Evaluation Navigator helps PwC teams build trust into AI solutions

Elevate AI Solutions through a streamlined AI evaluation platform creating more accessibility and transparency for AI evaluations

As AI solutions move from experimentation to production, teams are increasingly expected to demonstrate how those systems perform, where risks may exist, and how decisions are governed. Yet evaluation practices are often fragmented—spread across spreadsheets, ad hoc documentation, and manual reviews—making it difficult to assess AI behavior consistently or share results with confidence. High-quality evaluations provide clearer visibility into low-performing areas, making it easier to diagnose failure modes and directly inform remediation efforts. The result is not only stronger oversight, but higher-quality, more reliable AI outputs.

Evaluation Navigator was created to help address this challenge. It provides a structured, human-led approach to evaluating AI solutions across their lifecycle. The platform supports consistent testing, documentation, and communication of evaluation outcomes, helping teams embed trust and transparency into AI development from early pilots through scaled deployment.

Evaluation Navigator offers shared guidance, reusable evaluation templates, and standardized reporting artifacts that teams can apply across a range of AI solutions. These include reusable tools for assessing performance and risk, as well as a user-facing evaluation summary that helps communicate limitations, safeguards, and intended use.

With expanded support for human review and guided evaluation workflows, domain experts can review, compare, and annotate AI outputs through our Human Alignment Center, while guided assistance helps teams plan evaluations, structure datasets, and consolidate results, providing deeper visibility into low-performing areas and informing targeted remediation efforts. Human review is essential for understanding how experts define quality and preference in AI outputs, calibrating automated evaluators to better reflect human judgment, and collecting high-quality examples that can be used to fine-tune models. These capabilities are designed to support nuanced assessment of open-ended AI tasks, such as reasoning or language generation, where traditional testing approaches may fall short.

Evaluation Navigator is intended to integrate with broader AI governance and approval processes. Insights generated can also help teams explain how AI solutions have been assessed and governed. By making evaluation more consistent and visible, Evaluation Navigator supports responsible AI development across the business.