The Future of Business Communication: AI, Multimodality, and Beyond

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The Future of Business Communication: AI, Multimodality, and Beyond
AIBusiness CommunicationMultimodal Communication
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This article explores key trends shaping the future of business communication, focusing on the increasing role of artificial intelligence (AI), the shift towards multimodal communication, and the adoption of cloud-based communication services. It analyzes the impact of these trends on customer engagement, employee collaboration, and overall business efficiency.

This time of year is synonymous with plans and resolutions to improve and grow, both personally and professionally. It’s a time when business leaders try to stay ahead of the curve by pre-empting trends so that they make informed decisions with strategies to improve their competitiveness and enjoy more success.

Of course, the world is undergoing rapid transformation where businesses are forced to find innovative and successful ways of collaborating and communicating with their increasingly digitally savvy customers, who have more choice than ever before. We have the benefit of the rise in intelligent agents to make our lives more effective and easier, whereby we give the AI agents objectives, or prompts, to achieve, which – if done at scale effectively – could change the environment in which we work and improve the bottom line. With this in mind, it is worthwhile noting the key trends that will be driving business communication in 2025 and beyond, so that businesses can adapt and thrive in this dynamic landscape. A recent McKinsey survey created a useful snapshot of the rise of artificial intelligence (AI). Steering clear of overhyping AI, it is helpful to appreciate that there has been significant adoption globally in the past year, from about 50% uptake previously to 72% in 2024. The highest adoption rate is seen in the professional services sector, and the functions that are seeing the most value from AI adoption are marketing and sales, and product and service development. Businesses are now spending 6% of their digital budgets on AI initiatives. Yet across functions, only two use cases, both within marketing and sales, are reported by 15% or more of respondents. Organisations are still early in the journey of pursuing its opportunities and scaling it across functions and only 5% of respondents could attribute an increase in EBIT due to the implementation of generative AI.tools. Looking ahead, the leaders across industries will rely on both off-the-shelf solutions and tools that are adapted and shaped specifically to their unique needs. We are entering an age where winning organisations build ecosystems that blend proprietary, off-the-shelf and open source models. However, one of the main trends going forward is not just going to be the adoption of AI technologies, but governance around how it is deployed across organisations. Successful organisations will develop clear strategies and processes that protect them from inherent risks, while unlocking the technology’s power in enhancing and augmenting systems and human capabilities. This is the opposite of AI-washing, so to speak, and represents a pragmatic and strategic approach to leveraging technology. This means businesses will need to prioritise data privacy and ensure their use of AI aligns with regulations such as GDPR and POPIA. Ethical concerns around AI, including biases, transparency and accountability, need to become central to AI implementation.Artificial intelligence (AI) is playing an increasingly important role in driving customer and staff engagement by automating routine tasks and enhancing personalisation. Tools such as virtual assistants and chatbots enable businesses to handle inquiries more efficiently. They are being deployed not just for reactive customer service, but also for proactive engagement, where anticipating customer needs improves service speed and accuracy, all the while appreciating the functionality of seamlessly switching to human engagement for complex issues. In addition to this, natural language processing (NLP) and machine learning enable AI tools to better interpret and respond to customer conversational queries. Generative AI enables businesses to produce content at scale, which drives efficiency not only in customer engagement, but also in marketing and product or services design. Deploying the technology smartly frees up employees to focus on strategic tasks and decision-making.A marked increase in demand for cloud unified communications as a service (UCaaS) and contact centre as a service (CCaaS) is also expected. By engaging in these services, and by working with partners who are able to seamlessly integrate with other critical applications, such as CRM, ERP and project management systems, businesses will see a marked improvement in efficient workflow, customer and employee satisfaction and improved productivity.The shift away from voice-based to a multimodal communication ecosystem has been happening for a number of years and is expected to accelerate. Factors driving this include a distributed workforce and changing communication preferences of both employees and customers. Voice remains important, but 2025 will see more asynchronous and visual communication. E-mail, instant messaging, project management platforms and video conferencing are already replacing traditional voice calls and offering more options, as well as flexibility, for remote and hybrid teams.

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