How Copilots Enabled by GenAI Are Changing Work

How Copilots Enabled by GenAI Are Changing Work

GenAI copilots are revolutionising the workplace across industries and functions by enhancing efficiency, re-imagining business processes and fuelling unprecedented innovation. Companies across different industries are leveraging GenAI, augmented with agentic workflows, to transform their existing ways of working and are seeing results across these three dimensions with potentially increasing degrees of impact.

GenAI copilots are adept at handling mundane and repetitive tasks, which allows employees to focus on more strategic and creative aspects of their jobs, resulting in enhancing efficiency even without any significant changes in business processes or disruptive innovations. For example, in software development, GitHub Copilot suggests code snippets and entire functions, enabling developers to write code more efficiently and with fewer errors. This not only speeds up the development process but also allows developers to allocate more time to complex problem-solving tasks while reducing the inefficiencies of context switching.

Business processes can be re-imagined with AI for better decision-making and collaboration across the organisation. AI can analyse vast amounts of data to identify trends, predict outcomes and recommend actions. AI copilots can facilitate cross-functional collaboration if these trends, outcomes and actions are accessible across the organisation via a unified platform. For instance, in customer service, AI copilots can predict the types of calls and parts needed for home servicing, streamlining the dispatch process and enabling collaboration between field service agents and an AI-based agent or with remotely located experts.

The innovative power of GenAI can be truly disruptive in sectors where AI is enabling solutions to problems that have hitherto been intractable. In healthcare, AI copilots can facilitate access to critical healthcare services for communities that remain underserved and enable an ageing population in many parts of the world to live a productive and fulfilling life. In the legal profession, copilots are democratising access to legal assistance and unlocking new avenues for legal analysis and innovation. Legal firms are now able to process vast amounts of data at unprecedented speeds, allowing lawyers to focus on helping clients.

GenAI and Healthcare

The healthcare industry has perhaps one of the highest potentials for gains in efficiency, collaboration and innovation using GenAI copilots.

Enhancing Efficiency

A prime example of enhancing efficiency is the application of GenAI in patient–clinician interactions. GenAI technology, for example, can convert patient–doctor interactions into clinician notes in real time. Here’s how it works: a clinician records a patient’s visit using the AI platform’s mobile app. The platform adds the patient’s information in real time, identifying any gaps and prompting the clinician to fill them in, effectively turning the dictation into a structured note with conversational language. This process significantly reduces the manual and time-consuming note-taking and administrative work that a clinician must complete for every patient interaction, enhancing operational efficiency and addressing challenges of workforce burnout and staffing shortages in the healthcare industry.

Re-imagining Business Processes

The application of GenAI in patient–clinician interactions also has significant implications for healthcare processes and, ultimately, the quality of patient care. The potential for breakthrough comes from the wealth of unstructured data such as clinical notes, diagnostic images, medical charts and recordings available to a clinician in seconds. The impact could be in the form of comprehensive suggestions to a clinician or by redefining how healthcare professionals work and collaborate. For example, AI-powered platforms can facilitate communication and information sharing among healthcare providers anywhere in the world, re-imagining business processes in healthcare and ensuring a unified approach to patient care.

Fuelling Innovation

GenAI augmented with agentic workflows is driving a paradigm shift in drug discovery, offering a new approach to the creation of novel molecular structures and drug candidates. A specific example of this innovation is IBM’s Accelerated Discovery1 initiative that leverages GenAI combined with agentic workflows to significantly compress the timeline and cost of developing new drugs.

The AI system uses vast datasets representing the structure of molecules to make predictions of new molecular designs based on specific requirements. This process, akin to reverse engineering, generates novel hypotheses for exploration and creates new molecules that domain experts may not have come up with on their own, potentially unlocking billions of dollars in value.

GenAI and Manufacturing

The manufacturing industry is witnessing significant advancements across various facets of the industry, driven by GenAI copilots.

Enhancing Efficiency

GenAI is transforming the manufacturing sector, offering efficiency and productivity gains. A notable example of this is in predictive maintenance. Predictive maintenance is about identifying and rectifying potential equipment failures before they occur. GenAI can help by interpreting telemetry from equipment and machines and, if a problem is identified, by recommending potential solutions and a service plan to help maintenance teams rectify the issue. This can reduce potential downtime and realise cost savings by streamlining production lines.