AI Governance, Risk, and Compliance for the AI-powered Enterprise

Credo AI helps enterprises adopt and govern AI safely, ensuring compliance and mitigating risks.
Credo AI helps enterprises adopt and govern AI safely, ensuring compliance and mitigating risks.

About the product

Main idea

Credo AI uses AI to streamline governance tasks across the organization, facilitating faster adoption of AI technologies. AI is employed to automatically gather and manage evidence, ensuring accountability and compliance with regulations, internal policies, and industry standards.

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Credo AI provides a comprehensive platform for AI governance, which includes tools for managing risk, compliance, and accountability across AI applications. Users start by registering their AI initiatives in the AI Registry, which captures all relevant metadata for prioritization and risk assessment.

The platform enables stakeholders to collaborate on AI use cases by assigning and tracking controls, storing evidence securely, and generating necessary reports. This centralized approach ensures that technical evidence can be translated into user-friendly documents, facilitating communication and compliance with global regulations and standards.

Key features

  • AI Registry: Centralized repository for registering AI initiatives to gain visibility and prioritize projects based on risk and value.
  • Policy Intelligence: Provides modular technical, process, and documentation requirements for AI systems to ensure compliance with laws, regulations, and standards.
  • Governance Workspace: Collaboration tools for assigning and tracking controls, storing evidence securely, and generating reports for AI use cases.
  • Risk Center: Visualizes AI risk and value across teams and business units, enabling prioritized governance and risk management.
  • Automated Governance Reports: Generates model cards, impact assessments, reports, and dashboards to build trust with stakeholders.
  • Technical Integrations: Allows integration with existing MLOps tools to meet governance requirements such as performance, bias, and robustness.
  • Vendor Portal: Evaluates third-party AI tools by applying Policy Packs and collecting evidence for risk and compliance assessments.




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Test the skills on real cases

Potis works on automated behavioral interviews.
Candidates will be asked to give examples of how they handled situations in a real case.

Scenario environment

You are a Project Manager at Experlogix, a global software company specializing in Configure Price Quote (CPQ) solutions. You are currently leading a team of solution consultants, architects, team leads, and support team members. The company has recently acquired a new client in the life sciences industry who wants to implement the CPQ software for their complex configurable products and services. The project will involve both a waterfall-based discovery and solution design phase, followed by Agile-based modelling sprints. The client has high expectations for a seamless implementation and expects the project to be delivered within a specific timeframe and budget.

Role specificity

As the Project Manager, you are responsible for leading the project team and ensuring the successful delivery of the CPQ implementation. You have the authority to make decisions regarding project planning, resource allocation, and stakeholder management. You will work closely with solution consultants, architects, team leads, and support team members to define and develop appropriate solutions while managing expectations to deliver an incredible customer experience.",


Build your ideal assessment

Add a job description and the required skills, the service will automatically generate interview questions and create a case.

Anti cheat way to assess

Unlike online-tests, it’s impossible to prepare for behavioral case structured interview.
AI question

Clear & bias free talent scoring

Get useful information about every candidate: by hard/ soft skills, strengths and weaknesses.

01. Technical Skills:

  • Software development methodologies (e.g., Agile, Scrum, Waterfall)
  • Programming languages, databases, and other relevant technologies
  • Software testing and quality assurance
  • Software architecture and system design

02. Strengths:

  • Lead and communicate: clearly define goals, motivate teams, and resolve issues.
  • Plan and organize: keep projects on track, manage resources, and meet deadlines.
  • Solve and adapt: troubleshoot problems, manage risks, and adjust to change.

03. Weaknesses:

  • Limited technical depth: difficulty with complex technical issues or developer communication.
  • Micromanaging tendencies: stifles creativity and reduces morale.
  • Scope creep and conflict: challenges managing changing priorities and resolving disagreements.