Assess & Accelerate Your GenAI Readiness
Ensuring Your Responsible AI Capabilities are Ready for Scale
Assessment
Are Your Responsible AI Capabilities Ready for GenAI Scale?
As GenAI is embedded into our products, applications, and platforms, it becomes increasingly important to ensure your organization adopts, scales, and leverages it responsibly.
To win, you’ll need Responsible AI capabilities that let you scale GenAI safely, confidently, and in line with your values.
The Challenge
When organizations start scaling GenAI, Responsible AI often lags behind and leaves leaders with unresolved questions like:
- Do we share a common definition of Responsible AI across the enterprise?
- Are our policies, controls, and guardrails effective?
- Where are we most exposed to privacy, IP, bias, safety, or regulatory risk?
If your Responsible AI foundations are unclear, GenAI quickly becomes a source of risk instead of a competitive advantage.
Our Solution
The Ensure You Have the Responsible AI Capabilities to Win Assessment is a structured, lightweight digital diagnostic of your Responsible AI maturity.
- It translates broad Responsible AI aspirations into concrete capabilities, policies, guardrails, governance mechanisms, and transparency practices that can be measured and improved.
- It gives you a clear view of how Responsible AI shows up in real GenAI projects, not just on policy slides.
- It highlights your biggest gaps and strengths so you can prioritize the few improvements that matter most.
In a single hour, you move from “we understand the theory of RAI” to “we have an actionable plan to ensure RAI awareness, practices, and guardrails are embedded across our business."
Areas of Focus
- Understanding RAI – How clearly you define Responsible AI, communicate principles, and build shared awareness.
- Enterprise RAI – How Responsible AI is embedded into roles, training, incentives, and everyday ways of working.
- Content Guardrails – The policies, tools, and workflows that govern prompts and outputs and manage human review.
- Data Guardrails – How you manage privacy, consent, IP, and lineage for GenAI training, tuning, and inference.
- Transparency & Explainability – The documentation, disclosures, and explainability practices that help users understand how systems work and decisions are made.
- Responsible AI Governance and Insights – The structures, processes, and metrics to oversee and mitigate GenAI risk.
Targeted Acceleration Guides
More than 800 actionable resources to accelerate your GenAI journey, including:
- A brief description of each capability or practice
- Why it’s important and why it’s challenging at scale
- The typical complexity to solve
- Three actions to take based on your specific level of readiness
- Key watch‑outs and common pitfalls to avoid
- The benefits you can expect when you close this gap
How it Works
- Take the assessment – Purchase and complete the Responsible AI Capabilities diagnostic for your organization or team.
- Review your results – See your scores across each area of focus and compare your readiness with data-driven benchmarks.
- Unlock your Acceleration Guides and action plan – Access targeted recommendations, with concrete actions, watch-outs, and next steps.
Outcomes You Can Expect
- Clarity – A clear picture of where your Responsible AI capabilities are strong, emerging, or missing.
- Reduced risk – Lower regulatory, reputational, and operational risk from GenAI misuse or failures.
- Shared understanding – An enterprise-wide view of what RAI means in your context and how well you’re living it today.
- Focused action – A prioritized action plan that targets the Responsible AI improvements that will matter most.
- Visible progress – A repeatable diagnostic to show measurable improvement to leaders, auditors, and regulators.
This is the Solution for You, if:
- You’re scaling GenAI pilots into production and need confidence that your Responsible AI foundations can keep up.
- You have scattered Responsible AI policies or committees but no integrated, end-to-end view of readiness.
- Your board, regulators, customers, or partners are asking for evidence that you’re managing GenAI risk responsibly.