”Today’s AI is about new ways of connecting people to computers, people to knowledge, people to the physical world, and people to people.” – Patrick Winston
The advent of Artificial Intelligence has transformed the way businesses around the world are carrying out their operations. Companies which have fostered a culture of change and innovation have enhanced their corporate earnings and profitability through digital outreach that impacts their clientele. In order to competitive advantage, businesses need to reinvent themselves and be prepared to change their traditional mindset of treating AI as yet another plug and play technology through organizational transformation. Let’s look at some ways how this can be achieved by building a four layer framework.
The first layer in this multi pronged approach starts with having the right vision and the intent to achieve the desired organizational goals. Companies need to broaden their vision and look beyond the financial metrics for institutionalizing human centricity complemented by super human intelligence through Artificial Intelligence. Human centered Artificial Intelligence would help businesses overcome their challenges through strategic solutions and problem solving. AI is not going to replace humans but on the contrary leverage on human expertise and experience to achieve sustainable business growth and efficiency. Businesses need to achieve scalable business models by future proofing themselves through digitization and automation.
The second layer in achieving transformation through AI is through integration. Businesses need to bring about structural changes in the way they operate. Leadership team needs to review their organizational hierarchies and make concerted efforts to transition towards flatter structures that can help in vertical and horizontal integration of the workforce. Silos needs to be broken for drawing on the capabilities of different units within the organization. This would help in free flow of ideas and exchange of information resulting in unlocking hidden human potential and creativity. Build cross functional teams that consist of talented individuals who can brainstorm and provide innovative solutions for building customer centric products and adding value to the digital enterprise.
Next comes the Implementation phase. Implementation of AI poses multiple challenges like trust deficit, communication and behavioral issues. In order to overcome these challenges, think tanks of the organization need to connect with their employees on a regular basis to allay any fears of job loss due to implementation of AI. The leadership team needs to reinforce their faith in AI by helping their team members understand the vision and positive influences of this change. Site visits can be arranged to other companies who have implemented AI to quantify its benefits. Businesses can also look at running pilot projects in their operations that would help in socializing this change across different sections of their workforce for gaining acceptance and shedding any unconscious bias.
The final layer is Indication. Traditional productivity measures need to be flexed for building aspirational metrics. For tracking and measuring the performance of AI, businesses need to leverage on specific metrics like Key Performance Indicators like OKRs. The objective of the Objectives and Key Results (OKR) framework is to set transparent goals which are specific and measurable. OKR encourages team members to align themselves to their organizational goals. Leadership team needs to empower and motivate their teams to maximize their performance by incentivizing innovation and recognizing their efforts. This would bring about a culture of acknowledgement that would result in delivering high quality performance and superior business outcomes.
We at Newlineinfo Corp have a highly engaged team committed to deliver scalable business solutions to our clients by harnessing the power of AI in the digital ecosystem.