Tandem lets you build your own in-app AI agent and copilot. It lives inside your product interface so users can prompt your app to do actions, ask questions, and get explanations — a new way to use your product.

What use cases does Tandem support?

Tandem supports user onboarding, activation, feature adoption, product usage, support ticket deflection, revenue expansion, trial conversion, and self-service success. For internal tools: employee onboarding, software training, IT self-service, and process compliance.

How do I add AI to my product without rebuilding?

With a single JavaScript snippet. No backend changes or API integrations. Navigate to any page, click to place an AI agent. Non-technical teams configure and deploy without engineering.

What can the in-app AI agent do?

It understands natural language, executes actions like clicking buttons and filling forms, navigates anywhere in your app, drives multi-step processes, triggers proactively, and resolves support questions in context.

How does Tandem reduce support tickets?

The AI agent resolves issues in context before they become tickets, handles complex questions, and delivers consistent help across every touchpoint. Customers report up to 70% ticket deflection.

Yes. SOC2 Type II certified, GDPR compliant, and AES-256 encrypted for enterprise-grade security.

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The AI user interface shift happening right now

Nov 17, 2025

The AI user interface shift happening right now

Christophe Barre

co-founder of Tandem

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AI-native interfaces make users more likely to activate & stick around. See exactly how Tandem can help you achieve it without pulling engineers off roadmap.

Hey there – Christophe here,

Last week, a Series C CEO told me something that stuck: "Everyone has the same features now. The long-term game is about taste."

He means, with AI, everyone can ship features faster. More features, more competition, but also more mess. The differentiator? A fast, delightful experience that cuts through the mess.

And he's right. The bar for product experience just shifted. Again.

What interfaces do users expect in 2025

Forget the philosophy. Here's what users now expect:

They describe what they want in plain language → it happens
Zero learning curve for complex actions
The UI anticipates their next move, doesn't just react

The difference? One product feels like work. The other feels like magic.

Why this matters to your metrics

Your activation rates are suffering. When new users hit your product, they're comparing you to Claude, to Notion, to every AI-native tool they used this morning. If completing their first key action takes 7 clicks instead of one natural command, you've already lost them.

Your support team is drowning. Every "how do I...?" ticket is a UX failure. Smart, contextual help that actually does the work for users? That's a 40-60% reduction in repetitive tickets we're seeing across our customers.

Poor feature adoption = churn. You ship great features. Nobody uses them. Why? Because they're buried three menus deep. AI-powered discovery surfaces the right feature at the right moment. Users who don't adopt features don't stick around.

How to do it: Omni.co example

We work with great companies on this topic and Omni.co (a business intelligence and data analytics platform) is one of them. We are helping them deploy next level AI user experience for their users:

#1. Quick Action Bar

Users type what they want. The product does it. No hunting through menus.

#2. Smart Edit Button

Contextual actions appear exactly when needed. One click instead of five.

Here's what makes this approach different: After the initial setup, you do not need engineers.

It doesn't feel bolted on your product. It feels like part of it, except you get there with way less work and see impact in days, not quarters.

The results are immediate

Aircall.io has been using Tandem for a few months and saw a 20% bump in activation when we added this to their "create new number" flow. Not because we changed their product, we just removed the friction between intent and action.

Your users already expect this

Open any modern SaaS tool. The good ones feel different now. They respond to natural language. They anticipate needs. They feel intelligent, not just functional.

Your users are experiencing this everywhere else. When they come back to your product, what do they feel?

The gap between "good enough" and "delightful" just became the gap between "chosen" and "churned."

Want to see what this looks like in your product? We can show you on your actual workflows.

Cheers,
Christophe

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