Credo AI Advisory Services helps you optimize and scale AI governance at the speed your business demands. We assess where your capabilities stand today and build clear, scalable workflows to unify oversight, accelerate AI innovation, and operationalize trust across teams and systems. The result: faster AI adoption, stronger risk management and measurable business value from AI you can trust.
"Credo AI’s framework has complemented our internal efforts—helping us enhance existing processes, reinforce risk management, and align stakeholders around a governance model that can scale with our AI adoption."
"We're using Credo AI internally to control dozens of ongoing projects, whether they're client facing projects or solutions, but for us as an organization, we're also making sure we're compliant first and foremost with our own policies but also the EU AI Act."
“IBM’s collaboration with Credo AI on Compliance Accelerators advances this goal, pooling expertise across organizations to fuel more responsible, transparent, and explainable AI"
"What we saw with Credo AI was that 100% focus on helping raise the bar on enterprise [AI] trust, and create something that can be the platform for enterprises to truly work their way up the platform of maturity."
"Through Credo AI we get access to the world's largest risk library, and the best mapping I've ever seen of all the risks they need to pay attention to, based on the area, region, the base model they're using, all to way to exactly what needs to be measured."
We build with you—activating your people, implementing and guiding your processes, and deploying our governance platform so you can scale AI with confidence. Credo AI Advisory is a strategic enablement service designed to help organizations:
Organization wants to learn about AI Governance - Building Awareness, Baselining and creating a Gap Analysis
At Level 1, organizations mostly lack oversight. With siloed “shadow AI” projects, unclear responsibilities, and no shared language - risks are left unmanaged. This results in  an inability to scale AI responsibly.
Establish a common language, baseline your risks, align leadership around clear priorities.
Organizations want to Define High Level Enterprise AI Governance Principles
At Level 2, organizations face fragmented efforts, where roles are undefined and governance is siloed across teams. Minimal documentation and limited visibility into AI initiatives result in duplicated work, inconsistent practices, and unmanaged risks.
Define ownership, map responsibilities, create an actionable governance blueprint.
Organizations want to adopt standardized workflows for AI governance
At Level 3, organizations have started forming policies, but they are applied inconsistently and often reactively. Workflows vary across teams, and uncertainty around regulatory expectations leads to confusion, inefficiency, and potential compliance gaps.
Build and automate workflows, standardize reviews, create clear policy-to-practice links.
Organizations want to optimize their Standardizing Governance, Risk Management and Compliance
At Level 4, organizations have more structure but face inconsistency across teams. Tool sprawl and competing approaches create inefficiencies, while efforts to manage risk can slow innovation and create tension between control and agility.
Deploy a unified platform, integrate your systems, and establish consistent governance.
Organizations want to scale AI Governance, Risk Management & Compliance
At Level 4+, organizations have strong foundations but struggle to keep pace with evolving regulations and oversight demands. Limited real-time monitoring leads to delayed responses to risks, creating gaps between governance intent and execution.
Enable dynamic risk monitoring, real-time regulatory traceability, and automated reporting.
Organizations are using AI augmented AI Governance tightly integrated into technical and use case context with real time visibility into agentic and autonomous AI
At Level 5, AI governance is deeply integrated into every phase of the AI lifecycle, yet the challenge shifts from execution to anticipation. Organizations must balance agility with control, ensuring governance remains proactive rather than reactive. The complexity of multi‑jurisdictional AI oversight, coupled with emerging technology frontiers (e.g. Agentic AI), demands a governance system that learns, adapts, and improves in near‑real time.
Anticipating and governing emerging risks before they materialize
Continuously adapting mature AI governance programs to orchestrate alignment with mitigation of emerging AI risks (e.g. Agentic AI), evolving compliance standards, and regulatory complexities.
Advisory retainer services
With Credo AI, customers see 50% faster AI governance adoption, cut manual work by 60%, and gain full traceability to meet regulations like the EU AI Act, NIST RMF, and ISO 42001.
Reduction in manual governance workload in just 6 months
Higher cross-functional engagement in the first 6 months
Time to stand up operational governance workflows and tooling
Schedule your Maturity Assessment with our advisory team and get a customized blueprint to accelerate your journey.
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