ServiceNow AI opens the door to extraordinary opportunities—from automating routine tasks to uncovering insights that transform the way organizations operate. But without the right foundation, AI initiatives often stall, overspend, or fail to scale.
The issue isn’t excitement about AI, it’s readiness. Data silos, outdated systems, unclear strategy, and cultural resistance can quietly derail even the most ambitious projects.
Our AI Readiness Assessment helps you get ahead of these obstacles by evaluating your organization across five critical dimensions: strategy, data, technology, people, and governance. You’ll gain a clear picture of where you stand today, identify gaps and risks, and walk away with a practical roadmap to accelerate adoption and realize lasting value from your AI investment.
What You’ll Gain
The assessment doesn’t just highlight gaps—it delivers a clear plan of action and the tools to move forward. You’ll receive a readiness scorecard along with a prioritized set of initiatives, complete with impact and effort estimates. We’ll provide a detailed roadmap that outlines timelines and dependencies, plus a risk register with governance insights to help you avoid common pitfalls. You’ll also get tailored recommendations around people, process, and culture—so you’re equipped to move forward with confidence on every front.
How well is your organization’s AI vision aligned with business goals and leadership priorities? We examine whether executives are not only sponsoring AI initiatives but also integrating them into long-term strategic plans. Success here means AI isn’t treated as a side project; it’s part of the broader enterprise roadmap, tied to measurable outcomes, and championed by leaders who understand both the opportunities and the risks.
Data & Infrastructure
AI is fueled by data, but too often it’s siloed, inconsistent, or incomplete. In this dimension, we evaluate your ability to collect, clean, and govern data across the enterprise. That includes looking at data hygiene practices, integrations between systems, and whether your infrastructure can scale securely to meet AI demands. We also assess compliance with privacy and regulatory requirements, ensuring your foundation is solid before any models are deployed.
Technology & Tools
The right technology stack can accelerate AI adoption, while legacy constraints often slow it down. Here, we focus on whether your existing systems and platforms can support advanced analytics, automation, and machine learning at scale. We look at tool interoperability, scalability, and the flexibility of your environment to adopt emerging solutions. The goal is to highlight where current tools enable progress and where outdated technology may need to be replaced or modernized.
People & Culture
AI transformation succeeds only when people are ready to embrace it. This dimension focuses on skills, adoption, and culture. Do your teams have the knowledge to work alongside AI? Are there training programs in place to close skill gaps? Just as important, we look at whether your organization’s culture supports experimentation and continuous learning — or if resistance to change could stall progress. Preparing people to adapt and thrive with AI is just as critical as the technology itself.
Governance & Risk Management
In this dimension, we examine governance structures, ethical frameworks, and compliance safeguards. That includes how risks such as bias, data privacy, and regulatory requirements are addressed, as well as the controls in place to govern who can access, modify, or delete data. With multiple AI entities operating in your environment, these access policies must remain consistent and enforceable to prevent misuse and protect sensitive information. Strong governance ensures your AI initiatives are trusted, accountable, and sustainable over the long term.
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