GUIDE
Build human-AI teams to elevate enterprise collaboration
- The strategic alliance of human-AI teams will reshape the knowledge economy, turning AI from job competitors into collaborators, and set the stage for a new era of enriched human potential and ingenuity in the workplace.
The shift from job competitor to collaborator
Robots haven’t taken over the world… yet. We’re not in a movie scene from The Terminator or The Matrix, but it’s undeniable that AI-related technologies are advancing rapidly around us. It’s easy to be afraid and anxious that machines will take our jobs, but there’s another way to think about AI.
If we shift our perspective on AI from being a replacement for human jobs to AI as a collaborative partner, it opens a new realm of possibility with Generative AI tools. Where AI technologies work alongside us, enhancing our skills and contributing to our goals rather than diminishing them.
Popular Generative AI tools like ChatGPT and Midjourney are proving to be effective and down-right impressive at executing their trained capabilities. Yet the average enterprise company is struggling to find valuable use cases for humans to take advantage of these amazing tools.
AI tools need to be specialized to be effective for the enterprise. And learning models should be diligently trained on curated datasets and deployed with appropriate enterprise guardrails. In their current state, generalized AI tools are like hammers looking for nails, so how does the modern enterprise get the most out of AI tools?
Microsoft Co-Pilot holds a lot of promise for enterprise knowledge management. Has it delivered on that promise for you?
Elevating the human role in the knowledge economy
In the late 1960s, Management Consultant Peter Drucker wrote The Age of Discontinuity: Guidelines to Our Changing Society. In it, he hypothesized a major shift in the nature of work due to a decreasing need for manual labor (the “manual worker”) and a rise in demand for expertise (the “knowledge worker”). Even 55+ years ago, Drucker recognized the shifting value proposition of human work.
Robotics has reduced and eliminated humans from manufacturing, and digital automation has reduced and eliminated humans from business processes. Technological innovation has changed the range of tasks where humans are valuable, moving us closer to what we do well that machines cannot (or should not), from tasks with low cognitive demand to those with high cognitive demand.
As physical and digital automation saturates tasks requiring low cognitive demand, humans are left to perform tasks requiring higher levels of training and experience, where complex decision-making, creativity, emotional intelligence, and ethical/moral sensitivity are most valuable.
Tasks such as - healthcare professionals providing personalized patient care, legal experts navigating nuanced arguments in dynamic legal landscapes, and educators crafting individualized learning experiences. The intricacies of human interaction, empathy, and moral judgment are critical in these fields.
The role of AI as a real-time partner
Enterprises can cultivate inherently human skills within their teams, ensuring that employee contributions are not only technically proficient but also creatively inspired and ethically sound. We are entering an era of human history in which the need for rapid learning has never been more important. Enterprises need to consider how to effectively train knowledge workers at scale to operate at the higher end of the cognitive spectrum and ensure that their output meets enterprise needs.
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Imagine a specialized AI, per job function, that holds all the knowledge and experience of the industry and enterprise for a particular role. AI becomes a persistent, role-based, living knowledge management tool. Employees now have a companion to solicit real-time feedback, coaching, and research. They can interact in real-time, any time of the day or night (something not currently practical with Human team members). The AI team member isn’t going to ask for a raise or quit and will act according to the standards and culture of the company.
With Human-AI teams, humans are still in the driver’s seat, but our rate of learning and the quality of our outputs will be elevated and accelerated. Additionally, the Enterprise can bake in role-appropriate guardrails, stage gates, and controls that ensure quality, safety, and security for its employees, partners, and customers.
An AI team member could accelerate learning and improve outputs across industries and use cases - performance reviews, advertising content, legal arguments, company culture, research papers, case studies, and corporate training programs; the potential is endless.
Steps to build effective human-AI teams
So, where do you start to create an AI team member?
There isn’t a single, fool-proof answer out there today that factors in the uniqueness of the industry, the enterprise, and specific job functions; that’s where a partner like Pariveda can help you navigate the complexity and get to value fast.
Pariveda specializes in applying exceptional talent and a partnership approach to help solve our clients’ most complex problems. Pariveda’s approach to implementing solutions is deeply rooted in custom-fit strategies, as we recognize that a “one size fits all” solution isn’t always the right answer. We have AI experience in industries such as manufacturing and retail, where we’ve used machine learning to enhance manufacturing efficiency and employed predictive models to anticipate market demand.
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