Intercom
Blog
Intercom is redefining how businesses connect with their customers. More than 25,000 global organizations, including Atlassian, Amazon and Lyft Business, rely on Intercom to deliver unparalleled user experiences at any scale. Intercom's platform is used to send over 500 million messages per month and enables interactions with over 600 million monthly active end users. Source
Actions
Media Outlet details
| Scope | National |
|---|---|
| Language | English |
| Country | United States of America |
|
Similarweb UVM |
Request pricing |
|
Comscore UVM |
Request pricing |
Recent Articles
Search ArticlesAnnouncing ‘The 2026 AI Sentiment Report’: How end users feel about AI Agents
Businesses are earning trust in AI by accident. It should be earned on purpose. People become more accepting of AI the more they use it, but acceptance that’s built on mere exposure is passive. Businesses may benefit, but they’ve often done nothing to earn it. Our latest research shows people’s sentiment toward AI is higher than it was last year, and they believe the technology’s become more capable. Trust is also rising, but it’s more conditional.
Announcing Evals and Releases: Evaluate Fin before, during, and after you go live
Today we’re announcing Evals and Releases. Paired with Monitors, they give you an evaluation system for Fin, so you can test changes before they go live, roll them out with control, evaluate every live conversation, and have confidence in the experience Fin delivers. Evals tests Fin’s behavior at scale using simulated scenarios built from your own conversations.
Doing the right thing when things go wrong
It’s Wednesday at 2pm. A routine deploy goes out. Within minutes, customers cannot open the app. Alarms fire, the pager goes off, and the heartbeat metrics begin to drop. In some ways, this is close to a best-case incident. It’s daytime, the team is online, and the author of the change is available. There is already a strong hypothesis of what went wrong. And yet, incidents can still spiral without the right process, tools, and shared instincts. At Fin, shipping is our heartbeat.
How to measure the customer experience as AI scales
CSAT captures less than 10% of your conversations, and the responses you do get skew toward extremes – the delighted and the furious. The vast majority of customers say nothing at all, especially when they’re busy and would rather move on. That silence is a blind spot. You’re reporting to leadership and coaching your team based on a sample that doesn’t represent most of your customers. No amount of CSAT tuning fixes a response rate that low. Coverage isn’t the only limitation, either.
The new product introduction process: How to make sure your Agent is ready every time you ship
When you work at a company that’s constantly shipping new product features, keeping your knowledge base up to date can be a challenge. When you’re using an AI Agent, the consequence of having an out-of-date knowledge base is high. It means every time the product team ships a new feature and customer questions start to land, the Agent doesn’t have the information it needs to answer.
Conversation design: How to make your AI Agent communicate like your team
If nobody on your team has trained your Agent on how to communicate, it’s going to sound like an LLM when it speaks to your customers (because it is one). Conversation design is an emerging discipline in AI-first support teams built to solve this exact problem. A conversation designer owns how your Agent communicates: tone, structure, level of detail, customer experience, handoff and escalation process.
Salesforce signs definitive agreement to acquire Fin
We’re excited to share that we just signed an agreement for Salesforce to acquire Fin for ~$3.6B. The transaction is expected to close in the fourth quarter of Salesforce’s fiscal year 2027. Fin started as Intercom 15 years ago. We changed our name to cap our transformation just weeks ago. We were a darling of the SaaS era and invented so many of the patterns you see in software today.
How to make the case for giving your AI Agent system access
Without access to your backend systems, your AI Agent can answer questions, but it can’t take action. A customer asks to change their payment plan, they get a clear explanation, but a support rep still has to step in and make the change. Someone else needs to update their account, the same thing happens. The Agent knows the answer, it just doesn’t have the ability to act. That gap between answering a query and resolving it keeps your team handling requests your Agent could take on.
Extending Fin as the most open Agent platform
Today, we’re announcing that Fin can be used as a Service Agent on top of HubSpot and Freshworks, meaning you can use the world’s best Agent without migrating off your helpdesk.
Playing a different game
When competing in business, you have two choices. Try to win the game your competitors have chosen to play, or play a different game. In our category, which we call Customer Agents, our well-financed competitors have made generous use of fabricated demos, particularly when it comes to their voice technology. Voice is just extremely hard. And while we all know that the future of customer experiences will be Agent-driven voice, we’re not there yet today.