Operationalizing trust for enduring value

Trust AI

Responsible AI

Scaling AI in a trusted manner drives adoption and growth

Leaders are betting big on AI to help build competitive advantage, reduce friction, and create enduring value. As AI becomes integral to all facets of business, the key to success will be trust. AI deployment and enablement across the organization create the potential for value, but realization of that value requires enterprise-scale adoption, which is driven by trust.

Scaling AI in a trusted manner requires a new level of focus and precision. Expanded AI capabilities bring increased management complexities, expanded attack surfaces, the emergence of entirely new risk categories, and increased potential for blind spots. Each of these has the potential to threaten enterprise-wide and external stakeholder trust in AI. Organizations should respond with precision, through agile, future-ready AI systems engineered to strengthen trust, drive value, and scale with AI's growing autonomy.

PwC helps organizations operationalize trust and agility across the AI lifecycle with scalable, practical, and technology-enabled offerings that are engineered for the fast-evolving AI ecosystem. We address model performance and the infrastructure, data, security, and compliance requirements that surround AI. Then, we help establish the right strategic foundations and embed the right mechanisms into AI systems to strengthen trust and scale with AI's growing autonomy.

When it comes to AI: Defining trust is simple. Operationalizing trust at scale is complex.


Trust in AI isn’t a concept you present. 
It’s a capability you engineer.

Trust is earned through reliability.

For AI, trust is earned based on proof that complex systems can repeatedly produce the intended outcomes while minimizing the undesirable ones. 

Trust is more than a policy. 

The goal is no longer just risk management and compliance, but to engineer systems that learn, evolve, and strengthen trust as AI achieves enterprise-scale adoption. 

Trust is continuous.

Trust builds over time and is sustained through continuous operations. Trust is not a point-in-time effort and is realized through intentional execution at scale.


Trust AI helps clients address a new set of challenges and unlock value

As AI adoption accelerates and focus centers on lasting value, companies face increasingly difficult challenges and need to activate key levers that support ongoing operationalization of trust.

Key lever: Calibrated governance

Shift from static controls to continuous oversight that keeps pace with momentum and precisely triages governance to the level of risk posed by each use case. Establish a risk intake and tiering process and an intentionally balanced governance structure that is bold where it should be and disciplined where it must be.

Key lever: Data activation for AI

Data is the lifeblood of AI, and its quality is paramount. Organize, safeguard, and have visibility into your data at a granular level to enable its use for AI solutions. Instill regular monitoring and periodic retraining to maintain model accuracy and relevance and sustain trust.

Key lever: AI observability

A unified line of sight into usage, performance, quality, and risk signals across the AI landscape is critical to effectively manage AI as it scales, demonstrate value, coordinate cross-team operations, and proactively respond to anomalies.

Key lever: AI security foundations

Implement secure AI architectures and shared patterns and guardrails across AI solutions to reduce risk and variability. Prioritize early identification of weaknesses to drive confidence that in-flight AI solutions are ready to go live and scale.

Key lever: AI stack protection

Strengthen infrastructure and core cyber controls and align security with engineering workflows to better support and sustain AI workloads as adoption scales. Reduce exposure, control access, and strengthen resilience, so AI environments are prepared for broader enterprise use.

Key lever: Evaluation and assurance

AI models face increased expectations for governance, transparency, reliability, and, in some cases, regulation and external financial audit. As stakeholders demand greater trust in AI, independent assurance can build confidence for management and users.


Trust AI solutions

Trust AI graphic

Unlock value at pace.

Accelerate innovation and reduce friction with calibrated governance.

Our people and technology help you establish a scalable, policy-aligned, and intentionally balanced AI governance program that drives accountability and strengthens trust. Then, we help you activate the right people, processes, training, controls, testing, and monitoring at the level appropriate for each use case.

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Maintain quality at scale.

Drive reliability and speed with data activation for AI.

Our people and technology help you improve data readiness and architect infrastructure that supports AI implementation and is flexible enough to support evolving use cases. Then, we help you operationalize monitoring, remediation, and protection models that produce consistent, reliable inputs for AI workloads and drive quality and security at scale.

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Manage confidently.

Manage AI at scale and demonstrate value with AI observability.

Our people and technology help you gain clear visibility into usage, cost, quality, and risk signals to manage AI at scale, maintain control, and demonstrate value. Then, we help you establish a living inventory of all AI systems, models, and embedded tools to support strategic AI growth and coordinated adoption across teams.

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Scale safely.

Maintain security at scale with AI security foundations.

Our people and technology help you enable safe interactions and reduce variability by establishing practical safety and security controls that teams can apply as they build, deploy, and scale AI solutions. We also help you validate protections and identify and address potential vulnerabilities of your AI infrastructure or systems.

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Endure with confidence.

Enable lasting impact with AI stack protection.

Our people and technology help you enable defense in depth and strengthen trust at scale by reinforcing security across the AI stack. We help you harden and standardize your AI systems, platforms, infrastructure, and configurations, protect AI across environments, safeguard sensitive data, and strengthen defenses, so AI systems remain resilient as they scale.

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Stand behind your approach.

Gain confidence in AI model integrity with evaluation and assurance.

Our people and technology help you bring clarity, confidence, and credibility to AI systems through objective evaluation and independent assurance. We help you validate your AI implementations are operating as intended, are in alignment with industry leading practices and emerging standards, will withstand external scrutiny, and deliver outcomes leaders can stand behind.


Trust in action

We didn’t just articulate trust in AI…we activated it.

We’re on an AI transformation journey ourselves, and we know that enduring value depends on enterprise-wide trust in AI.

At PwC, we’re transforming our own business, at scale, across all functions. We are taking advantage of the potential of AI to achieve more by putting the technology directly in the hands of our people and our clients. Our goal is to integrate AI into our capabilities and tools to drive tangible, practical benefits while embedding trust every step of the way.

We’ve navigated the complexities you’re facing, as well as the inherent challenges of a regulated environment, and we know firsthand what it takes to move forward with precision. Our experience enables us to meet you where you are, and we have the people and technology to help you innovate with confidence.


Contact us

Jennifer Kosar

Jennifer Kosar

AI Assurance Leader, PwC US

Rohan Sen

Rohan Sen

Principal, Data Risk and Trust AI, PwC US

Ilana Golbin Blumenfeld

Ilana Golbin Blumenfeld

Principal, Trust AI, PwC US

David Ames

David Ames

Principal, Cyber, Data, and Tech Risk, PwC US

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