From marketing tools to autonomous customer experience agents
Autonomous customer experience agents are AI systems embedded inside marketing automation and customer experience platforms that can interpret data, make decisions, and take actions across customer touchpoints with minimal human input, effectively turning traditional software into continuously running, AI-driven customer success teams. Marketing automation AI agents are no longer side features; they are becoming the operating system of modern customer experience platforms. That is the real story behind Klaviyo’s acquisition of Agency and ADA’s acquisition of Algonomy. These deals signal a shift away from dashboards and campaigns toward architectures where AI-native startups acquisition is not about buying revenue, but about buying brains. The platforms that win will be those that treat AI agents as the core product, not as a plug-in.
Klaviyo’s reunion deal: buying an AI-native operating system for growth
Klaviyo did not buy Agency to add yet another feature; it bought an AI-native customer-success company to accelerate its autonomous B2C CRM vision. In a market where AI agent talent is scarce and every SaaS company from Salesforce to Intercom is racing to bolt agents onto existing platforms, buying a functioning team with a working product beats spinning one up from scratch. Agency’s pitch was clear: AI agents that handle customer support and success work that used to require a human team, pushing the boundary of autonomous customer success. Now those agents sit inside a platform that already runs Composer for building campaigns and Customer Agent for post-sale workflows like returns and order tracking. This is not altruism; it is a bet that marketing automation AI agents will drive the next leg of Klaviyo’s growth.
That bet is backed by scale. Klaviyo generated USD 370.6 million (approx. RM1,706 million) in second-quarter revenue, up 26% from USD 293.1 million (approx. RM1,349 million), bringing its annualized revenue run rate near USD 1.5 billion (approx. RM6,900 million). One quotable takeaway: “The product expansion supports management’s strategy of moving beyond marketing automation toward an integrated platform capable of autonomously executing customer interactions.” Crucially, Klaviyo is not only buying technology; it is importing an AI-first product mind. Agency co-founder Elias Torres becomes chief product officer, and his 25-person team is pointed directly at AI agent products. When a company hands the product wheel to the founder of the AI-native startup it acquired, it is declaring that agents are no longer an experiment—they are the roadmap.
ADA and Algonomy: closing the loop from data to fully agentic action
If Klaviyo’s move is about agent-powered CRM, ADA’s acquisition of Algonomy is about building an entirely agentic growth engine. ADA, a data and AI experience company, has acquired Algonomy, a leader in agentic decisioning for retail, strengthening its intelligent growth platform with AI decisioning technology and closing the gap from data and insight to a fully agentic experience. Algonomy brings two decades of work in autonomous, hyper-personalised customer experiences to a platform that already treats AI agents as the brain of customer journeys. Together, ADA and Algonomy promise a system where every customer signal runs through a shared data foundation, and AI agents drive real-time decisions on price, offer, product, message, and response across every touchpoint, simultaneously. That is the future of customer experience platforms: systems that understand customers and act for them, continuously, not campaigns that fire once and stop.
This is more radical than it looks. Most marketing stacks still separate analytics, decisioning, and execution. ADA’s combined platform collapses those layers into an agent-based loop: observe, decide, act—without waiting for a human to approve every step. The company’s leadership is blunt about where this goes: they believe every customer touch point will be AI agent driven, and they are building what they call the world’s most intelligent growth platform to power that world. In other words, ADA has stopped treating AI as an assistant and started treating it as the default operator. Anyone still selling passive dashboards in this market will be outpaced by platforms where agents can change pricing, merchandising, messaging, and even supply chain decisions in real time.
Why platforms are racing toward agent-based architectures
These moves are not isolated; they are symptoms of a structural shift. Marketing platforms are moving beyond traditional software toward agent-based architectures because static tools cannot keep up with real-time, omnichannel customer expectations. Management at Klaviyo says explicitly that AI agents require detailed, real-time customer context to deliver accurate and personalised consumer experiences, and that the company has spent more than a decade building the data infrastructure to provide that context at scale. That is why the Agency deal is described as strengthening Klaviyo’s effort to make AI agents a central layer of its platform. In parallel, ADA’s integration of Algonomy is about closing the gap from insight to action so that AI agents can respond instantly to every customer signal. The pattern is clear: platforms are re-architecting around agents that see the entire customer, not isolated campaigns.
This also explains the frantic pace of AI-native startups acquisition across the ecosystem. Buying companies like Agency or Algonomy brings three things in at once: working product, specialised AI decisioning, and teams already wired to ship agentic systems. One quotable line from this trend: “The Agency transaction strengthens Klaviyo’s effort to make AI agents a central layer of its platform.” On top of that, marketing automation AI agents give platforms a new way to grow revenue. Klaviyo’s second-quarter performance shows that multi-product adoption remains an important growth opportunity, with customers using three or more products already contributing a significant share of annual recurring revenue, and management now expecting 2026 revenue between USD 1.526 billion (approx. RM7,015 million) and USD 1.534 billion (approx. RM7,052 million), or about 24% growth. Agent layers are not side projects; they are growth engines.
The new CX playbook: hire founders, ship agents, own the journey
The most underappreciated part of this shift is who ends up in charge. Founder reunions and strategic talent grabs are not nostalgia; they are a way to inject AI-first thinking straight into product strategy. Torres did not sell Agency to disappear into an org chart; he chose Klaviyo precisely because he was offered the product seat, not just a payout. Now the engineer who once hired Klaviyo’s founder is back, running the product organisation and bringing his entire AI-native team with him. When leaders talk about “getting the band back together,” they are acknowledging that shipping autonomous customer success requires people who have already built AI-native companies, not those trying to bolt AI onto decade-old roadmaps.
For ordinary users—marketers, CX leaders, and growth teams—the impact will be blunt. AI agents will increasingly handle tasks that used to sit with customer support or marketing teams, from answering tickets to drafting campaigns to picking offers in real time. Customer experience platforms will feel less like tools and more like colleagues: always-on agents that propose, simulate, and execute actions while humans set goals and guardrails. The long-term outcome will depend on whether companies like Klaviyo can integrate acquisitions like Agency, expand what Customer Agent and Composer can do, and convert increased AI usage into higher customer spending and stronger retention. The direction, however, is already set: in the next wave of marketing technology, the platforms that own the customer journey will be the ones whose agents do the work.
