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NetDiligence Cyber Risk Summit Philadelphia

Join Integreon at NetDiligence Philadelphia! Integreon will be attending the NetDiligence Cyber Risk Summit in Philadelphia October 6-8, 2025, at the Loews Hotel. Mark your calendar for Tuesday, October 7, for the panel: “Non-Breach Privacy Claims: Mishandling or Exposure of Personal Data.” This session dives into how to manage the rise in privacy exposures –not from cyber hacks–but from improper handling and use of personal data. Panelists will explore compliance best practices, privacy frameworks, and the nuances of coverage and exclusions. Join this discussion to gain critical insights to navigate this complex and expanding risk landscape. ➡️ Conference and session details: https://lnkd.in/g4StTuq6 Panel Moderator: Anju O. (M), Brown & Brown Panel Speakers: Blake Feldman, CIPP/US, Integreon Mario Paez, Marsh McLennan Agency Timothy St. George, Troutman Pepper Locke LLP Brandon Welch, Ankura

GenAI Transformation Starts at the Top: Why C-Suite Alignment Is the Key to Enterprise Adoption

This article first appeared on AI Journal. View the original article here.  Key Takeaways Successful generative AI adoption begins with executive alignment, as the CEO, CTO, and CHRO must jointly drive strategy, governance, and cultural readiness.   Broad access to AI tools combined with strong guardrails enables innovation across departments while maintaining control and compliance.   True AI maturity is measured not by tool adoption but by measurable business outcomes, productivity gains, and continuous executive oversight. It’s not just another tech trend. Generative AI is rapidly transforming the modern workplace. From workflows and job functions to entire business models, genAI is reshaping how organizations operate and deliver value. But despite its potential, many companies still treat genAI as a standalone IT project or an isolated experiment rather than a core business initiative. That’s where transformation stalls. Real genAI adoption doesn’t live in a single department. It starts and succeeds when the C-suite is aligned. When the Chief Executive Officer (CEO), Chief Technology Officer (CTO), and Chief Human Resources Officer (CHRO) come together with a shared strategy, genAI implementation becomes far more than a technology upgrade; it becomes a catalyst for cultural and operational change. The CEO sets the vision. The CTO brings the tools to life. The CHRO ensures the people powering the business are prepared, trained, and supported. Here’s how the C-suite can align to drive meaningful, enterprise-wide transformation: Treat GenAI as a Strategic Imperative Too often, genAI conversations and implementation never move beyond IT. But genAI isn’t just about automating tasks, it’s about rethinking how work gets done. Together, the CEO, CTO, and CHRO can co-author an AI roadmap that instills meaningful and strategic change. The CEO: Leads by setting a clear vision of how genAI supports broader business objectives and long-term value creation. The CTO: Translates the vision into a scalable, secure technology architecture that integrates genAI seamlessly into operations. The CHRO: Assesses workforce readiness, aligns change management strategies, and fosters a culture of continuous learning and adaptability. In Action: When launching Integreon’s AI Center of Excellence, the CEO set the vision and approved the business case. The CTO worked closely with each business unit to establish the appropriate technical reference architecture, including the information security standards and pilot clients. The CHRO mobilized the right technical and business subject matter experts (SMEs) and operational resources, along with orchestrating broader communications at the global leadership team level to make sure change is understood and embraced.  Give Teams Access Innovation can’t scale if it’s confined to technical teams. Broad access to genAI tools empowers employees across departments to utilize efficiencies and solve problems creatively.   The CEO: Champions enterprise-wide access to genAI tools and sets the tone that innovation belongs to everyone.  The CTO: Provides secure, role-specific access while establishing data governance, risk controls, technology licensing, and user support systems.  The CHRO: Develops enablement plans, facilitates AI literacy programs, and communicates company-wide AI related policies to ensure teams are informed and supported using and implementing new tools.  Tip: To align differing perspectives on risk, start with shared principles: assume genAI is already in use informally, then co-develop guardrails that protect data without stifling innovation. Because enabling secure, sanctioned use is safer than ignoring unsanctioned experimentation.  Measure Real Impact, Not Just Usage Understanding the impact of genAI on the business is key to refining the strategy. Usage metrics are helpful, but what really matters is whether AI is improving outcomes. C-suite leaders must assess and ask themselves: Are teams more productive? Is the employee experience improving? Are customers seeing faster, more accurate results? Measuring that impact is how organizations learn, adapt, and grow.  The CEO: Defines success in business terms, such as efficiency, growth, and client impact, and works to deliver tangible results.  The CTO: Tracks system-wide performance metrics, monitors adoption trends, and identifies high-impact genAI use cases.  The CHRO: Measures workforce outcomes such as satisfaction, productivity, and retention to gauge how genAI is shaping the employee experience.  In Action: When measuring and comparing key performance indicators for new AI tools, Integreon establishes A and B teams using the same or similar case data sets. The A team uses traditional processes and automation tools, while the B team uses new processes with genAI agents. Depending on the complexity of the genAI processes and model accuracy, it is sometimes necessary to run a few Alpha and Beta batches to overcome the learning and training curves before reliable and consistent results are achieved.    Throughout these processes, the CEO champions the initiatives as part of Integreon’s broader strategy to drive innovation, efficiency, and client value. The CTO designs test frameworks, selects appropriate AI models, and analyzes performance data. The CHRO monitors human impact by tracking engagement, productivity, and change readiness. These insights guide short- and long-term workforce enablement.   Keep the Dialogue (and Strategy!) Alive GenAI is evolving fast. What works today may be outdated tomorrow; a one-time conversation won’t create lasting alignment. Executive leaders must engage in continuous, cross-functional dialogue.  The CEO: Maintains genAI as a standing priority on the executive agenda and drives continuous cross-functional collaboration.  The CTO: Keeps leaders informed of emerging technologies, vendor capabilities, and operational risks.  The CHRO: Brings forward employee insights, identifies cultural gaps, and advises on ethical and inclusive AI practices.  In Action: C-suite alignment allowed Integreon to successfully harness the full potential of Microsoft CoPilot, which it actively uses to increase productivity in ways such as developing chatbots for internal use and accelerating external workflows.   In this case, the CEO ensured Microsoft CoPilot supported long-term business goals and remained a strategic priority. The CTO identified applications that closely aligned with company goals, led tool development, and published thought leadership to inform AI strategy and investments. The CHRO created and implemented learning and adoption strategies and encouraged employees to view the tool as an opportunity for professional growth.    GenAI’s potential to transform enterprises is immense, but its impact depends entirely on how organizations put it to use. Without a clear, connected strategy championed by the executive team, even the most powerful tools won’t deliver lasting change.  But when the CEO,

Legal Tech Talks: Integreon CEO on Stalled Progress

This article first appeared on Law360. View the original article here. Company founders, attorneys and other professionals working in the legal tech space share their journeys into the industry, challenges they face when working with law firms and legal departments, and common misconceptions about technology in the legal industry. If you’d like to write about these issues, please reach out to [email protected]. In this installment, Subroto Mukerji, CEO of Integreon, discusses how progress can stall when teams focus too heavily on selecting the right technology rather than identifying the right applications, and highlights how there is a need for consistent, principle-based frameworks that guide responsible AI usage. My Journey Into the Legal Tech World I spent all my working career in IT services and entered the legal tech world at what I believe was the perfect moment. I grew up in India, and, after college and a few years of working in the IT industry, relocated to the U.S. In all, I spent over three decades in the technology sector, including key leadership roles at HP and its predecessor and successor companies. Later, I served as chief operating officer and then president of the Americas at Rackspace Technology. Throughout my career, I’ve been driven by a consistent focus: not just implementing technology, but ensuring it is applied in ways that truly benefit the end client. I joined Integreon in 2022 — serendipitously, right around the time generative artificial intelligence, including ChatGPT, launched. I had seen many such transitions in the IT industry: For instance, the rise of the internet, and the transitions from PCs to mobile and from on-premises software to the cloud. The lessons from these other major shifts apply to the change that we are seeing in legal tech today: Clients need even more help when there is a technology inflection Service providers that learn and adopt the new technology win. In fundamental technology change (like generative AI), early adopters will expand their lead over others, and fast followers will not catch up. Keeping the people dimension at the forefront is When technology is changing rapidly and no winner has emerged, it is often better to buy the milk, not the cow. In other words, buy the outcome rather than the This is especially true because large enterprises have complex processes to introduce new technology, so they should begin by buying tech-enabled outcomes even as they evaluate which new tech to buy for what use cases. The basics of economics are not changed by a new technology, so incentives still drive behavior. This means that crafting win/win scenarios is important. Biggest Challenges When Working With Law Firms or Legal Departments We work with large enterprise companies and law firms around the world. Many of our clients are either mandated or are actively seeking to implement generative AI solutions. One of the most common challenges we see isn’t a lack of interest; rather, it’s the difficulty in shifting from experimentation to intentional, scalable adoption. Too often, progress stalls because teams focus too heavily on selecting the right technology rather than identifying the right applications. Identifying the right use cases is a critical first step for firms to move beyond experimentation. It can be daunting, particularly in organizations that may lack clear internal processes for innovation, feel uncertain about their technical readiness, or are wary of making premature investment decisions. But sidestepping this step in favor of tech scouting puts form before function. Successful adoption should always begin with a specific business need. Rather than chasing vendor hype or market buzz, legal teams should anchor their efforts in well-defined, real- world challenges that align with strategic objectives. Use cases should be selected not because they match the latest trends, but because they solve a real problem and improve measurable outcomes. Common Misconceptions Attorneys Have About Working With New Technology I don’t think skepticism about new technology is unique to attorneys. With the introduction of any transformative innovation, there are always misconceptions — both about what technology can do and what it cannot. That said, legal professionals do tend to be especially cautious by nature. They are trained to identify risk, mitigate exposure and operate within tightly defined frameworks, so it’s no surprise that the adoption of new technology is met with a higher degree of scrutiny. To address those concerns, I always go back to use cases. Demonstrating where and how technology can deliver real, measurable value in legal workflows is key to shifting perceptions. Whether it’s accelerating contract review, enhancing document classification or improving legal research, showing practical results builds trust. When it comes to risk, it’s critical to reinforce that technology is not a replacement for legal expertise, but rather an enabler. In fact, to minimize risk and fully harness the potential of technology such as generative AI, subject matter and process expertise are more important than ever. These tools need to be guided, monitored and continuously refined by professionals who understand the nuances of the law and the context in which it is applied. Business and Legal Hurdles One of the biggest business hurdles we’re seeing in the legal services space isn’t just about technology, it’s about people. As generative AI rapidly evolves, the challenge is beyond simply deploying the tools but ensuring that teams across the organization are equipped to use them effectively and responsibly. From a regulatory perspective, clarity is still evolving, and that’s understandable given how quickly the technology is advancing. While I don’t believe we need heavy-handed regulation, there is a need for consistent, principle-based frameworks that guide responsible AI usage, particularly in high-stakes areas like legal services. Until such guardrails are fully established, it’s incumbent on organizations like ours to lead with accountability, transparency and client trust at the core. Other Legal Tech Tools That Have Impressed Me My favorite legal tech tool, broadly speaking, is not one tool, but a shift in focus from technology to process redesign by taking advantage of automation, including generative AI and agentic AI. Why