 leaves this conference at an inflexion point. The company knows the direction it must take—AI-first operations, more consultative sales, and a stronger product pipeline—but the path forward hinges on leadership transition. Until the incoming CEO sets the agenda, strategy remains provisional. 

In the near term, engineering teams are building a more advanced AI foundation, while new commercial leadership is working to align sales and customer management with more complex deal cycles. The execution challenge is ensuring these pieces come together fast enough to maintain momentum. 

Five9’s state of flux mirrors the broader CCaaS market, where every vendor is wrestling with how to move from aspiration to scaled AI outcomes. Five9 must also embrace these challenges, and the result could be a stronger CCaaS competitor or a push to be a broader AI services provider. Either way, the next 12–24 months will determine whether Five9 narrows the gap with larger peers or comes under threat from faster-moving agile competitors.