Instead of each employee using their own separate AI, the more effective model is a central, multiplayer AI that acts as a shared 'company brain' or teammate. This approach, which Motion is building with its 'Runneth' agent, prevents duplicated efforts and builds a shared company-wide context.

As companies deploy numerous task-specific AI agents (e.g., payroll, payments), the user experience risks fragmentation. Xero's solution is a 'super agent' that manages all sub-agents, orchestrating actions, transferring information, and applying user preferences globally to create a cohesive system.

The common narrative of needing hundreds of specialized AI agents is wrong. Instead, agents are collapsing into fewer, more powerful "monorepo" systems that share a common body of knowledge, leading to deeper capabilities.

Deploying AI agents in isolated business functions is a missed opportunity. True enterprise value is unlocked when agents share context (e.g., between sales and maintenance), enabling optimization across the entire organization, not just within a silo.

The "all-in-one" SaaS pitch is making a comeback because AI agents thrive on comprehensive context. Fragmented point solutions starve AI models of the necessary data to perform at a high level. Therefore, building a single platform that holds all the context is now a critical competitive advantage, not just a convenience.

As AI-driven agents create a seamless customer journey, the traditional handoff from marketing to sales will become obsolete. These functions will merge into a single, unified organization focused on shared outcomes, eliminating departmental friction and silos.

A year ago, the best strategy was using distinct, specialized agents for different sales tasks (e.g., cold outbound vs. reviving ghosted leads). As AI models have improved, it's now more effective to consolidate these functions into a single, more capable agent that can handle multiple tasks.

The next major evolution beyond solving individual use cases (like content or pricing) with discrete AI agents is orchestration. The true unlock will be linking these agents to work together as an autonomous team, passing insights and tasks between them to manage the end-to-end e-commerce process.

The biggest AI opportunity for large companies is breaking down data silos. By building a 'context graph,' you give AI agents access to information from different departments and systems. This enables agents to perform cross-functional tasks and surface insights that were previously impossible.