A UK startup is betting that the future of mundane work won’t be managed by humans at all – at least not the calendar part.
Meet-Ting, a London-based company backed by the Google AI Startup Program, has launched an AI assistant called Ting that can schedule, reschedule, and manage meetings directly inside everyday communication tools like email and messaging apps.
Instead of asking users to click booking links or juggle calendar dashboards, Ting operates inside natural conversations, all while quietly handling a user’s day-to-day tasks in the background.
For busy professionals (and those endlessly drowning in emails), the company says this marks the beginning of a larger shift. Especially when it comes to autonomous AI agents that act on behalf of users, not just as tools but as decision-makers.
“We’re seeing the same pattern as other agent companies like Clawdbot – people don’t want to manage the agent, they want it to just handle things,” Dan Bulteel, co-founder of Meet-Ting, said. “Once Ting understands your priorities and relationships, people stop managing their calendars themselves. That’s delegation.”
A calendar assistant that learns your preferences
Meet-Ting was founded by Dan Bulteel and Mariana Prazeres, who met on the YC Co-Founder Matching Platform. It wasn’t long before the two realised they had the same frustration and set out to remove what they describe as “friction” in modern work communication.
Bulteel, formerly global head of social media at TikTok and parent company ByteDance, leads product strategy, while Prazeres oversees the technical architecture as the company’s AI engineer. Early support from venture studio Cocreatd also helped the pair develop the product and bring it to market.
Ting differs from traditional scheduling software by working directly inside email threads and chat conversations. It reads context – including tone, urgency, and participant preferences – and builds what the company calls a “decision dataset.” Over time, it learns how a user prefers to organize their schedule and applies those patterns automatically.
The assistant can coordinate meetings with up to five participants, draft agendas, suggest times, reschedule conflicts, and even follow up afterward. The goal is to reduce the repetitive negotiation that often surrounds meetings to a nearly invisible process.
Fast early growth and ecosystem support
The startup says adoption has accelerated quickly. Over the past six months, Meet-Ting reports roughly 50% monthly user growth, with early adopters spread across the UK, US, Brazil, and several European markets including France, Germany, Italy, and Spain.
During beta testing, some heavy users relied on Ting to organize as many as 20 meetings per month.
“The question isn’t whether AI can book meetings – it’s whether people will let it,” Bulteel says. “What we’ve learned is that delegation happens when the technology understands what you value. We’re building toward a world where everyone has an availability agent, whether that’s coordinating with people, other agents, or enterprise systems.”
Participation in Google’s startup program provides Meet-Ting with cloud credits and technical support, while collaboration with OpenAI positions the company within a rapidly expanding AI ecosystem focused on autonomous agents.
Betting on autonomous AI as infrastructure
Looking ahead, Meet-Ting aims to make availability agents a core layer of professional infrastructure – as common as email itself. In the near term, the company is focused on expanding beyond early adopters and improving accuracy so users feel comfortable delegating more control to the AI.
Competition is intensifying, with both large tech firms and specialized startups racing to build smarter scheduling tools. Meet-Ting’s strategy, however, centers on modeling human scheduling behavior and embedding AI seamlessly into everyday conversations rather than requiring users to change their workflow.
If successful, Ting could represent a broader evolution in workplace technology. Software that doesn’t just assist humans, but actively manages parts of their decision-making. And for knowledge workers already overwhelmed by meeting requests, that future may arrive sooner than expected.
