Collaboration platforms have become a central part of workplace communications. Microsoft Teams alone has more than 320 million monthly active users worldwide, while the broader category has helped drive changes in how organizations use voice services.
Their appeal is largely based on ease of deployment, familiar interfaces and integration within established supplier environments. These advantages can reduce the learning curve for employees and simplify procurement for IT teams.
However, a platform that works well for everyday internal calls may become restrictive as a business expands, changes its customer service model or needs to connect communications with other systems. Limitations may only become visible when organizations begin supporting new teams, locations or more specialized processes.
Internal calls are relatively simple because employees generally know who they need to contact and how to reach them. Customer-facing communications can require more complex routing, such as directing calls according to a customer's location or the nature of an inquiry. Employees may also need immediate access to customer information stored in a CRM system, another business application or a bespoke platform.
The quality of these integrations directly affects the user and customer experience. If employees have to switch between applications or search manually for information, customers may be asked to repeat details, increasing the length and frustration of interactions. Organizations may also lack the detailed call information needed to identify problems or improve service.
Manual workarounds and separate connectors can help bridge these gaps, but they may make the communications environment harder for IT teams to manage consistently as requirements change. These weaknesses become more significant as businesses look to use artificial intelligence for a larger share of customer interactions.
AI assistants need access to the same relevant customer information available to human employees if they are to handle inquiries effectively. When an automated interaction cannot resolve a request, it must also be transferred to the appropriate person without losing the conversation's context.
A disconnect between collaboration tools, communications systems and core business applications can therefore limit what an AI assistant is able to do. Without access to the right information, AI may add friction for both customers and employees rather than removing it.
The article argues that businesses should be able to keep the collaboration tools employees already know while adding the communications and integration capabilities required for more advanced workflows. Seamless interaction between users, AI services and customer or operational data should be treated as a core requirement.
Organizations planning to expand their use of AI should assess whether their current communications infrastructure can support these connections. Although systems can be retrofitted to address functionality gaps, building flexibility into the foundation can reduce reliance on manual workarounds as customer interactions and business requirements grow.
Sources: TechRadar.