Dave is charged with defining and executing on strategy for ModelOp Center, paving the way for customers to overcome their governance challenges and unlock the value of AI.
Would you develop a word processor to write a novel? No. Yet this is a common scenario in which Fortune 500 companies find themselves today with AI — building their own AI Governance platforms to bring AI initiatives to market despite it being expensive, not part of their core competency, a drag on innovation, and high risk.
Why is this and what are the alternatives to DIY?
The Steep Cost of Developing Your Own AI Governance Platform
As artificial intelligence transforms business landscapes, organizations are confronted with the need for robust governance platforms that ensure models are compliant, ethical, secure, and aligned with business objectives. This is especially true for Fortune 500 companies, where the stakes—and the scale—are exponentially higher. For Chief AI Officers, Chief Data and Analytics Officers (CDAOs), and heads of innovation, the decision to buy or build an AI governance platform can shape the speed and success of the company's AI initiatives. Building a governance solution in-house might seem tempting at first, but the steep cost—both direct and hidden—could derail AI-driven growth and delay returns on AI investments. Not to mention the added risk exposure if you build a sub-par AI governance system.
Here’s why purchasing a proven, purpose-built solution like ModelOp's AI Governance software can save resources, accelerate innovation, and protect your organization from risks that accompany custom builds.
1. The Cost of Custom Development
Building a sophisticated AI governance platform from scratch is costly and complex, particularly when dealing with the scale and demands of a Fortune 500 enterprise. While the initial development is a substantial investment in its own right, what is often not thought through fully by those thinking about DIY is the on-going maintenance and improvement costs. For AI Governance software, which requires detailed traceability and transparency of model assets, data sets used, and deployments, the variety of required supported technologies is substantial. Moreover, the pace at which these technologies are changing in the “age of AI” is even more staggering, leading to exponential growth in the maintenance and support costs of an internally built system.
Estimates from industry analysts show that building a governance solution often costs millions of dollars and demands dedicated teams over extended periods. The financial cost is only part of the equation; in-house development also drains significant time and managerial focus, hindering your team from focusing on more strategic, core initiatives. ModelOp, with years of investment in research and development, offers a mature, ready-to-deploy governance platform that circumvents the financial strain and resource diversion of custom development.
2. Core Competency Diversion
Let’s face it—governance platform development isn’t likely a core competency of Fortune 500 companies. Your strengths lie in the products and services that have propelled your brand to the top. In the race to capitalize on AI, diverting teams and resources to build a governance solution can be a significant distraction from developing those AI products that sharpen your competitive edge. Instead of doubling down on developing AI products that drive growth, an in-house build requires diverting attention to master a complex, specialized area that is outside the traditional scope of corporate expertise.
ModelOp’s AI Governance platform was designed by experts who live and breathe AI model governance. They bring a deep understanding of the unique challenges AI introduces to enterprise governance, regulation, and compliance. By adopting ModelOp, your company can tap into this specialized knowledge and free internal teams to stay focused on initiatives that align with core business goals.
3. The Risk of Slowing Innovation
Custom software builds require significant time to architect, code, and test. When that software involves a complex domain like AI governance, the time investment grows, delaying the deployment of an effective solution. For companies with extensive AI models already in operation, this delay is particularly problematic—without governance in place, the risk of model failure or non-compliance escalates over time. Additionally, a lengthy build process means that the organization may lag behind its peers, losing competitive ground in the fast-paced AI landscape.
ModelOp’s platform, in contrast, can be deployed swiftly, allowing Fortune 500 companies to enforce governance without missing a beat in their innovation strategies. The software is built with deployment speed in mind, enabling quick integration with existing infrastructure, so companies can focus on advancing their AI goals rather than managing prolonged development timelines.
4. Mitigating Legal and Ethical Risks
AI models, by nature, can be opaque and unpredictable, leading to compliance and ethical risks when they operate without clear governance controls. Developing an in-house solution requires a profound understanding of these risks and the regulatory frameworks that govern AI deployment. For most companies, this means hiring legal and compliance experts who specialize in AI, adding to the financial and resource burden. Even with the right experts on board, the regulatory landscape for AI is evolving rapidly, making it difficult for internal teams to keep governance solutions up to date.
With ModelOp’s AI Governance platform, regulatory compliance is a core feature, designed to keep pace with the latest in governance standards and best practices. ModelOp's enterprise-grade software includes continuous monitoring, automated auditing, and reporting functionalities that reduce the likelihood of non-compliance, providing peace of mind and protecting the company’s reputation.
Why ModelOp Is the Right Choice for AI Governance
In today’s AI-driven era, governance is no longer optional—it’s essential. But attempting to build a governance solution in-house is a costly, time-consuming, and risky proposition. ModelOp offers a purpose-built solution that enables Fortune 500 companies to implement a scalable, compliant, and efficient governance strategy right out of the box. With ModelOp, you can accelerate your AI journey, minimize risk, and keep your teams focused on the areas where they bring the most value.
By choosing ModelOp, you’re not only investing in a best-in-class governance solution but also empowering your organization to move faster, innovate more effectively, and maintain the highest standards in AI ethics and compliance.
