Google AI Mode Swaps UI for Agents: What SaaS Teams Must Fix for 2026

More than 60% of companies are testing AI agents to automate tasks and streamline how users get things done, according to McKinsey’s 2025 AI report.

Yet, fewer than 10% have managed to scale them in any given business function.

Now, Google’s aiming to close this gap between ambition and execution. Its new AI Mode lets users ask for a dinner reservation, concert ticket, or wellness appointment.

Plus, it returns real-time options pulled from across the web, without needing to download an app or fill out a form.

The feature is already live for U.S. users in Search Labs, with even more access for Google Pro and Ultra subscribers.

Editor's Note: This is a sponsored article created in partnership with Empat.

This is a big change for SaaS teams.

Why? If AI can’t trigger your service or finish the job, there’s a real chance it won’t show up at all.

According to Empat, a software firm that specializes in AI and UX, products now need to work, whether a user sees them or not.

“We’re designing for a future where the user never touches your UI,” says Nazar Gulyk, Founder and CEO at Empat.

“You’re building for the AI, not just the person behind the screen.”

So what does that mean as we head into 2026? SaaS teams will only keep up if they ready their systems to work with AI, not just people.

Search Is Becoming the Transaction Layer

Agentic AI, like Google’s new AI Mode, is changing how people behave online.

“For years, search functions acted as a starting point to discover tools, services, and platforms where actions were completed elsewhere,” says Gulyk.

Now, with Google AI Mode, agentic booking flips that model, letting users complete a task right inside the search experience, without needing to go anywhere else.

This direction reflects a broader industry shift where enterprise software will continue to embed task-specific AI agents, signaling a move toward autonomous execution as a standard capability.

But as the same McKinsey report cited earlier shows, many companies are still behind the curve:

• 62% are experimenting with AI agents
• 23% are scaling them in parts of the business
• Fewer than 10% have scaled agents within any single function

As search functions evolve into an actionable layer, products that cannot integrate into AI-driven flows risk losing visibility at the moment decisions are made.

APIs and Infrastructure Move to the Forefront

Agentic experiences rely on structure, and behind every seamless booking lies a network of APIs that manage availability, pricing, authentication, and confirmation in real time.

Behind every agentic flow Google surfaces, there’s an API doing the heavy lifting.

“As AI systems take on more responsibility, backend reliability becomes just as critical as front-end design,” says Gulyk.

To remain relevant, SaaS platforms must prioritize:

• Well-documented APIs that expose booking, scheduling, and transactional logic
• Real-time data access to ensure accuracy across AI-driven requests
• Authentication flows designed for mediated interactions
• Event-driven updates that keep systems synchronized

As autonomous systems increasingly handle operational decisions, products without machine-readable foundations will struggle to participate in AI-led journeys.

User Flows Are No Longer Fully Controlled

Traditional UX design assumes that users will move step-by-step through a product’s interface.

Agentic AI challenges that assumption, where, instead of navigating screens, users express intent, and the AI determines how that is fulfilled.

“Within AI Mode, context is interpreted, compatible services are identified, and users are guided directly to completion,” says Gulyk.

“While the product still delivers the service, it no longer owns the path.”

This requires teams to rethink experience design around:

• Headless architectures that separate logic from presentation
• Modular workflows that can be triggered externally
• Flexible execution paths rather than fixed funnels

In this model, success depends less on how users move through your product and more on how easily your product can be invoked.

Integrations Become a Requirement for Visibility

To ensure that users act, systems must make use of clean data, real-time availability, and reliable execution.

This is particularly important given that consumers are becoming increasingly comfortable with AI assistants, with Gallup suggesting that of those who use AI, more than 60% make use of AI agents.

As consumers grow more comfortable with completing tasks through AI assistants rather than traditional websites, being AI-ready will determine whether a service is considered at all.

What 2026 Will Demand From SaaS

As Google continues expanding agentic capabilities across search, SaaS and mobile teams must prepare for a future where AI orchestrates much of the customer journey.

Over the coming years, more transactions will occur within AI surfaces, backend systems will shoulder greater responsibility, and intent-based execution will increasingly replace interface-led navigation.

“The products that succeed will be those built to operate wherever the user, or the AI acting for them, initiates the action,” says Gulyk

“Those that don’t may find themselves bypassed entirely, not because they lack value, but because they aren’t accessible in the moments that matter most.”

That’s the new visibility test, and most products aren’t ready for it yet.