Beyond the Chatbot: How We’ll Really Work with AI in the Future

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Picture this: You’re rushing to a meeting, coffee in one hand, phone in the other, trying to prepare for your presentation. Instead of awkwardly typing on your phone, you simply say, “Hey AI, what were the key points from yesterday’s team discussion?” That’s the future of AI interaction we’re heading towards – one where artificial intelligence adapts to our natural way of working, not the other way around.

While chatting with AI through text has become commonplace, it’s just the tip of the iceberg. By 2025, we’ll be interacting with AI in ways that feel as natural as talking to a colleague or sketching on a whiteboard.

Read more about our 2025 predictions in our blog 7 Enterprise AI Trends Reshaping Business in 2025 

Why Agent Experience Matters

Think about how frustrating it is when you’re trying to explain something complex via text, and you find yourself typing, “No, not that – I meant…” Now imagine if you could just point to what you mean or quickly sketch it out. That’s why Agent Experience (AX) matters. Poor AX is like having a brilliant colleague who only communicates through Post-it notes – the expertise is there, but accessing it is needlessly difficult.

When done right, good AX means that your AI interacts with you in a natural way, which greatly increases AI usefulness. Let’s explore how this will work in practice.

What are Agents? 

These sophisticated software programs are designed to assess their environment, make decisions, and take actions to achieve specific objectives. They’re equipped with advanced AI technologies, such as machine learning and natural language processing, enabling them to interact intelligently with users, systems, and data. Learn more how they work here 

1.   Voice as a First-Class Interface

Imagine these everyday scenarios:

• A chef in the middle of cooking asks, “What’s the conversion for 350 degrees Fahrenheit to Celsius?” while their hands are covered in dough
• A maintenance technician inspecting equipment says, “Log that filter #A447 needs replacement within 48 hours” without breaking their inspection flow
• A teacher walking around the classroom asks, “Set a reminder to follow up with Jamie’s parents about the science project” while helping another student

The AI responds naturally, confirming actions and asking for clarification when needed – just like a human assistant would.

2.   Visual-Driven Collaboration

Here’s how visual interaction with AI transforms common tasks:

• A marketing team brainstorming campaign ideas draws rough sketches on a digital canvas. The AI instantly generates polished versions and suggests complementary design elements based on their brand guidelines
• A data analyst circles an unusual pattern in a graph, and the AI immediately deep dives into that anomaly, pulling up relevant historical data and possible explanations
• An interior designer snaps photos of a room, and the AI generates multiple design options in real-time, allowing the designer to swipe through alternatives while discussing them with their client

3.   Proactive Recommendations

The AI becomes a true assistant that anticipates needs:

• Before a sales call, it automatically pulls up the prospect’s recent social media posts about challenges your product could solve.                        
• When you’re working on a document, it notices you repeatedly checking certain reference materials and offers to create a quick-access summary
• If you’re about to leave the office, it reminds you about tasks that require in-person attentiontomorrow

Advanced Business Use Cases

Interactive Data Analysis

• A business intelligence team collaboratively filters through sales data by drawing circles around interesting patterns, with the AI automatically generating and narrating insights about selected regions
• A researcher says “Compare these two datasets and show me what’s different” while highlighting areas on their screens, getting instant visual and verbal explanations of key statistical differences                                     

 Navigating Massive Document Libraries

Here’s how AI transforms document search and analysis:

• A lawyer exploring case law says “Find me precedents similar to this case” while highlighting key passages, and the AI projects relevant excerpts from thousands of documents onto their office wall, organized by relevance
• A technical writer working on documentation gestures through a “virtual filing cabinet” of product specs, asking “What changed between these versions?” and getting instant visual diffs
• A compliance officer says “Show me all policy violations from last quarter” and walks through a virtual timeline where each incident is represented as an interactive node they can expand with a tap

Building Better AX: Principles in Action

1.   Contextual Understanding Real-world example:

When you’re in your car, the AI automatically switches to voice mode and adjusts its responses to be brief and clear. In your office, it might provide more detailed written responses with visual aids.

2.   Seamless Multimodality: Picture this workflow:

• Start by typing a question about quarterly results
• Point to specific data points on your screen for more details
• Switch to voice to brainstorm solutions
• End with the AI generating a visual summary of your discussion

3.   Personalization: The AI learns that:

• You prefer financial data in charts rather than tables
• You like to review complex information in the morning
• You often need technical terms explained in simpler language. It adapts its communication style accordingly.

4.   Feedback Loops: Making feedback natural and immediate:

• Swipe right to approve an AI’s suggestion
• Use hand gestures to resize or reorganize information in AR
• Simply say “that’s not quite what I meant” to trigger a different approach

The Future of Agent Experience (AX)

In 2025 and beyond, working with AI will feel less like using a tool and more like collaborating with a capable partner. Whether you’re sketching ideas, discussing problems, or exploring data, the AI will adapt to your preferred way of working. The best part? You won’t have to think about the interface – it will just work, as naturally as talking to a colleague or jotting down notes.

Remember when smartphones first appeared, and people wondered why they’d need more than a regular cellphone? We’re at a similar turning point with AI interaction. Soon, we’ll wonder how we ever managed with just text-based chat.