Get the guide to drive business growth with Trustworthy AI<\/a><\/div>\n<\/div>\n\n\n\nAI committee checkpoint: You cannot govern what you cannot see<\/h2>\n\n\n\n
As AI spreads across teams and tools, observability becomes the prerequisite for scaling. Without a centralized view, “shadow AI” and unmanaged agents may create significant risks, from security vulnerabilities to sensitive data leakage.<\/p>\n\n\n\n
To achieve enterprise readiness, your AI steering committee should be able to answer four foundational questions:<\/p>\n\n\n\n
\n- Inventory<\/strong>: What agents currently exist across our environment?<\/li>\n\n\n\n
- Identity<\/strong>: Who is using these agents and for what purpose?<\/li>\n\n\n\n
- Access<\/strong>: What systems and specific data sets do they have permission to touch?<\/li>\n\n\n\n
- Outcomes<\/strong>: What workloads are they driving and what results are they producing?<\/li>\n<\/ul>\n\n\n\n
In our updated guide, we frame observability through four technical capabilities every enterprise platform should support:<\/p>\n\n\n\n
\n- Registry<\/strong>: A single source of truth to track every AI asset in the organization.<\/li>\n\n\n\n
- Agent analytics<\/strong>: Real-time data on performance, usage patterns, and costs.<\/li>\n\n\n\n
- Agent map<\/strong>: A visualization of the connections between agents, users, and data.<\/li>\n\n\n\n
- Role-specific oversight<\/strong>: Tailored dashboards that give IT, security, and business leaders the specific metrics they need.<\/li>\n<\/ol>\n\n\n\n
The strategic impact: Accenture<\/h2>\n\n\n\n
Accenture saw innovation stall at the pilot stage as fragmented tools slowed their path to production. By implementing a centralized platform with built-in observability, they unified monitoring across development and deployment.<\/p>\n\n\n\n
Accenture has already deployed more than 75 use cases across industries<\/a>, with 16 in production, reducing AI app build time by 50%.<\/p>\n\n\n\nExecutive checklist: Scaling with control<\/h2>\n\n\n\n
Your AI steering committee can use the refreshed guide as a checklist to support a secure foundation for AI scaling:<\/p>\n\n\n\n
\n- Define trust<\/strong>: Establish clear responsible AI principles for your brand.<\/li>\n\n\n\n
- Secure by design<\/strong>: Shift to a security-first posture across all AI operations.<\/li>\n\n\n\n
- Govern the loop<\/strong>: Use the “Map, Measure, Manage” framework to mitigate risks.<\/li>\n\n\n\n
- Achieve sustainability<\/strong>: Build systems with socio-economic and environmental impact in mind.<\/li>\n\n\n\n
- Address digital sovereignty requirements<\/strong>: Understand common sovereignty scenarios and core principles to help your organization address them.<\/li>\n\n\n\n
- Ensure visibility<\/strong>: Confirm your platform supports the 4 capabilities for agent observability.<\/li>\n<\/ul>\n\n\n\n