Last Updated: October 15, 2025
Introduction
Credo AI is excited to offer early access to our AI-Powered Governance Assistant—an intelligent enhancement to our governance platform that accelerates intake and review workflows. The AI-Powered Governance Assistant is specifically designed to provide immediate value by reducing manual effort in governance processes, improving questionnaire accuracy, and enabling governance teams to scale oversight as AI adoption accelerates across the enterprise.
Purpose of this Document
As a valued Credo AI customer, you are invited to participate in the AI-Powered Governance Assistant Design Partnership. This initiative provides your organization with early access to the capability, offering the opportunity to help shape its final design. The feedback you provide will play a crucial role in enhancing the usability and effectiveness of the AI Assistant, so that it serves your needs well as you scale AI governance to keep pace with innovation.
Important Note on Timelines: Feature availability, development priorities, and release timelines outlined in this document are subject to change based on design partner feedback. Credo AI will communicate any timeline adjustments proactively throughout the design partnership.
What is the AI-Powered Governance Assistant?
The AI-Powered Governance Assistant enhances Credo AI's platform with intelligent capabilities that reduce manual effort throughout governance workflows—from initial registration through review and approval.
The AI-Powered Governance Assistant provides organizations with the following capabilities:
Context Hub Integration
- Aggregate AI system documentation, model information, vendor details, and related resources in one centralized location
- Accept multiple context sources: document uploads (PDFs, images), URLs, web searches, and manual text entry
- Provide rich context to power intelligent recommendations throughout governance workflows
Intelligent Registration & Intake
- AI-analyzed suggestions for use case metadata based on provided context
- Automated recommendations for models and vendors from platform libraries with reasoning and citations
- Smart use case naming and description enhancements
- Progressive validation to ensure complete profiles before formal submission
Smart Questionnaire Assistance
- Context-aware pre-population of questionnaire answers based on documentation and AI system characteristics
- Source citations for every AI-generated suggestion
- Recommendations informed by similar use cases and governance intelligence
- User control to accept, modify, or reject all AI suggestions
AI Review Assistant
- Validation metrics highlighting questionnaire completeness and consistency
- Intelligent flags for potential gaps, conflicts, or risk misalignments
- Automated evidence collection to support reviewer assessments
- Accelerated review cycles without compromising oversight quality
Future Integration (Roadmap)
- Expanded integration with model registries, MLOps platforms, and monitoring systems
- Progressive evolution toward guardian agent collaboration and autonomous orchestration
Note: Roadmap items and feature priorities are subject to change based on customer feedback and business priorities.
Design Partnership Environment & Data
Separate Development Tenant
During the design partnership, participants will use a dedicated design partnership tenant separate from your organization's production Credo AI environment. This approach ensures:
Safe Testing Environment:
- Design partnership activities occur in an isolated environment, protecting your production governance workflows
- No impact to existing governance processes, data, or user workflows in your primary tenant
- Freedom to experiment, test, and provide candid feedback without production concerns
Sandbox Data Usage:
- The design tenant should be populated primarily with sandbox or non-production data
- Test use cases, synthetic documentation, and representative (but non-sensitive) AI system information
- While realistic enough to evaluate AI Assistant capabilities, data should not include sensitive or confidential information
Feature Development Environment:
- Access to pre-release AI Assistant features as they're being developed and refined
- Expect iterative updates, occasional bugs, and evolving functionality throughout the partnership
- Not intended for production governance decisions or critical business workflows
Transition to Production
General Availability Timeline:
AI Assistant features tested during the design partnership are expected to reach General Availability in Q1 2026, subject to development progress and feedback integration.
Production Access:
- Upon General Availability (“GA”) release, AI Assistant capabilities will be available through your production Credo AI tenant
- Configuration and learnings from design partnership can inform production deployment
- Commercial terms for ongoing AI Assistant usage will be discussed prior to GA
Purpose of Design Partnership
The primary goals of this design partnership are:
- Customer-Driven Development: Ensure AI Assistant features are built in a way that reflects real customer needs, workflows, and pain points
- Adoption Readiness: Help participating organizations prepare for AI Assistant adoption—understanding capabilities, identifying use cases, and planning internal rollout
- Quality Assurance: Validate recommendation accuracy, usability, and value before broad release
- Strategic Partnership: Collaborate with customers to define the future of intelligent AI governance
This is a co-creation opportunity, not a production deployment. Your feedback directly shapes what we build and how we build it.
Design Partnership Details
As a Design Partner, your organization will receive the following benefits at no additional cost:
Exclusive Early Access: Be among the first organizations to test and use the AI-Powered Governance Assistant capabilities in a dedicated design environment.
Direct Product Influence: Your feedback will directly shape the Assistant's features, recommendation quality, user experience, and integration points.
Dedicated Support: Receive personalized assistance from Credo AI's Product and Research teams throughout the design partnership phase.
Strategic Partnership: Gain early insight into Credo AI's product roadmap and contribute to defining the future of AI-assisted governance.
No Additional Cost During Design Partnership Phase: Access these advanced AI capabilities during the design partnership at no charge, with priority consideration for favorable commercial terms at General Availability.
Preparation for Adoption: Build organizational readiness for AI Assistant features before GA release, enabling faster production deployment.
Design Partnership Responsibilities
Design Partner Commitments:
Feedback Participation:
- Participate in bi-weekly feedback sessions (approximately 60 minutes) to share observations, challenges, and recommendations
- Provide timely feedback on usability, recommendation quality, and workflow integration
- Cadence can be adjusted based on mutual agreement between design partner and Credo AI
Active Usage:
- Use AI Assistant capabilities in the design tenant with sandbox data during the partnership period
- Test Context Hub with sample AI system documentation and context sources
- Complete at least 5-10 test use case registrations with AI assistance to provide meaningful feedback
- Engage reviewers to test AI Review Assistant validation metrics in the design environment
Sandbox Data Management:
- Prepare and maintain appropriate sandbox/non-production data for testing
- Ensure test data is realistic enough to evaluate AI Assistant value but does not include sensitive information
- Coordinate with internal teams to source representative documentation and use case scenarios
Stakeholder Engagement:
- Involve governance leads, AI practitioners, and reviewers in testing and feedback sessions
- Designate a primary point of contact for coordination with Credo AI team
- Ensure appropriate access and permissions for participants in the design tenant
Documentation & Insights:
- Share observations on recommendation accuracy, usefulness, and trust factors
- Identify edge cases, challenges, or unexpected behaviors
- Provide examples of successful AI assistance and areas for improvement
- Document lessons learned to inform production adoption planning
Other Responsibilities:
- As outlined in the master design partnership agreement
Credo AI Support:
Environment Setup:
- Provision and configure dedicated design partnership tenant separate from production
- Set up AI Assistant capabilities within the design environment
- Provide technical support for tenant access and configuration
Product Training:
- Conduct training on Context Hub, intelligent intake, smart questionnaires, and review assistance features
- Provide documentation and guidance for testing activities
- Share updates on new features and capabilities as they become available
Dedicated Support:
- Assign Product Manager and Research Lead as primary contacts for the design partnership
- Provide responsive technical support for issues, questions, and feature clarification
- Conduct regular feedback sessions and walkthrough sessions for updates
Feedback Integration:
- Actively incorporate design partner feedback into product iterations
- Share product roadmap updates and upcoming enhancements (subject to change)
- Prioritize bug fixes and usability improvements based on partner input
- Communicate timeline adjustments and feature availability changes proactively
Success Measurement:
- Help define and track success metrics (intake time reduction, questionnaire accuracy, review acceleration)
- Provide analytics on AI Assistant usage and recommendation acceptance rates in design tenant
- Document lessons learned and best practices for production deployment and broader customer rollout
Technical Requirements
To participate in the AI-Powered Governance Assistant Design Partnership, your organization should meet the following criteria:
Existing Credo AI Platform:
- Active Credo AI governance platform deployment (production tenant)
- Established governance workflows including intake and review processes
- User base familiar with current platform capabilities
Sandbox Data Availability:
- Ability to prepare representative but non-sensitive test data for design tenant
- AI system documentation available for testing purposes (technical specs, sample model cards, architecture diagrams, etc.)
- Access to sample context sources that represent real governance scenarios
Context Sources (Optional but Valuable):
- Sample model registries, vendor information, or related AI system resources.
- Willingness to provide diverse context types to test Context Hub capabilities thoroughly.
Stakeholder Availability:
- Governance leads who can evaluate AI recommendation quality and strategic value
- AI practitioners who complete intake and questionnaires regularly and can test workflows.
- Reviewers who can test validation metrics and accelerated assessment workflows
Feedback Capacity:
- Availability for bi-weekly feedback sessions during the design partnership (approximately 10 weeks, subject to adjustment)
- Internal bandwidth to test capabilities with representative workflows in design tenant
- Willingness to provide candid, detailed feedback on features in development
What to Expect: Design Partnership Journey
Week 1: Discovery
- What You'll Do: Share current governance challenges, workflow pain points, and success criteria
- What We'll Do: Present AI Assistant capabilities, review design tenant setup, align on goals and timelines
Weeks 2-3: Design Tenant & Context Hub Setup
- What You'll Do: Access design tenant, prepare sandbox data, upload sample documentation, configure Context Hub, test initial recommendations
- What We'll Do: Provide setup support, gather feedback on Context Hub usability and environment experience
Weeks 4-6: Intake & Questionnaire Testing
- What You'll Do: Use AI assistance for test use case registrations and questionnaires with sandbox data
- What We'll Do: Monitor recommendation quality, iterate on AI suggestions based on feedback, refine confidence scoring
Weeks 7-8: Review Assistant Testing
- What You'll Do: Test reviewer validation metrics and completeness checks in design environment
- What We'll Do: Gather feedback on accelerated review workflows, optimize reviewer experience
Weeks 9-10: Refinement & Production Planning
- What You'll Do: Validate final iterations, plan production adoption post-GA, measure success against goals
- What We'll Do: Incorporate final feedback, prepare for Q1 2026 GA release (subject to timeline adjustments), discuss commercial terms
Note: This journey is illustrative and may be adjusted based on feature availability, development priorities, and design partner needs.
Success Metrics & Expected Outcomes
While every organization's goals will differ, design partners typically aim to achieve:
Time Efficiency:
- Reduced intake completion time from hours to minutes
- Accelerated questionnaire completion through intelligent pre-population
- Faster review cycles with validation metrics surfacing issues instantly
Quality Improvement:
- Improved questionnaire accuracy and completeness
- Reduced rework and back-and-forth between practitioners and reviewers
- More consistent governance quality across diverse use cases
Scaling Capability:
- Governance operations that keep pace with AI adoption growth
- Reduced manual burden enabling teams to focus on high-value decisions
- Foundation for sustainable governance as AI footprint expands
Trust & Transparency:
- Confidence in AI recommendations through citations and reasoning
- Maintained human oversight and control over critical decisions
- Audit-ready documentation of AI assistance and human approvals
Adoption Readiness:
- Organizational understanding of AI Assistant value and use cases
- Internal stakeholder alignment on production deployment strategy
- Preparation for rapid adoption upon GA release
Next Steps
For Interested Customers:
- Express Interest: Confirm participation interest with your Credo AI Customer Success Manager
- Discovery Call: Schedule initial discovery session with Credo AI Product and Research teams
- Stakeholder Preparation: Identify governance leads, AI practitioners, and reviewers for participation
- Sandbox Data Planning: Begin identifying appropriate test data and documentation for design tenant
- Review Agreement: Receive and sign Design Partnership Agreement
- Kickoff Session: Attend onboarding session with all key stakeholders to begin the partnership
Frequently Asked Questions
Q: Will this impact our production governance workflows?
A: No. The design partnership uses a separate tenant specifically for testing. Your production environment remains unchanged.
Q: What happens to our design tenant data after the partnership?
A: Design tenant data can be retained or removed based on your preference. Learnings and configurations can inform your production deployment post-GA.
Q: When will AI Assistant be available in our production tenant?
A: General Availability is planned for Q1 2026, subject to development progress and design partner feedback. We'll communicate timeline updates throughout the partnership.
Q: What if we can't meet the bi-weekly feedback cadence?
A: We can adjust the schedule based on your availability. The key is providing meaningful feedback when you can engage, even if the timing varies.
Q: Can we extend the design partnership beyond 10 weeks?
A: Yes, if additional testing time would be valuable. We're flexible and will coordinate based on mutual benefit and feature readiness.
Q: What are the commercial terms after GA?
A: We'll discuss pricing and packaging for AI Assistant capabilities before GA release. Design partners receive priority consideration for favorable terms.
Q: Will AI Assistant be available for self-hosted/on prem tenants?
A: This Design Partnership will use a SaaS Sandbox tenant not intended to use production data. AI Assistant additionally will be generally available in Q1 2026 for SaaS tenants only. If you are using a self-hosted tenant, we are happy to discuss options or potential solutions to support AI Assistant in your environment.
Contact Information
For questions or to express interest in the AI-Powered Governance Assistant Design Partnership:
Primary Contact: Your Credo AI Customer Success Manager
Product Leadership:
Ehrik Aldana (ehrik@credo.ai)
Cecily Jones (cecily@credo.ai)
We are excited to collaborate with you on this innovative journey and look forward to your valuable insights as we build the future of intelligent AI governance together.
Please note: All feature descriptions, timelines, and roadmap items in this document are subject to change based on customer feedback, technical considerations, and business priorities. Credo AI will communicate any material changes proactively throughout the design partnership.
