In today’s business landscape, the hype around GenAI continues to reach new heights, driving companies to pour billions into AI-driven initiatives. Yet many organizations find themselves grappling with data issues, complex technology environments, and silos making it difficult to leverage AI in a holistic way. This often leads to making hefty investments in digital transformation that yield minimal returns.
CEOs and board members, captivated by the allure of GenAI’s seemingly unlimited capabilities, often envision it as a turnkey solution that operates on autopilot. Our experience working with numerous clients reveals that achieving effectiveness with GenAI requires that the business take the ownership with a holistic approach coupled with operations rigor, data quality, and collaboration across all stakeholders.
Overcoming Data Challenges to Unlock GenAI’s Potential
Numerous challenges obstruct the path to AI success such as complex processes, disparate tech tools, a lack of an enterprise-wide approach to data management characterized by scattered repositories and data sources, an absence of Master Data Management (MDM) practices, and silos. The lack of holistic data management undermines businesses’ ability to harness insights from their data, impeding informed decision-making and limiting innovation. According to a Databricks CIO Survey, 72% of business leaders said that data problems were more likely than other factors to jeopardize their achievement of AI goals.
Despite these challenges there is opportunity to create value through GenAI and propel companies to a new level of success. However, unlocking this value necessitates a back-to-basics approach, steering businesses away from complex silos and legacy environments towards a business-facing model anchored in the latest cloud technologies. This involves implementing a structured, step-by-step strategy supported by a Digital Business Methodology (DBM) and facilitated by a fully automated, cloud based Digital Business Platform (DBP) tailored to the client’s needs.
In practice, getting value from GenAI means avoiding a big bang approach and working within but away from existing complex environments and silos. Central to this approach is the importance of understanding each client’s business specific needs and technology environment—a cornerstone of our DBM.By consolidating disparate data sources and business operations into an enterprise wide cloud-based ecosystem, we empower businesses with the agility and culture to discern insights from data, fostering innovation and growth while avoiding the burden of technical debt.
Implementing a Holistic, Incremental Approach for AI Success
Start with the best suited use cases and streamlined operational processes. This approach enhances data quality, facilitates integration of business intuition, and is achieved through fully automated processes, end-to-end intelligent interfaces and real-time interactions. This paradigm shift not only reduces the complexities inherent in traditional workflow tools it eliminates inefficiency of Excel spreadsheets, email, paper, etc.
Additionally, leverage GenAI with appropriate large language models (LLMs) and algorithms to support business intuition based on data quality and their maturity to facilitate and align outcomes. The infrastructure supporting cloud platforms must meet a high standard of engineering rigor to mitigate risks and contain costs—a task that demands both expertise and experience. Infrastructure companies are expensive and take a more risky, boil the ocean approach. Drawing upon our real-world experience and proven methodology we have the proficiency to deliver consistent, scalable outcomes, addressing our clients’ concerns regardless of maturity level.
We have proven track record of success across multiple industries—ranging from financial services to pharmaceuticals and manufacturing—underscores the efficacy of this holistic incremental approach that has delivered higher productivity and real-world outcomes. Moreover, empowering businesses to take ownership and actively engage in the process not only fosters high-quality outcomes and innovation but also ensures compliance, security, and the creation of assets—be it data, products, or AI. This brings greater consistency, scale and speed within an agile, collaborative digital culture.
In a recent customer meeting it was clear that they needed a comprehensive approach and overhaul of Salesforce operations to produce stronger sales and marketing operations. Key pain points centered on a gap between business needs and solutions, addressing technical debt, inadequate testing processes, complex territory management, external vendor performance and dependency, subpar development talent and resistance to change. The solution called for the business to take ownership and prioritize its focus on low hanging fruit for quick wins. This was done with operations rigor, data quality crucial to understand AI models and use cases, and prompt engineering with Copilot.
In today’s business world, GenAI presents an opportunity to transcend the hype, but leveraging its potential requires overcoming challenges like data issues and silos. By embracing a simplified, back-to basics approach and prioritizing operational efficiency and data quality, businesses can unlock GenAI’s value. Our proven track record across multiple industries underscores the efficacy of our holistic DBM incremental approach, which empowers businesses to take ownership of their AI journey to drive unlimited outcomes and innovation within an agile, collaborative digital culture.
