In the modern digital world, customer service has become one of the most emotional parts of technology.
Not because it’s warm or friendly, but because it so often isn’t.
You’ve felt it before. You open a chat, explain your problem then get switched to email, then to voice. Then to another agent.
Suddenly you’re repeating yourself like you’re stuck in a Groundhog Day, and whatever goodwill you had for the brand leaks out one channel at a time.
That frustration is the gap Sendbird is trying to close.
Built on conversations
Founded in Korea back in 2013, long before “AI agent” became a buzzword, the company built the pipes that power chat, voice and video inside apps.
If you’ve messaged a driver, spoken to support in an app, or chatted inside a service you use every day, there’s a decent chance Sendbird was running underneath.
Today, more than 4,000 companies rely on its infrastructure, including household names like DoorDash, Match Group and Noom.
Across those apps, over seven billion conversations flow through Sendbird every month.
That scale is crucial, because it means Sendbird doesn’t just see idealised demo conversations — it sees the messy, human ones.
Typos. Frustration. Accents. Pauses. Drop-offs. Real life.
That experience led to a simple realisation: most AI agents aren’t actually built for conversations. They’re built for transactions.
Ask a question, get an answer. Close the ticket, forget everything.
That’s where the idea of an AI concierge comes in.
What an AI concierge really means
An AI concierge isn’t a chatbot that waits to be poked.
It’s closer to a good hotel concierge, one who remembers your name, knows what you like, notices when you disappear mid-sentence, and picks up where you left off without making a fuss.
Sendbird’s take on this is delight.ai, a branded AI concierge designed to live inside a company’s own apps, channels and voice systems.
The key difference is memory.
Most AI support resets at the end of every interaction; Delight.ai doesn’t.
It builds a living understanding of each customer over time – preferences, past issues, patterns – and carries that context across chat, SMS, email and voice.
If a conversation drops, it doesn’t vanish. If a customer switches channels, the thread stays intact.
That alone sounds small, but at scale it’s transformative.
It turns customer service from a series of disconnected encounters into a relationship. Every interaction adds context. Every bit of context improves the next interaction.
Over time, the experience starts to feel less like dealing with a system and more like dealing with someone who knows you.
From reactive support to anticipation
The other shift is proactivity.
Traditional support waits for problems. An AI concierge can anticipate them.
If a delivery stalls, a booking lapses, or a renewal window approaches, the system can reach out first. And it does this with awareness of who it’s speaking to.
Voice is where this gets hardest, and where Sendbird has gone deep.
Real phone calls are chaotic. People interrupt themselves. Background noise intrudes. Emotions spike.
Sendbird’s voice AI agents are trained for that chaos, handling accents, hesitation and messy human speech while preserving context if a call drops or escalates to a human.
Why trust underpins everything
All of this only works if companies trust the system running it.
That’s why Sendbird built Trust OS – a governance layer that gives brands visibility, control and oversight over what their AI agents say and do.
Conversations are observable. Decisions are traceable. Policies are enforced.
In 2025, that framework earned ISO/IEC 42001 certification, the global benchmark for responsible AI management.
That matters because AI without trust doesn’t scale. Enterprises don’t want clever answers — they want safe, predictable ones.
What makes Sendbird interesting is that it’s reframing customer experience around continuity rather than efficiency.
Around memory rather than scripts. Around conversations rather than tickets.
Every conversation makes the system better. Every interaction adds context.
Over time, the technology fades into the background, and what’s left is something rare in digital services: being remembered.
In the end, that might be the real breakthrough.
Read more: Korea’s Power Play: The chip that could change how AI really scales
