Genspark’s AI Agent Makes Your Phone Calls, Powered by Twilio

PALO ALTO, CA – February 03, 2026 – The era of AI assistants that merely answer questions is giving way to a new generation of agents that take action. Genspark, a technology firm founded by veterans from Google and Meta, has launched an AI agent named “Call for Me” that makes outbound phone calls to handle real-world tasks on behalf of users. This leap from text-based interaction to real-world voice communication is powered by a strategic integration with Twilio’s Programmable Voice platform, enabling the AI to operate globally across dozens of languages and regulatory environments.

The service allows users to delegate tedious phone-based errands—from booking a dinner reservation in Tokyo to chasing a vendor in Berlin or checking appointment availability in New York. Users describe their intent, and the AI agent handles the entire phone interaction, providing a structured summary and audio recording upon completion. This partnership signals a significant shift in how both individuals and businesses can leverage AI to overcome communication bottlenecks and automate previously manual workflows.

The Evolution of the Personal Assistant

Genspark’s “Call for Me” represents a tangible step toward agentic AI—systems designed not just to process information, but to execute multi-step tasks autonomously. Unlike passive assistants that wait for commands, this AI proactively engages with the world through one of its most enduring communication channels: the telephone.

“There's a huge amount of work that still lives behind phone calls, and communication shouldn't be a bottleneck,” said Greg Sun, Lead Engineer for the AI agent at Genspark, in a recent announcement. “We're giving people a way to move faster on tasks that were previously manual, fragmented, or simply avoided altogether.”

The company reports strong initial adoption, with 180,000 unique users globally and up to 800 outgoing calls placed daily. According to Genspark, the integration with Twilio has yielded a 94.3% call success rate. However, the real-world performance of such technology is still being tested. Independent analysis found the agent succeeded in about 83% of basic tasks, but sometimes struggled with more complex conversations, such as those involving multi-department transfers or navigating conversations in noisy environments. The technology’s multilingual capabilities, which are used in 23% of all calls, also showed limitations with heavily accented English and some non-English languages in certain tests, highlighting the nuanced challenges of real-world conversation that developers are still working to solve.

Despite these growing pains, the appeal for busy professionals and knowledge workers is undeniable. The ability to offload the friction of hold times, phone trees, and routine follow-ups promises significant productivity gains and a re-focusing of human effort on more strategic work.

The Global Network Behind the AI Voice

For an AI to make phone calls reliably across the globe, it needs more than just a smart script; it requires a robust, compliant, and scalable telecommunications backbone. This is where Twilio, a leader in customer engagement platforms, becomes the critical enabler. When Genspark’s user base began to scale across more than 40 countries, it faced a labyrinth of local regulations, compliance requirements, and inconsistent call quality.

By building on Twilio’s global voice network, Genspark was able to consolidate its telephony onto a single platform, ensuring low-latency connections and high call quality while offloading the immense operational overhead of managing carrier integrations and regional rules. This allows Genspark’s engineers to focus on advancing their AI's conversational capabilities rather than untangling telecommunication logistics.

This partnership is a cornerstone of Twilio’s broader strategy to become the essential infrastructure layer for the next wave of AI-driven communication. Analysts see a massive financial opportunity in this space, with some projecting that Twilio’s Voice AI business could grow from an estimated $50 million today to over $200 million annually, with some optimistic models suggesting a potential market in the billions as AI-driven calls become more commonplace. “Phone calls remain one of the fastest and most reliable ways to reach a business today,” noted Robert Woolfrey, a Vice President at Twilio. “AI-driven calling makes that experience much easier, helping people move from questions to outcomes faster and with more confidence.”

Navigating a World of AI Conversations

The rise of AI agents that can convincingly mimic human conversation introduces a host of complex technical and ethical considerations. Chief among them is the legal requirement for transparency. In the United States, the Federal Communications Commission (FCC) has established rules requiring automated calls to disclose that the caller is an AI-generated voice at the beginning of the interaction. Similar regulations, such as the GDPR in Europe, mandate explicit consent for data collection and processing, including voice recordings.

Data privacy is another paramount concern. These AI systems record and transcribe conversations that may contain sensitive personal information. Securing this data against breaches and ensuring transparent policies on its use and retention are critical for building user trust and maintaining legal compliance. The technology must be carefully designed to handle everything from payment information under PCI DSS standards to health information under HIPAA.

Beyond legal frameworks, there are practical challenges. While AI has become adept at handling predictable scripts, its ability to navigate unexpected conversational turns, understand nuanced human emotion, or parse speech in a loud café remains a significant technical hurdle. As the technology improves, developers must also remain mindful of the “uncanny valley”—the unsettling feeling people experience when an AI is almost, but not quite, human. The ultimate goal is a seamless and helpful interaction, not a deceptive or uncomfortable one.

Redefining Work for Humans and Machines

The impact of AI-powered calling extends far beyond personal convenience, promising to reshape the customer service and knowledge worker industries. In call centers, AI agents are poised to automate routine inquiries, freeing human agents to handle more complex, high-empathy issues. This represents a shift from replacement to augmentation, where AI acts as a first line of support or a real-time assistant for its human counterparts, synthesizing data and suggesting responses.

For the broader knowledge workforce, tools like “Call for Me” could fundamentally alter daily workflows. Studies have shown that knowledge workers spend a significant portion of their time on automatable tasks. By delegating these activities to AI, employees can dedicate more of their cognitive energy to creative problem-solving, strategic planning, and innovation. This transformation necessitates the development of new skills, particularly “AI fluency”—the ability to effectively manage, collaborate with, and direct AI agents to achieve desired outcomes.

As organizations integrate these tools, they will be compelled to redesign internal processes to accommodate a hybrid workforce of people and AI agents. The rise of machine-originated calls will stress-test legacy customer experience systems, forcing companies to streamline their own automated menus and routing logic. Ultimately, the successful adoption of this technology will depend not just on its technical prowess, but on the ability of businesses and individuals to adapt to a future where collaboration with intelligent machines is an integral part of daily work.