Sold by: IBM Software
Deployed on AWS
IBM watsonx.governance as a Service helps you direct, manage, and monitor your organization's AI activities. It provides the tools organizations need to scale AI responsibly and efficiently. Simplify compliance processes, mitigate risks and streamline operations to build trust through transparency, save time with automation and enhance collaboration across teams.
4.3
Overview
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watsonx.governance overview
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watsonx.governance and Amazon SageMaker
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Manage and monitor your GenAI and ML models
Gen AI is driving many new use cases but also exposes businesses to new risks and complexities. As organizations leverage AI agents to drive growth, business leaders are under growing pressure to demonstrate ROI from their AI initiatives to remain competitive. To safeguard your business, a holistic governance approach is needed that effectively directs, manages, and monitors your AI activities
IBM watsonx.governance accelerates responsible, transparent, and explainable AI workflows by governing any AI--including models, applications, or agents--on one integrated platform. It provides governance throughout the AI lifecycle for models, apps or agents deployed anywhere. watsonx.governance provides organizations with the toolkit they need to govern both Gen AI and ML models, applications or agents in the following key areas:
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Lifecycle governance - automate and scale model governance, provide stakeholder visibility with customizable dashboards and reports while capturing model metadata with factsheets for effortless report generation.
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Compliance - manage compliance with the growing and changing AI regulations and industry standards.
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Risk management - monitor for fairness, bias, drift and key LLM metrics, proactively detect and mitigate risks based on pre-set thresholds.
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A dashboard provides insight into relevant information related to models, including a breakdown of use cases and models by status, change requests in process, challenges, issues and tasks assigned to the various stakeholders.
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Identify and manage AI risks early on with risk assessments at use case and model-level
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Monitor the effectiveness of models with metrics. Metric values are captured for each metric and a breach status is automatically calculated to indicate if the metric is red, yellow, or green.
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Automated workflow enables the review and approval of AI assets across stakeholders.
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Provide ability to record and assess AI Use case evidence for audit and compliance
For Premium pricing, customized pricing, or to request a demo, please contact us directly at: watsonx_on_AWS@wwpdl.vnet.ibm.com
*Model evaluations are only available in Mumbai region
Highlights
- Evaluate and monitor multiple AI assets simultaneously across the AI lifecycle accelerating time to production. Save time through factsheets that automatically collect and document model metadata across the AI lifecycle while ensuring transparency.
- Manage AI risk early on with preset thresholds in AI systems to monitor for bias, drift and breaches in key LLM metrics and detect specific input/output content in real time.
- Access powerful governance, risk and compliance capabilities featuring workflows with automated approvals, customizable dashboards, risk scorecards and reports.
Details
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Delivery method
Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Standard | Includes 1 Instance, model risk governance for 5 AI Use Cases, 25 concurrent users, 12000 evaluations | $36,000.00 |
Dimension | Cost/unit |
|---|---|
Use Case Overage | $15,000.00 |
Vendor refund policy
Please contact your client account team for refund information
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Sign in to open a new case or review existing cases: https://ibm.biz/watsonx-gov-aws-support
You can view, start, or contribute to watsonx.governance user discussions on the IBM Community. Find the watsonx.governance group here:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Manu M.
Comprehensive AI Governance, But High Cost for Small Businesses
Reviewed on Dec 17, 2025
Review provided by G2
What do you like best about the product?
The best part of Watson.governance is that it helps businesses manage, monitor, and scale AI responsibly by providing a comprehensive toolkit for governance, risk management, and compliance.
What do you dislike about the product?
My biggest dislike about Watson.governance is its cost. It's way more costlier than its alternatives which makes small scale business to think twice before purchasing
What problems is the product solving and how is that benefiting you?
The main benefit of Watson.governance is that it tackles important challenges in managing enterprise AI, especially by making sure that models remain compliant with regulations, secure, and transparent throughout their entire lifecycle.
Tushar S.
Centralized Control for AI Governance, Needs Smoother Onboarding
Reviewed on Dec 17, 2025
Review provided by G2
What do you like best about the product?
I like that IBM watsonx.governance provides centralized control over all models. It gives me data to see what models exist, who owns them, when they're used, and their risk levels, which really helps eliminate chaos. I also appreciate the built-in governance feature, as it shows that compliance is not an afterthought.
What do you dislike about the product?
Non-technical stakeholders struggle with proper onboarding or training. The enterprise setup is heavy, and customization takes time. The integration system works best with IBM systems.
What problems is the product solving and how is that benefiting you?
IBM watsonx.governance provides me with end-to-end solutions for AI/ML workflows and a centralized system to manage, monitor, and enforce safe, compliant, and auditable AI model use across my organization.
ayushi j.
Streamlines AI Governance with Ease
Reviewed on Dec 16, 2025
Review provided by G2
What do you like best about the product?
I really like the automated AI Factsheets feature of IBM watsonx.governance because it creates clear, audit-ready documents without any manual work, making compliance much easier. The real-time monitoring of bias and model drift is also a standout for me as it helps catch issues early, reducing risk and ensuring the models stay reliable and stable in production. Also, it integrates well with the model development platform, data pipelines, and monitoring tools we already use. Overall, these features reduce ongoing manual efforts and provide a smoother experience.
What do you dislike about the product?
I think the setup and initial configuration can feel a bit complex and time-consuming, especially when integrating with existing tools and workflows.
What problems is the product solving and how is that benefiting you?
I use IBM watsonx.governance to manage AI models ensuring regulatory compliance and transparency. It automates AI factsheets, provides real-time monitoring for bias, reduces manual audits, and offers real-time alerts, saving time and making compliance easier.
Vamsidhar M.
Revolutionizes AI Compliance and Audit Efficiency
Reviewed on Dec 16, 2025
Review provided by G2
What do you like best about the product?
I love how IBM watsonx.governance automates the monitoring and compliance of our AI models. It tracks model drift, fairness, and bias, making sure we're audit-ready and compliant with internal standards. I appreciate that it solves the challenge of manual documentation and regulatory preparation. The automated documentation feature is fantastic, saving us huge amounts of time by creating 'nutrition labels' for our models and automating model factsheets and lineage tracking. I also love that the documentation is 'live,' always up-to-date with any model retraining or updates. The platform was relatively straightforward to set up, thanks to the SaaS version, which allowed us to start connecting our models within a few days. It's an absolute must-have for any enterprise serious about AI compliance, handling regulation better than anything else on the market.
What do you dislike about the product?
The platform is extremely feature-rich, which can make the user interface feel overwhelming and difficult to navigate for new users. They should offer simplified, role-specific dashboards. For example, a Risk Officer only needs to see high-level compliance stats, while a Data Scientist needs technical metrics. Separating these views would reduce clutter.
What problems is the product solving and how is that benefiting you?
I use IBM watsonx.governance to automate AI model monitoring and compliance, tackling the challenge of manual documentation and regulatory preparation. It automates model factsheets and lineage tracking, saving time and keeping us audit-ready without impacting development speed.
Yash Verdhan B.
Empowers AI Governance with Transparency and Confidence
Reviewed on Dec 16, 2025
Review provided by G2
What do you like best about the product?
I like IBM watsonx.governance for its model transparency, audit trails, and policy reinforcement. These features give me confidence and clear visibility. The model transparency helps stakeholders take better decisions, follow guidelines, and reduce risk.
What do you dislike about the product?
Initial setup and learning curve, time to value, and workflow configurations are challenging. The setup could be improved with clearer onboarding guidance, pre-built policies, simpler integrations, and automated setup.
What problems is the product solving and how is that benefiting you?
I use IBM watsonx.governance to manage AI risk, compliance, and visibility. It provides model transparency, audit trails, and policy reinforcement, giving me confidence, clear visibility, and helping stakeholders make better decisions while reducing risk.