Navigate agentic AI adoption with confidence
By 10Pearls editorial team
A global team of technologists, strategists, and creatives dedicated to delivering the forefront of innovation. Stay informed with our latest updates and trends in advanced technology, healthcare, fintech, and beyond. Discover insightful perspectives that shape the future of industries worldwide.
Understanding Agentic AI Adoption - Impact, Challenges & Insights
Agentic AI is an advanced AI system capable of autonomous thinking, decision-making, and problem-solving. It achieves this by combining various forms of AI, such as natural language processing (NLP), machine learning (ML), and automation tools. These agents are capable of data analysis, goal setting, and task execution without human intervention, independently learning and improving their problem-solving and decision-making skills with every interaction.
Blog contents
As a digital partner supporting businesses with AI adoption, 10Pearls has witnessed how emerging technologies drive efficiency and innovation. In this article, we will dive into the transformative power of agentic AI, real-world applications, and how businesses can overcome challenges in adopting it.
The business impact of agentic AI
Enhanced efficiency
Agentic AI reduces human involvement by automating decision making and operations. This improves workflow and frees businesses up to take on tasks that previously required extensive manual oversight. With AI-driven agents capable of analyzing vast datasets, identifying patterns, and making real-time decisions, companies can optimize resource allocation, improve risk management, and enhance customer experiences.
This impact naturally translates to financial gains. McKinsey estimates AI could boost corporate profits by $4.4 trillion a year. AI is driving this increase by automating repetitive tasks, optimizing supply chains, improving predictive analytics, and supporting smarter business strategies.
Cost reduction & resource optimization
Another benefit of eliminating repetitive and labor-intensive tasks is cost reduction. AI-driven automation reduces operational expenses and helps companies reallocate their resources toward higher-value, strategic initiatives that drive innovation and business growth. By automating redundant tasks, organizations can reduce their reliance on manual effort, lower error rates, and improve overall efficiencies, which leads to direct financial savings.
Another area where agentic AI brings significant cost benefits is resource optimization. For instance, in supply chain management, agentic AI might suggest better workflows by analyzing traffic patterns, resource costs, and delivery timelines. Companies leveraging AI for logistics and warehouse management have reported significant reductions in inventory errors, waste, storage costs, and distribution expenses.
Better customer experience
With agentic AI’s ability to learn more and more about its customers with every interaction, it is a great tool for personalizing user experiences. Unlike traditional rule-based systems, agentic AI adapts dynamically, refining its understanding of individual customer preferences, behaviors, and needs over time. This allows businesses to deliver unique and individualized experiences to every user, ultimately driving customer engagement and loyalty. Companies integrating agentic AI into their customer service workflows have seen tangible benefits, including improved Net Promoter Scores (NPS), increased retention rates, and higher sales conversions.
How industries are leveraging agentic AI
Industry leaders have already begun harnessing agentic AI’s intelligent autonomy to drive efficiency, enhance decision-making, and deliver more engaging user experiences. Let’s explore some examples.
“Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years.”
Andrew Ng, Computer Science & Technology Entrepreneur
Healthcare advancements with agentic AI
Agentic AI is addressing unique challenges within the healthcare sector, providing scalable, personalized, and efficient solutions that can adapt to the needs of patients and healthcare providers.
10Pearls partnered with a national caregiver support organization to develop a custom agentic AI system designed to support family caregivers looking after loved ones. The system offered multilingual support, sentiment analysis, and a sophisticated knowledge management system for easier healthcare navigation. This autonomous agent can retrieve unique medical records and relevant resources using machine learning (ML) and advanced AI algorithms, creating a supportive experience for caregivers.
Advanced sentiment analysis allowed the AI agent to adjust its responses based on the user’s tone, brevity, and grammar, offering concise answers for short, urgent queries and detailed responses for longer, descriptive inquiries.
Streamlining operations in manufacturing
The rise of agentic AI is allowing factories to operate with minimal human intervention, making real-time decisions by analyzing supply chain forecasts, demand shifts, and optimal equipment performance. Traditionally, production planning required a lot of manual input from managers. Now, agentic AI uses historical data and forecasts to automatically adjust and optimize production schedules in real time. By utilizing AI-driven models and ML, BMW has optimized its global supply chain, making dynamic adjustments to production lines to prevent bottlenecks. With real-time data, agentic AI systems are able to reschedule production in the event of any sourcing delays, allowing manufacturers to focus on other priority operations and reallocate time and resources.
Agentic AI in financial forecasting
Agentic AI is transforming the financial sector and enabling banks, investment firms, and financial analysists to make smarter, more data-driven decisions. Financial professionals navigate a complex financial landscape daily, and the emergence of an AI-driven virtual assistant offers many transformative advantages.
10Pearls developed an agentic AI-powered smart assistant, called MyCFO, to help finance professionals optimize and automate day-to-day operations. Using advanced agentic AI and large language models (LLMs), MyCFO delivered data-driven insights, recommendations, and task assistance through a user-friendly virtual assistant. MyCFO presents agentic AI through a much more intuitive user experience, offering unparalleled support in turning complex financial data into straightforward, actionable insights.
Common challenges of adopting agentic AI
While many companies have had success with agentic AI implementation, it is still a relatively new technology with important challenges to keep in mind during adoption.
Lack of expertise
Technological advancements are outpacing the availability of skilled professionals. Many organizations struggle to find developers and engineers that have the expertise to effectively build and train agentic AI models. With no internal talent, companies risk wasted investments and AI initiatives that do not deliver business value.
Insight: Outsourcing AI development or investing in upskilling programs can help bridge the expertise gap, but these solutions require time and strategic planning.
Integration complexity
Aligning agentic AI with your existing data pipelines and IT infrastructure requires a well-planned strategy. Without it, businesses risk operational disruptions or even failed deployment. Businesses must ensure that AI agents can interact with existing systems and follow security protocols. Without a solid integration plan, AI initiatives can lead to data silos, workflow inefficiencies, and even operational downtime.
Insight: Take a phased approach. Start with pilot programs and gradually scale AI adoption across the organization to limit integration risks.
Ethical & security concerns
Reliable AI governance and security is critical. Without the proper guardrails and filters, your agentic AI models can become targets for adversarial attacks or data breaches. One major challenge with training AI models is bias. AI systems trained on biased data will produce biased outputs that lead to unfair or skewed decision-making. For this reason, ensuring fairness, transparency, and accountability in AI training is crucial. Organizations must take proactive steps to identify, mitigate, and prevent bias in their AI models.
Insight: Adopt a proactive governance approach that integrates bias detection, ethical AI frameworks, and robust security protocols.
Scalability issues
Adopting AI that can grow and adapt with business demands is essential for long-term success. However, many businesses struggle with this because AI scalability is often hindered by computational resource limitations, lack of high-quality training data, or infrastructure bottlenecks. As AI agents become more complex, they require continuous learning, monitoring, and optimization to remain effective in evolving business environments.
Insight: Investing in cloud-based AI infrastructure will result in more efficient model management and automation, ensuring that AI initiatives can grow in alignment with business needs.
How 10Pearls helps businesses with AI adoption
There are multiple strategies that we implement to help businesses navigate AI adoption and digital transformation. One of the first and most important methods is our AI assessment, which evaluates an organization’s AI maturity and outlines the steps you need to take for successful AI adoption and implementation, eliminating any potential risks and losses that come with rushing into AI implementation.
In addition to a comprehensive assessment, we offer an expansive team of experts that are experienced on the latest emerging technologies. This enables our teams to make data-driven decisions on how to integrate these technologies with your existing tech infrastructure to reduce investment risk or disruption of operations.
10Pearls as your custom AI partner
Leveraging our expertise in digital transformation, we offer end-to-end software development services to help businesses adopt agentic AI as well as other advanced technologies. Our teams streamline software development, ensuring your AI initiatives are executed with efficiency and precision. From strategy to implementation, we help businesses achieve seamless digital transformation, while driving real business value every step of the way.
Contact us to explore how agentic AI can drive your success.
Empower your business with artificial intelligence
Cut through hype - future-proof your business with AI
Related articles
