Responsible AI Governance Begins With PACE
When harnessed properly, AI has the potential to impact all aspects of business operations and customer experiences. Moving ideas from conception to production presents new readiness challenges such as use case selection with business cases, encouraging awareness and appropriate use, and ethical and fiscal risk management.
Perficient’s PACE Framework is a holistic approach to designing tailored operational AI programs that empower business and technical stakeholders to innovate with confidence while mitigating risks and upholding ethical standards.
Governance That Accelerates Innovation
Many organizations hesitate to fully embrace AI due to concerns over leadership alignment, uncertainty about practical applications, and lack of trustworthy integrations. An operational governance program based on the PACE framework will identify, measure, and mitigate risks rather than delaying critical innovation. With the appropriate safety systems in place, you have the confidence to adopt faster.
Encourage Cross-Department Alignment
Our Approach to AI Governance
Our comprehensive engagement model evaluates your organization against the PACE framework, tailoring programs and processes to effectively and responsibly integrate AI capabilities across your organization.
- Regularly evaluate new industry trends and capabilities and their impacts on organizational strategies
- Assess current AI readiness, business justification and ROI of use cases, and quality requirements
- Define AI ethics policies, principles and governance standards
- Promote stakeholder advocacy through training, communications and change management
- Implement AI risk controls like model audits and human oversight
- Enable technology teams with accepted tools, environments, and budgets to allow innovation
- Plan structured pilot programs that monitor quality and revenue impact, helping to prioritize refinement and ensure ROI
- Iteratively align roadmaps to growing capabilities, evolving business needs, and rapidly emerging advancements in the AI ecosystem
- Create reusable architectures that blend the best of scalable services and real-time monitoring to build, deploy, and support fast, scalable, reliable AI applications
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