Discover how DHL Group increased connectivity across the enterprise and automated multiple processes end-to-end
Leaders everywhere are being asked to adopt AI, with goals of efficiency, productivity, insight and competitive advantage. According to PwC’s 2023 Emerging Technology Survey, 73% of US companies are already using AI. But some have their reservations about adopting the technology, and others simply don’t know where to start with it.
There are some clear challenges in adopting AI in a business environment, and solutions are only now beginning to emerge.
"Like any technology, AI alone cannot deliver meaningful transformation. Leaders know that real change will only occur if the environment supports it. The problem is that today there is just as much fear and uncertainty around AI as there is excitement," says Bizagi CEO, Gustavo Gomez.
"It would be naïve to suggest that none of that fear is well-founded. There are security measures that must be addressed, and the simple fact is that jobs will be lost to AI. But other jobs will grow, and AI will help people to get more done and do less mundane work. Erik Brynjolfsson looked at an AI-powered call centre and found out that average productivity improved by 14% very quickly, and productivity went up by 34% for the newest and the least-skilled workers."
Some of the challenges facing AI adoption in business include:
Skills and knowledge gaps
Businesses often face a shortage of the expertise needed to develop, implement and maintain AI technologies effectively. To bridge these gaps, organizations need to focus on upskilling their teams and invest in training programs that provide them with the skills required to leverage these technologies successfully.
Identifying feasible use cases
Pinpointing practical and impactful AI use cases requires thorough analysis of business processes to identify opportunities where AI technology can enhance operations. Engaging stakeholders across departments helps ensure that AI initiatives align with organizational goals and deliver measurable value.
Implementation cost
Implementing AI involves significant outlays. There’s the initial investment in hardware and software, data collection and cleaning and training costs, plus once implemented there are maintenance costs that need to be considered. Incorporating AI into areas where it can quickly deliver value supports the thinking that it warrants the initial costs.
Incorporating into existing initiatives
Integrating AI into existing business initiatives has the potential to disrupt current processes and workflows if teams fail to ensure compatibility with legacy systems and existing technologies. Businesses can mitigate this by assessing compatibility and developing comprehensive integration strategies.
Data access and quality
The inability to access necessary data and poor data quality can lead to gaps that impact the accuracy of the outcomes. Therefore, it is vital that AI tools have access to comprehensive, accurate, and relevant datasets that are well maintained for optimum performance and reliability.
Data security and privacy
AI has access to a vast amount of data and therefore requires robust security measures to make sure it is managed correctly and protected from breaches. Businesses must secure data using encryption and access controls, and ensure that data handling practices comply with data privacy requirements.
Resistance to change
AI does pose a threat to some jobs and therefore it is likely to be met with some resistance by employees who fear they could be replaced. To address these concerns, business leaders need to communicate that AI is intended to enhance the employee experience rather than replace the human workforce and involve them in its implementation.
Bizagi is helping organizations to overcome many of these challenges and unlock the power of AI. Automation is a natural partner of AI and Bizagi has existing capabilities that help solve many of the challenges discussed here.
Making it easy to adopt AI in a secure way
- Incorporate AI with the Bizagi PaaS for easy adoption
- Advanced governance applied at multiple levels
- Provide enterprise-class AI security and privacy
Focusing on delivering business results with AI
- Achieve higher ROI with automation projects focused on business productivity
- Purposefully apply AI for IT for most business impact
- Enable business transformation & modernization
Providing AI-driven end-to-end automation
- Usher in the next generation of automation with AI Agents
- Provide full visibility across processes, apps & AI
- Orchestrate AI assets with your people, processes, & data
Discover more about how Bizagi can help you incorporate AI into your business operations on our solutions page.
