Using AI is a smart move—until it isn’t.
As businesses rush to integrate AI, many overlook a critical piece: governance. Even the best AI systems can introduce risk, bias, or compliance issues without clear oversight.
Still, 56% of executives aren’t sure if their company has ethical standards for AI.
That uncertainty is avoidable.
The solution? AI governance tools that help you manage AI responsibly—with built-in transparency, documentation, and compliance features. In this guide, we’ve rounded up the best options to get you started—including , designed to keep your AI workflows aligned and accountable.
10 Best AI Governance Tools to Ensure Compliance and Transparency
AI challenges are not always noticeable at first. You need a governance tool that takes care of all the nitty-gritty so you don’t overlook compliance errors.
You must look for these features when choosing an AI governance platform.
- Bias and risk detection: Integrates an ethical AI governance framework to scan datasets and outcomes, flags potential biases, and offers mitigation suggestions
- Transparency controls: Offers clear audit trails and explanations for the generated results and decisions
- AI governance templates: Offers customizable AI prompt templates for tracking AI-powered tasks and managing AI regulations and compliance guidelines
- Real-time alerts: Sends instant notifications and alerts whenever the tool detects a risk or bias
- Regulatory tracking: Monitors AI workflows against current compliance regulations like the EU AI Act, NIST AI Risk Management Framework (AI RMF), and more
👀 Did You Know? Introduced in 2023, MACHIAVELLI is a new benchmark designed to address how ethically AI systems behave when you let them interact in social settings.
Tool | Best for | Key features | Pricing* |
Centralized AI governance with automation | AI Tasks, Docs, Dashboards, Brain for smart summaries, automations, compliance tracking | Free; Custom pricing available for enterprises | |
Credo AI | SMEs adopting AI for the first time | AI registry, Credo AI Assist for risk scenarios, sync data from MLOps tools | Custom pricing |
Holistic AI | Innovation-focused AI ops | Risk mapping, bias mitigation, prompt censorship | Custom pricing |
Fiddler AI | Monitoring enterprise-grade models | Model drift detection, audit trails, LLM observability, bias detection | Custom pricing |
Fairly AI | Startups and small businesses | Lifecycle monitoring, compliance tracking, threat modeling | Plans start at $99 |
Monitaur | Full AI lifecycle documentation | Audit logs, bias tracking, drift detection, pre-prod validations | Custom pricing |
Amazon SageMaker | Full-scale AI dev + monitoring | Model testing, AI glossaries, full ML lifecycle support | Custom pricing |
IBM Watson | Streamlining AI lifecycle ops | Bias tracking, regulation parsing, supply chain transparency | Custom pricing |
Datatron | Safety risk & AI health tracking | Threshold-based content control, drift detection, activity logging | Custom pricing |
Microsoft Azure | Testing new AI builds pre-rollout | Prompt flow testing, RAI guidelines, offensive content filters | Custom pricing |
How we review software at
Our editorial team follows a transparent, research-backed, and vendor-neutral process, so you can trust that our recommendations are based on real product value.
Here’s a detailed rundown of how we review software at .
Now that you have the basics, here are the 10 best tools for responsible AI governance. We will explore their key features, limitations, pricing, and ratings so that you can choose the right one for your needs.
1. (Best for AI governance documentation & workflow automation)

Managing AI responsibly is no small feat. From ethical risks and compliance reviews to stakeholder collaboration, it can feel like juggling ten tasks at once. That’s where comes in—your everything app for work that organizes, tracks, and automates AI oversight.
Automate AI governance workflows with Tasks
Tasks can automate repetitive AI governance tasks and reminders, assign review tasks, and set approval workflows from any action.
You can also leverage Automations to automatically assign compliance reviewers, trigger reminders for regulatory deadlines, and streamline approval workflows, reducing manual effort and minimizing the risk of oversight.
Additionally, you can easily track project progress and monitor impact. Link AI governance tasks and dependencies, and will lay out the whole chain of command for you!


AI governance is a puzzle of compliance rules, isn’t it? From GDPR and EU AI Act to ISO standards and local compliance audits, it’s a LOT! And the regulations keep changing, too.
Unless you have an eidetic memory, keeping track of each is a pipe dream, right?
Get compliance management updates with AI
Brain is ’s built-in AI assistant that helps you search, summarize, and organize governance and compliance information across your workspace. You can use it to quickly find relevant documentation, generate summaries, and automate reporting for your AI governance tasks.


You can also use Brain to get automated progress updates and activity summaries for your governance tasks.
For example, you can ask Brain to summarize the status of compliance-related projects or surface documentation on specific regulations.
Brain Max: Talk to Text for compliance workflows
AI governance requires capturing every risk, approval, and audit trail without missing a beat—and that’s where Brain Max comes in. Instead of typing long compliance notes or audit updates, use Talk to Text to instantly dictate risk findings, meeting takeaways, or regulatory updates and turn them into structured tasks or Docs.
Pair this with Enterprise Search to ask questions like “Show me all GDPR-related tasks due this month” or “Summarize progress on our AI risk register”—and Brain Max will surface the exact information from your workspace instantly.
By combining voice-first input with context-aware AI, governance teams can document faster, cut manual reporting, and stay compliant without drowning in paperwork.
But documentation alone isn’t enough—you also need a structured way to capture your team’s input. With Forms, you can collect risk assessments, incident reports, or compliance checklists and instantly convert responses into actionable tasks. This ensures that nothing slips through the cracks in your governance process.
Of course, while AI systems can simplify workflows, they also introduce data privacy and security risks. That’s why pairing automation with strong governance controls is crucial—you can streamline reporting without compromising compliance.
💡 Pro Tip: Protect sensitive governance information with ’s advanced permissions and privacy controls, so only authorized team members can access or edit compliance documents and tasks.
Simplify risk assessment with Governance AI Agents


Governance AI Agents can help automate governance workflows by assigning compliance reviews, tracking risk assessment tasks, and surfacing flagged items based on your custom rules.
📮 Insight: 88% of our survey respondents use AI for their personal tasks, yet over 50% shy away from using it at work. The three main barriers are a lack of seamless integration, knowledge gaps, and security concerns. But what if AI is built into your workspace and is already secure?
Brain, ’s built-in AI assistant, makes this a reality. It understands prompts in plain language, solving all three AI adoption concerns while connecting your chat, tasks, docs, and knowledge across the workspace. Find answers and insights with a single click!
combines built-in AI with enterprise-grade security features—so your governance data stays protected while your team securely connects chat, tasks, docs, and knowledge across the workspace.
Collaborate with your team on Docs
Your governance team can co-edit the risk register in Docs, tag stakeholders for input, and leave comments directly where they matter.
📌 Example: Legal can flag a GDPR compliance issue, while Engineering updates mitigation steps—all in one living document.


Because Docs connect directly to workflows, you can automate safety and risk evaluation tasks, assign them to the right people, and link them back to your project spaces. This ensures that data governance isn’t just theory—it’s baked into daily operations.
That kind of structure matters as AI becomes more embedded in the workplace. Instead of scattered spreadsheets and siloed notes, you get a centralized system where compliance management, governance frameworks, and risk assessments stay current, auditable, and actionable.
In short, it’s how teams turn AI in the workplace from a risk factor into a transparent, well-managed process.
best features
- Summarize and search governance documentation and compliance information with Brain
- Automate repetitive governance workflows and assign review/approval tasks with Tasks and AI Agents
- Create risk management plans and schedule each step as tasks
- Monitor compliance status and risk levels in real time with Dashboards
- Add notes to each time entry to measure time for every task, AI governance, or otherwise, with Project Time Tracking
- Give more context to team members about the AI governance complexities by setting up Custom Fields
- Track what actions your team is taking within individual AI governance tasks easily in the Activity Bar on Dashboards
- Identify the risks that need immediate attention with the Risk Assessment Whiteboard Template
limitations
- AI agents in Brain may feel complex for beginners, especially without automation experience, but become easier with use
- ’s advanced features come with a learning curve, but offer powerful customization as users get familiar
free forever
Best for personal use
Free Free
Key Features:
unlimited
Best for small teams
$7 $10
Everything in Free Forever plus:
business
Best for mid-sized teams
$12 $19
Everything in Unlimited, plus:
enterprise
Best for many large teams
Get a custom demo and see how aligns with your goals.
Everything in Business, plus:
* Prices when billed annually
The world’s most complete work AI, starting at $9 per month
Brain is a no Brainer. One AI to manage your work, at a fraction of the cost.
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ratings and reviews
- G2: 4.7/5 (10,000+ reviews)
- Capterra: 4.6/5 (4,000+ reviews)
What are real-life users saying about ?
Jodi Salice, Creative Director at United Way Suncoast, says,
💡 Pro Tip: Create and add resources like responsible AI governance practices and the basics of compliance laws to your AI governance tasks on . This way, all your team members will understand risk flags and run checks accordingly.
2. Credo AI (Best for SMEs planning to adopt AI for the first time)
Adopting AI for the first time can feel overwhelming—especially when you’re navigating unfamiliar regulations. Credo AI helps simplify this process by centralizing your AI governance workflows and converting technical documentation into business-readable policy insights.
With features like Credo AI Assist, this platform uses generative AI to auto-populate risk scenarios and help you build compliant AI registries aligned with frameworks like the EU AI Act and NIST AI RMF.
Credo AI best features
- Register AI initiatives according to official AI regulations and company AI policy, and capture metadata with the AI registry
- Set up and assign mitigation actions and track control on the AI governance workspace
- Sync data governance evidence to Credo AI from the MLOps tools you currently use
Credo AI limitations
- Has a steep learning curve
- Not the best tool for monitoring large-scale AI operations
Credo AI pricing
Credo AI ratings and reviews
- G2: No reviews available
- Capterra: No reviews available
🧠 Fun Fact: Facial recognition AI is sometimes more accurate than humans in identifying people, especially in large databases.
3. Holistic AI (Best for innovating new AI operations)
Holistic AI is an ideal tool for enterprises planning AI development that’s compliant with the EU AI Act and other regulations. This AI governance platform tracks global AI standards and compliance requirements relevant to your organization and automates AI audits.
Holistic AI best features
- Map out and monitor risks and access mitigation suggestions for individual AI systems
- Censor sensitive data from being added to generative AI prompts
- Prevent bias and system hallucinations in your LLM applications
Holistic AI limitations
- The interface is not user-friendly
- Finding specific data governance tasks can be difficult once you start running multiple workflows
Holistic AI pricing
Holistic AI ratings and reviews
- G2: No reviews available
- Capterra: No reviews available
4. Fiddler AI (Best for monitoring complex AI models for enterprise and government)
Fiddler AI is a powerful observability platform built for enterprises managing large-scale AI deployments. It monitors and explains the behavior of machine learning and LLM models, helping teams detect drift, bias, hallucinations, and performance issues before they escalate.
Widely used in finance, insurance, and public sector organizations, Fiddler helps ensure that AI decisions are fair, explainable, and compliant with regulatory standards—while generating audit-grade evidence for compliance reviews.
Fiddler AI best features
- Detect model performance and set alerts for inconsistencies and biases with model monitoring
- Apply AI guardrails to secure your sensitive data for preventive risk management
- Monitor and analyze generative AI models and LLM applications you are designing to make sure they follow AI ethics guidelines
- Explain ML predictions for autonomous systems like drones—critical in safety-sensitive environments where precision and ethical oversight are non-negotiable
Fiddler AI limitations
- The interface can be overwhelming
Fiddler AI pricing
- Lite: Custom pricing
- Business: Custom pricing
- Premium: Custom pricing
Fiddler AI ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
What are real-life users saying about Fiddler AI?
G2 review says:
📮 Insight: 22% of our respondents still have their guard up when it comes to using AI at work. Out of the 22%, half worry about their data privacy, while the other half just aren’t sure they can trust what AI tells them.
tackles both concerns head-on with robust security measures and by generating detailed links to tasks and sources with each answer. This means even the most cautious teams can start enjoying the productivity boost without losing sleep over whether their information is protected or if they’re getting reliable results.
💡 Pro Tip: Use Whiteboards to visually map governance frameworks, stakeholder responsibilities, and regulatory workflows for better team understanding and alignment.
5. Fairly AI (Best for startups and SMBs)
Are you a startup or a small business delaying responsible AI governance because you can’t find a reliable tool within your budget? Fairly AI is a good option for you. It lets you access all important AI governance features without a fuss.
Fairly AI best features
- Monitor AI systems throughout their lifecycle with an agent-as-a-judge framework
- Detect risks automatically with an AI threat modeling database
- Add company policy and track AI systems for compliance with the AI registry
- Collaborate with stakeholders to decide on checkpoints and assess compliance
Fairly AI limitations
- It may not be sufficient once you grow your operations
- The interface lacks intuitiveness
Fairly AI pricing
- Bronze: $99/month
- Silver: $299/month
- Gold: $2500/month
Fairly AI ratings and reviews
- G2: No reviews available
- Capterra: No reviews available
👀 Did You Know? The EU AI Act is the world’s first major legislation specifically targeting responsible AI governance. It classifies AI systems according to risk and enforces compliance, making governance legally enforceable.
6. Monitaur (Best for documenting your AI system’s life cycle)
Monitaur is purpose-built for companies that need to document the entire lifecycle of their AI models—from development to deployment. It supports governance in regulated industries like insurance and healthcare by offering detailed versioning, bias tracking, drift detection, and audit-ready logs.
Its Policy-to-Proof framework helps teams define governance standards, implement controls, and produce evidence that proves compliance to regulators and stakeholders.
Monitaur best features
- Validate input drift and model drift, and identify bias in AI techniques
- Search and filter transactions run through your models to access the exact ones you are looking for
- Ensure your in-house models are ready with pre-production validations before integrating them into your AI tools for decision-making
Monitaur limitations
- It lacks data-censoring features
Monitaur pricing
Monitaur ratings and reviews
- G2: Not enough reviews
- Capterra: Not enough reviews
What are real-life users saying about Amazon SageMaker?
G2 review says:
7. Amazon SageMaker (Best for developing and monitoring in-house AI models)
A part of Amazon Web Services, Amazon SageMaker offers tools to build, deploy, and govern responsible AI and machine learning models. You can set up ML testing environments and track model performance.
Amazon SageMaker best features
- Access catalogs with AI glossaries and metadata forms for easy AI governance
- Create provisions for AI environments and test access to machine learning models and data assets
- Record key assumptions, characteristics, and artifacts for every model, right from conception to implementation
Amazon SageMaker limitations
- Way too many features for someone looking for AI governance only
Amazon SageMaker pricing
Amazon SageMaker ratings and reviews
- G2: 4.2/5 (30+ reviews)
- Capterra: Not enough reviews
What are real-life users saying about Amazon SageMaker?
G2 review says:
8. IBM Watson (Best for shortening AI lifecycles)
IBM Watson is an ideal AI governance software if your primary focus is improving your AI systems’ logistics. Besides compliance, this tool will help you monitor the AI lifecycle, identify and mitigate bias in the supply chain, and reduce energy consumption.
IBM Watson best features
- Monitor and replace models in the IBM, OpenAI, and Amazon SageMaker systems
- Find out security vulnerabilities and misconfigurations, and identify shadow AI
- Automate the process of identifying and translating regulatory changes into comprehensive policies
- Track AI chats for bias and inappropriate responses with automated alerts
IBM Watson limitations
- It is not beginner-friendly
- It is expensive
IBM Watson pricing
IBM Watson ratings and reviews
- G2: 4.5/5 (70+ reviews)
- Capterra: No review available
What are real-life users saying about IBM Watson?
G2 review says:
9. Datatron (Best for safety risk management)
Facing frequent data threats lately? Maybe your AI prompts are importing sensitive information into generated results. You can use Datatron for AI governance and identify potential leaks of sensitive data. It lets you define a threshold to prevent the AI systems from including critical data in prompts and generated results.
Datatron best features
- Access the AI health score on the dashboard
- Detect data drift, concept drift, and anomalies through responsible AI governance
- Set alerts and automatic shutdowns when a model goes against your previously defined threshold
- Log AI activity and audit trails to understand how the system is behaving and why
Datatron limitations
- Distributed computing features aren’t sophisticated enough
- It may not identify all instances at once
Datatron pricing
Datatron ratings and reviews
- G2: Not enough reviews
- Capterra: No review available
What are real-life users saying about Datatron?
G2 review says:
10. Microsoft Azure (Best for testing new AI development before company-wide implementation)
Microsoft Azure packs some impressive AI governance features. You can set up internal guidelines for responsible AI practices and collaborate on prompt flow to assess bias.
Microsoft Azure best features
- Monitor text and images to detect offensive or inappropriate content
- Develop generative AI applications and custom copilots in one platform
- Understand the reasons behind AI-generated outcomes and improve accordingly
Microsoft Azure limitations
- The consumption-based plan makes it difficult to identify issues during function failures
Microsoft Azure pricing
Microsoft Azure ratings and reviews
- G2: 4.4/5 (2,000+ reviews)
- Capterra: 4.6/5 (1900+ reviews)
What are real-life users saying about Microsoft Azure?
G2 review says:
⭐ Special Mentions
These tools may not be full-fledged AI governance platforms, but they offer unique features that support responsible AI practices.
1. Arthur AI — Real-time bias and model monitoring
Arthur AI is a trusted platform for AI observability, enabling companies to monitor model performance, fairness, drift, and bias in production. It’s particularly valuable in regulated industries like finance and healthcare that need strong governance over deployed models.
- Real-time monitoring for fairness, bias, and drift
- Integrates with model development and production pipelines
- Trusted by enterprises needing explainable, ethical AI
2. Knostic — Need-to-know access governance for LLMs
Knostic is designed to prevent overexposure of sensitive data in AI prompts and responses. It implements “need-to-know” access controls at the LLM level, helping companies reduce the risk of privacy violations and data leaks.
- Enforces governance policies within LLM conversations
- Logs sensitive interactions and applies auto-masking
- Ideal for AI chat apps, copilots, and customer-facing bots
3. CalypsoAI — Secure deployment of generative AI
CalypsoAI provides LLM testing and guardrails for enterprises deploying generative AI tools. It allows organizations to validate prompts, detect hallucinations, and enforce policies—all critical components of responsible AI use.
- Blocks high-risk prompts and hallucinated outputs
- Tracks how LLMs comply with internal usage guidelines
- Often used by defense, intelligence, and regulated industries
Uphold Responsible AI Practices with
55% of Americans believe companies are not mindful of AI ethics when developing AI systems. This skepticism from the audience may impact your brand reputation and profitability. So, responsible AI governance is a must for a transparent and positive brand image.
However, the process can seem overwhelming. Don’t let the AI jargon intimidate you. Just invest in a reliable AI governance system and maintain compliance and ethical practices, no matter how widely you use AI in your company.
Or, choose , the app to replace them all. We offer AI governance workflows along with customizable templates you can use to keep track of every routine AI check. Our system will identify potential risks and notify your team.
There is more! With , you can manage risks with an assessment workflow, address the most urgent ones first, and work your way down the severity levels.
So, what are you waiting for? Sign up for today and AI regulations with diligent governance!


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