The Hidden Potential of Generative AI – And How to Unlock It

Generative AI has surged to the forefront of modern technological innovation, capturing the attention of enterprises worldwide. This rapidly evolving field holds transformative potential, especially when strategically applied to unlock "trapped value" across diverse industry operations. As companies are massively increasing the adoption of AI, they are seeing its direct impact on efficiency, growth, and insights. The technology's value lies not in isolated applications but in the potential to systematically address and resolve deeply embedded operational challenges.

For EPC Group, North America's leading AI consulting practice , generative AI is not merely a technological tool—it's a strategic imperative. At EPC Group, we guide businesses through the complexities of generative AI, from selecting the appropriate models to deploying large-scale strategies that enable sustainable, data-driven decision-making.

By integrating AI into customer support, supply chain management, and other functions, organizations can unlock value traditionally trapped in legacy systems and outdated processes. However, achieving maximum ROI from generative AI requires a sophisticated, strategic approach—a field in which EPC Group excels.

How to Identify Potential AI Areas of Impact

For organizations looking to stay competitive, the first step in implementing generative AI is identifying where it can deliver the most value. This assessment is crucial, as the success of AI initiatives often depends on strategically targeting areas where AI's capabilities will produce measurable improvements. Here are vital methods EPC Group recommends for identifying these high-impact areas:

Evaluate Data-Rich Processes:

1. Begin by examining operations that generate substantial data, such as customer service, sales, supply chain, and logistics. Generative AI thrives in data-rich environments, so pinpointing areas with abundant data flow can help organizations realize AI's predictive and analytical power. Companies can uncover insights that improve efficiency, forecasting accuracy, and resource allocation by focusing on these processes.

Identify Bottlenecks and Inefficiencies:

1. Operational bottlenecks, whether due to manual processes or communication lags, create ideal scenarios for AI integration. Mapping out workflows and tracking where delays frequently occur reveals areas where AI can streamline tasks, optimize resource use, and reduce operational friction. For example, AI-powered automation can be especially effective in high-volume processes like claims processing, support ticketing, or inventory management.

Assess Customer Interaction Points:

1. Generative AI can have a transformative impact in industries where customer experience is central to success. Companies should analyze their customer journey to identify points where AI-driven personalization, such as tailored recommendations or intelligent chatbots, can enhance engagement and satisfaction. This approach is particularly effective in retail, hospitality, and banking, where timely, personalized interactions drive brand loyalty.

Consult Cross-Functional Teams:

1. Organizations should involve cross-functional teams from IT, operations, finance, and customer service to identify the most valuable areas for AI. These departments offer distinct perspectives on where AI might add value. By bringing together diverse insights, organizations can ensure a holistic approach to AI implementation, prioritizing areas with the highest potential for business impact.

By following these steps, companies can strategically identify potential AI areas of impact, setting the stage for successful deployment that yields tangible, lasting benefits. EPC Group helps clients navigate this initial assessment phase to create a clear, actionable AI roadmap aligned with their strategic goals.

Uncovering and Realizing Hidden Value with Generative AI

Generative AI's transformative power lies in its unmatched ability to identify, measure, and unleash "trapped value" within an organization. Trapped value is the unrealized potential embedded across complex workflows, siloed data, and longstanding inefficiencies. Many organizations encounter this phenomenon, where data-rich processes such as supply chain management, customer service, and resource allocation generate massive amounts of valuable information. Yet, without the right analytical tools, much of this data remains isolated and underutilized, constrained by legacy systems and outdated technologies.

The traditional approach to data utilization often limits visibility, leading to inefficiencies that compound over time. Generative AI changes this paradigm by offering a proactive, intelligent layer of analysis that transforms raw data into actionable insights in real-time. This shift enables organizations to identify inefficiencies and continually refine and enhance their processes as new data becomes available.

At EPC Group , we specialize in leveraging generative AI to help clients in finance, healthcare, and logistics tap into these reservoirs of hidden potential. By doing so, we allow them to optimize workflows, streamline decision-making, and ultimately elevate profitability in meaningful ways.

Uncovering Bottlenecks and Process Inefficiencies

Every organization encounters bottlenecks—unseen points of friction where workflows slow down or resources are misallocated. Generative AI excels at uncovering these bottlenecks, which may stem from procedural redundancy, lack of data transparency, or outdated manual processes. By applying machine learning models to historical data, generative AI maps out the areas where processes are prone to delays, inconsistencies, or errors. This level of insight offers a foundation for restructuring workflows, removing unnecessary steps, and ensuring that tasks progress smoothly from one phase to the next.

In supply chain management, for instance, generative AI can identify where inventory turnover lags, or unnecessary handoffs hinder logistics. By pinpointing these areas, organizations can make targeted adjustments that expedite delivery times, reduce costs, and enhance overall service quality. These changes help streamline operations and ensure that the data flows more freely between departments, reducing silos and fostering a culture of efficiency and transparency.

Revealing Cross-Functional Insights for Greater Alignment

Beyond process efficiency, generative AI opens the door to cross-functional insights that help teams work more cohesively. Data within an organization often exists in departmental silos, where finance, operations, marketing, and other functions manage their datasets independently. While this compartmentalization was once viewed as standard practice, it often limits an organization's ability to make informed, data-driven decisions. Generative AI's strength lies in its capacity to integrate data from disparate sources, breaking down silos and creating a more unified view of organizational health.

For instance, in financial services, generative AI can merge transaction data with customer behavioral insights to offer a more comprehensive risk profile. In healthcare, it might integrate patient records with treatment histories to provide a holistic understanding of patient care outcomes. By combining data streams across functions, generative AI helps organizations uncover valuable insights that were previously inaccessible. This integration enhances department alignment, allowing teams to make more cohesive and strategic decisions that drive long-term growth.

Predicting and Proactively Addressing Market and Operational Shifts

Generative AI is not only about historical analysis but also a forward-looking tool that predicts potential disruptions, whether they stem from market volatility, seasonal demand shifts, or supply chain complications. By continuously analyzing real-time data, generative AI models can adapt to shifting variables and offer predictive insights that enable businesses to respond proactively. This capability is particularly advantageous for industries that operate in dynamic environments, where external factors can rapidly influence operations.

For example, in logistics, generative AI can analyze external data sources such as weather forecasts, fuel prices, and geopolitical events to anticipate potential disruptions. With this information, logistics companies can adjust shipping routes, revise inventory allocations, or communicate delays proactively to stakeholders. Similarly, in finance, generative AI can track market fluctuations and emerging economic indicators, enabling firms to adjust their investment strategies before disruptions occur. This level of adaptability enhances operational resilience and empowers organizations to stay competitive in fast-paced markets.

Sector-Specific Applications: Finance, Healthcare, and Logistics

Generative AI offers industry-specific benefits that address each sector's unique challenges and opportunities. For instance, AI can analyze transaction flows across diverse markets to detect risks or anomalies in the finance industry, improving decision-making accuracy and speed. Generative AI-powered insights provide a more comprehensive understanding of market trends, helping firms mitigate risk while uncovering investment opportunities.

In healthcare, generative AI assesses patient care pathways, identifying procedural bottlenecks and recommending resource allocation adjustments to improve care delivery. By identifying where delays in patient treatment may occur, healthcare organizations can streamline their operations, reduce wait times, and improve outcomes. For logistics, generative AI models optimize route planning, warehousing, and inventory management, enabling firms to reduce operational costs, improve delivery timelines, and enhance service quality.

Building an Adaptive, AI-Powered Ecosystem

Implementing generative AI is not a one-time project—it requires creating an adaptive AI ecosystem that integrates with existing infrastructures and continues to evolve with changing business needs. At EPC Group, our approach goes beyond deploying algorithms. We build generative AI ecosystems tailored to each client's unique requirements, ensuring that value realization is a continuous, somewhat episodic process. These AI ecosystems are designed to learn and adapt over time, ensuring that insights remain relevant as market conditions shift, operational processes evolve, and new data becomes available.

This adaptability allows businesses to refine their workflows continuously and make data-driven adjustments on an ongoing basis. By building a resilient, future-ready AI-powered model, companies gain the flexibility to respond to change with agility, positioning them as proactive market leaders rather than reactive participants.

Transforming Data into Strategic Assets

At the core of generative AI's value proposition is its ability to transform raw data into strategic assets that inform crucial business decisions. Organizations can use generative AI to convert vast amounts of structured and unstructured data into meaningful insights that drive their strategic objectives. By doing so, companies improve operational efficiency, uncover new revenue streams, create innovative service offerings, and enhance customer experiences.

For example, an AI-driven approach to customer service could yield insights about consumer behavior, preferences, and purchasing patterns, allowing firms to tailor products or services accordingly. Similarly, manufacturing firms can leverage generative AI to analyze production line data, identify quality control issues, and improve output consistency. This data transformation into strategic insights enables organizations to gain a competitive advantage and foster sustainable growth.

Empowering Proactive Business Strategy and Sustainable Growth

The strategic impact of generative AI is profound. By unearthing and acting upon trapped value, businesses gain a competitive edge, optimize resource allocation, and foster sustainable growth. Generative AI enables organizations to visualize, understand, and refine their processes clearly, creating a robust, AI-empowered operational model supporting ongoing innovation. Rather than relying on periodic updates, AI-driven insights continuously adapt to an organization's changing needs, ensuring the delivery of consistent, long-term value.

In partnering with EPC Group, organizations receive more than just advanced AI capabilities—they benefit from a consultative approach that seamlessly integrates these capabilities into their existing frameworks. Our solutions empower clients to harness AI's full potential, fostering a culture of rapid improvement and adaptive intelligence that positions them to thrive in an increasingly complex digital economy.

Sector-Specific Benefits and Custom Solutions

Generative AI's potential cannot be confined to a one-size-fits-all approach. Each sector has unique challenges, regulatory requirements, and strategic objectives, and EPC Group specializes in crafting tailored AI solutions to meet these distinct needs. Our consultative approach ensures that generative AI applications integrate seamlessly into existing workflows and drive measurable improvements in efficiency, customer engagement, and financial performance.

Healthcare: Enhancing Patient Outcomes and Efficiency

In healthcare, where patient data security and regulatory compliance are paramount, generative AI is pivotal in optimizing clinical and administrative functions. AI-driven analytics enable providers to identify health risks, tailor treatments, and monitor patient progress in real time. Predictive analytics, for example, can flag patients at risk of chronic conditions, allowing early intervention and personalized treatment strategies.

Beyond clinical applications, generative AI enhances operational efficiency by optimizing scheduling, inventory management, and resource allocation, which reduces wait times and improves patient experiences. By automating routine administrative tasks, healthcare staff can focus more on direct patient care, improving patient satisfaction and treatment outcomes. EPC Group's solutions align with strict healthcare regulations, ensuring security and compliance in all AI deployments.

Finance: Streamlining Fraud Detection and Investment Strategies

In finance, where data precision, speed, and compliance are critical, generative AI enables advanced analytics for fraud detection, risk assessment, and investment management. Financial institutions process enormous volumes of transactional data daily, and generative AI sifts through these datasets to uncover anomalies, indicating potential fraud and allowing for real-time intervention.

AI-driven insights also enhance portfolio management, predicting market movements, assessing risk, and helping investors make data-backed decisions. Natural language processing capabilities enable financial professionals to analyze unstructured data sources, such as news articles or market reports, providing early insights into market trends. EPC Group's finance-focused AI solutions adhere to stringent regulatory standards, ensuring advanced capabilities without compromising compliance.

Manufacturing: Optimizing Production and Supply Chain Efficiency

For manufacturing, where uptime, quality control, and supply chain efficiency are crucial, generative AI offers predictive maintenance, demand forecasting, and quality control. AI-driven insights into equipment performance allow manufacturers to anticipate breakdowns and reduce costly downtimes, while demand forecasting enables responsive inventory management, minimizing waste.

EPC Group's manufacturing AI solutions address industry-specific challenges, helping clients reduce operational costs, improve quality, and enhance agility. Our solutions are designed to comply with regulatory standards, ensuring AI's sustainable integration into manufacturing workflows.

Driving Strategic Transformation with Generative AI

For organizations aiming to stay competitive in an increasingly complex digital landscape, generative AI is far more than an operational upgrade—it represents a pathway to strategic transformation. AI's potential to reshape processes, optimize resources, and create unprecedented levels of personalization and engagement is central to EPC Group's approach.

At EPC Group, we recognize that each organization's AI journey is unique. We collaborate closely with clients to develop solutions aligning with current operational needs and long-term strategic objectives. Our expertise spans end-to-end AI implementations, in which we cover every phase, from initial strategy consulting to deployment, scaling, and optimization. This ensures that AI remains a sustainable value driver rather than a fleeting initiative and that the project is done right the first time.

Transformative Customer Service

In sectors where customer service is essential, generative AI-powered agents provide personalized, context-aware interactions that enhance customer satisfaction at scale. These AI-driven conversational agents respond to complex inquiries naturally, making intelligent recommendations and building brand loyalty by fostering meaningful interactions. EPC Group customizes these agents to align with each client's brand standards, ensuring a seamless customer experience.

Predictive Logistics and Supply Chain Management

Generative AI enhances logistics and supply chain management agility by predicting potential disruptions and suggesting alternative actions. Predictive models alert organizations to delays or demand shifts, allowing real-time adjustments. This capability is crucial for industries reliant on just-in-time production, as even minor delays can significantly impact financial outcomes. EPC Group's logistics-focused AI solutions prioritize operational resilience, enabling organizations to navigate dynamic market conditions efficiently.

Data-Driven Decision-Making in Finance

In financial services, generative AI supports leaders with forward-looking insights derived from complex datasets. AI models can assess market risks, analyze trends, and recommend strategies that position clients to capitalize on opportunities. By integrating AI into decision-making, EPC Group helps clients shift from reactive to proactive business strategies, enabling them to maintain a competitive edge in rapidly evolving markets.

EPC Group's generative AI deployments are designed for long-term value. Unlike one-off implementations, our solutions evolve alongside business needs, ensuring clients' AI capabilities remain state-of-the-art. We make AI a cornerstone of strategic transformation through continuous optimization and compliance-focused design.

Navigating Risks and Ensuring Regulatory Compliance in Generative AI Implementation

Embracing generative AI offers organizations transformative benefits but also introduces critical considerations around data security, privacy, and regulatory compliance. In today's regulatory landscape, the adoption of AI is closely scrutinized, with evolving standards aimed at protecting data integrity, consumer privacy, and ethical AI usage. At EPC Group, we leverage our extensive experience in AI governance to guide clients through the multifaceted challenges of integrating generative AI, ensuring that each implementation aligns with regulatory requirements and adheres to ethical standards.

Data Security: Safeguarding Sensitive Information

Data security is one of the foremost concerns in generative AI adoption. Generative AI models require access to substantial amounts of data to function effectively, often handling sensitive information such as customer identities, financial records, and proprietary business insights. As the frequency and sophistication of cyber threats increase, organizations must ensure that AI systems protect this data from unauthorized access, breaches, and misuse.

EPC Group prioritizes robust data security measures within all generative AI deployments. Our approach includes implementing encryption protocols, secure data storage solutions, and access controls restricting sensitive data to authorized personnel. We work closely with clients to evaluate data vulnerabilities and enforce security frameworks that shield structured and unstructured data from potential risks. Additionally, our team assists in integrating AI with existing security infrastructures to create a cohesive system that guards against breaches while supporting business continuity.

EPC Group's solutions are designed to enhance data security with adaptive threat detection capabilities. By leveraging AI-driven security mechanisms, these systems continuously monitor network activity, flagging anomalous behavior that may indicate security threats. Through real-time monitoring and automatic response mechanisms, we help organizations mitigate risks promptly, minimize potential damages, and fortify their digital assets.

Privacy Compliance: Meeting Industry Standards

Privacy concerns are paramount, especially in industries like healthcare and finance, where strict regulatory frameworks govern data sensitivity. Laws such as the Health Insurance Portability and Accountability Act (HIPAA) in healthcare and the General Data Protection Regulation (GDPR) in the European Union impose stringent requirements for handling personal information. Non-compliance can lead to severe legal repercussions and significant reputational damage, making it essential for organizations to align their generative AI implementations with these privacy regulations.

EPC Group's AI governance framework is deeply rooted in privacy-by-design principles, ensuring that AI models are built to comply with data privacy regulations from the ground up. Our team conducts comprehensive privacy assessments, helping organizations understand how generative AI may impact their compliance obligations. We assist in mapping data flows, identifying personal information within datasets, and applying pseudonymization or anonymization techniques where necessary to protect individual identities.

In addition to compliance with existing regulations, EPC Group recognizes that privacy laws constantly evolve. Our proactive governance approach keeps clients informed about legislative developments that could impact their AI operations. By continuously updating compliance practices, we ensure that generative AI systems remain aligned with the latest regulatory standards, giving clients the peace of mind that their AI investments are sustainable in the long term.

Ethical AI: Building Transparency, Fairness, and Accountability

Ethical considerations are foundational to generative AI's success, influencing how AI interacts with users and the wider public. Trust is critical to achieving broad adoption, and organizations that prioritize transparency, fairness, and accountability will be better positioned to maintain strong relationships with stakeholders. EPC Group is committed to developing AI solutions that respect ethical principles, ensuring that clients' generative AI applications foster trust, reduce bias, and uphold integrity.

Transparency is achieved by creating AI models that are understandable and interpretable, providing visibility into how decisions are made. This is particularly important in customer-facing applications, where AI-driven recommendations or actions must be justifiable.

EPC Group advocates for "explainable AI," implementing methods that reveal the logic behind generative AI outputs so that end-users can trust the recommendations or decisions made. We also design our models to include feedback loops, enabling users to provide input and fostering continuous improvement based on real-world interactions.

Fairness is another cornerstone of ethical AI. Generative AI models are susceptible to bias, as they learn from historical data that may contain social or systemic biases. EPC Group incorporates fairness checks throughout the AI development, analyzing training data for potential biases and adjusting algorithms to minimize discriminatory outcomes.

By prioritizing fairness, we ensure that our AI solutions provide equitable outcomes for all users, aligning with our commitment to social responsibility and ethical AI.

Accountability is crucial in managing AI's societal impact. Organizations deploying generative AI are responsible for the outcomes produced by their systems. EPC Group implements governance mechanisms that allow clients to monitor and review AI outputs, establishing accountability structures that ensure AI applications operate as intended.

In cases where AI models generate unexpected results, our accountability framework enables swift corrective actions, helping organizations maintain control over their AI operations.

Regulatory Adherence Across Industries: Tailored Compliance Strategies

Compliance requirements vary significantly across industries, making it essential for generative AI solutions to adapt to sector-specific standards. EPC Group brings industry-specific knowledge to each engagement, tailoring compliance strategies to meet the unique regulatory landscapes in the healthcare, finance, and retail sectors.

Our solutions are designed to support clients in navigating industry-specific challenges, ensuring that generative AI applications align with each field's operational and regulatory requirements.

For instance, EPC Group's AI implementations in healthcare adhere to HIPAA and other health data privacy laws, ensuring that patient information is securely managed and safeguarded from unauthorized access. In the financial sector, we incorporate security measures that comply with the SEC and FINRA guidelines, helping financial institutions protect customer data and maintain transparency in their AI-driven decision-making processes.

This industry-centered approach ensures regulatory compliance and enhances generative AI models' reliability, positioning clients as leaders in responsible AI usage within their respective sectors.

Establishing a Culture of Compliance and AI Literacy

For generative AI to deliver sustained value, organizations need more than technical solutions—they require a culture of compliance that permeates every level of the organization. EPC Group assists clients in fostering AI literacy across their teams, empowering employees to understand and responsibly interact with AI systems.

By developing comprehensive training programs, we help organizations instill a culture of accountability and ethical awareness, ensuring compliance extends beyond regulatory adherence to become an integral part of corporate identity.

Our AI literacy programs cover various topics, including data ethics, regulatory responsibilities, and best practices for managing AI-generated insights. We also offer ongoing support for compliance teams, equipping them with tools and knowledge to oversee AI operations effectively. By embedding AI literacy into organizational practices, we help clients maintain ethical and compliant AI environments contributing to sustainable success.

Proactive Governance and Continuous Monitoring

Effective AI governance goes beyond initial deployment; it requires ongoing oversight to ensure compliance and address emerging risks. EPC Group's governance framework emphasizes proactive monitoring and continuous model assessment, enabling clients to identify potential compliance issues before they escalate. Our approach includes regular audits of AI models, performance reviews, and compliance checks to verify that systems continue to operate within ethical and regulatory bounds.

In addition, EPC Group provides clients with advanced monitoring tools that allow them to track AI performance in real time. These tools flag anomalies, security risks, or biases, enabling immediate intervention when issues are detected. Our commitment to continuous monitoring ensures that generative AI systems remain adaptable to new regulatory requirements and capable of evolving alongside technological advancements.

Building Trust Through Transparent Communication

Trust is essential for adopting generative AI, particularly in highly regulated sectors. EPC Group advocates for transparent communication with stakeholders, providing clear and accessible explanations of AI-driven decisions and outcomes. By fostering open dialogue and accountability, we help clients build trust among customers, partners, and regulators, ensuring that AI adoption supports long-term relationships and reinforces brand reputation.

In client-facing applications, we implement features that allow end-users to understand how their data is used, what decisions AI models make on their behalf, and how those decisions impact their experience. This level of transparency strengthens user confidence and encourages positive engagement with generative AI, promoting widespread acceptance and utilization of AI-powered solutions.

Achieving Responsible AI Adoption with EPC Group

Generative AI offers transformative potential, but achieving this requires a balanced approach combining innovation and responsibility. EPC Group's commitment to managing AI risks and ensuring compliance empowers clients to harness the full power of AI without compromising on ethical standards. By partnering with us, organizations access a structured AI governance framework emphasizing security, privacy, and moral responsibility, aligning AI initiatives with regulatory standards and public trust.

Our holistic approach to AI governance encompasses data security, regulatory compliance, ethical transparency, and accountability. With EPC Group's expertise, organizations are equipped to deploy generative AI solutions that drive innovation while upholding the highest standards of integrity. This builds a foundation for sustainable, responsible AI adoption that supports business growth and societal trust.

Scaling and Sustaining Generative AI for Lasting Impact

Sustainable AI success requires scalable, adaptable solutions. EPC Group assists organizations in structuring AI systems that adapt to changing business needs and integrate seamlessly with existing infrastructures. Our solutions are designed to evolve, allowing businesses to continuously optimize their operations in response to advances in AI technology and market shifts.

EPC Group provides ongoing support, including performance assessments, updates, and AI literacy development within client organizations. By fostering an adaptive AI culture, we ensure that clients can capitalize on generative AI's transformative potential now and in the future.

Conclusion: Unlocking the Full Potential of Generative AI with EPC Group

Generative AI represents a revolutionary shift in business operations, offering unparalleled efficiency, innovation, and growth opportunities. Capturing this potential, however, requires more than mere adoption—it demands expert guidance, ethical practices, and a commitment to continuous innovation.

As North America's leading AI consulting firm, EPC Group is uniquely positioned to help organizations navigate this complex landscape. Our industry-leading expertise, tailored AI solutions, and commitment to excellence enable clients to harness generative AI responsibly, turning challenges into opportunities and positioning them at the forefront of their industries. Through EPC Group, organizations can unlock the hidden potential of generative AI, transforming their vision for the future into reality.

For more information about EPC Group's , visit www.epcgroup.net or Contact Us at [email protected] .

About the Author

Errin O'Connor is EPC Group's Founder and Chief AI Architect. He is a recognized AI thought leader and one of North America's foremost experts in AI, Microsoft Copilot , large-scale cloud migrations, business intelligence, and information security. Errin has authored several best-selling Microsoft books, including "Microsoft Power BI Dashboards Step by Step," "SharePoint 2013 Field Guide: Advice from the Consulting Trenches," "Microsoft SharePoint Foundation 2010: Inside Out," and "Windows SharePoint Services 3.0: Inside Out."

Key Achievements:

• Invited by Vivek Kundra, the first CIO of the United States appointed by President Obama, to serve as an Office 365 and Microsoft Azure Cloud SME on the advisory team for the 25-point implementation plan to reform federal IT management.
• Microsoft Press Best-Selling Author on SharePoint, Power BI, and Office 365.
• Led the Microsoft technology integration for the United Airlines and Continental Airlines merger.
• Implemented the eDiscovery effort for the Federal Reserve Bank during the TARP implementation by the US Treasury, reporting to the Congressional Oversight Committee.
• Participated in Microsoft's "Project Tahoe" beta, which evolved into SharePoint 2001.
• Served as an independent advisor and SME for the original beta programs of Office 365 and Microsoft Azure , influencing product development and rollout.
• Lead Architect for NASA's SharePoint and Azure implementation across all eight major NASA facilities and was involved in the development and architecture of Nebula, the federal cloud computing platform that originated at NASA Ames Research Center at Moffett Field, California, reporting directly to NASA CIO Chris Kemp.
• Spearheaded the Northrop Grumman eRoom to SharePoint Online migration, managing 18 terabytes of content.
• Has worked extensively with organizations of all sizes in both the private and public sectors, notably the U.S. Intelligence community, on various initiatives as well as the National Archives.
• Directed Office 365 initiatives for major corporations, including PepsiCo, Nike, Chevron, and over 70 Fortune 500 companies.