Willow AI Governance Control Plane Features

Simplifies or automates user provisioning, deprovisioning, and other user role changes.

Offers password management tools to end users.

Offers single sign-on functionalities to end users, allowing them to authenticate once and be given access to all of their company accounts.

Enforces user-access policies based on individual, role type, group membership or other factors to prevent unauthorized access to company systems and data.

Authenticates users prior to granting access to company systems.

Offers multi-factor authentication methods to verify a user's identity.

Extra layer of security that requires not only a password and username but also something specific to that user

Provides an IAM solution for on-prem systems.

Provides an IAM solution for cloud-based systems.

Track and document all activities across devices, networks, and other systems

Provides reporting functionality.

Log and report all modifications to user roles and access rights.

Provide standardized reports for regulatory compliance and audits.

Generate one-off reports that meet information requirements

Set & manage permission levels based on user roles and restrict access to only authorized individuals

Active reporting of data and metrics

Generates reports to demonstrate AI compliance with local and international frameworks.

Helps AI systems to comply with the regulations.

Maintains detailed logs of activities and changes to AI models.

Evaluates legal, operational and ethical risks posed by AI systems.

Monitors AI models for anomalies continuously.

Automates retraining, version updates and decomissioning when the models are outdated.

Restricts access to AI models and sensitive data to authorized users.

Helps sharing AI models and best practices.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Lets teams configure execution order and dependencies among AI components, ensuring workflows run smoothly and logically.

Streamlines the management of multiple AI models and agents by bringing them together into cohesive, automated workflows for complex business tasks.

Connects with a wide array of AI model APIs and external services, regardless of provider, within a single orchestration platform.

Enables the construction of sophisticated, multi-step AI workflows that combine specialized models for end-to-end process automation.

Integrates seamlessly with enterprise platforms such as CRMs, databases, and business applications for unified data and process flow.

Supports the setup of live data pipelines that move information instantly between AI components and enterprise systems.

Offers comprehensive dashboards to visualize KPIs and performance metrics for all orchestrated AI workflows.

Generates in-depth reports on workflow performance, resource consumption, and the overall business impact of AI orchestration.

Tracks and displays resource usage across all AI components, enabling proactive performance tuning and troubleshooting.

Dynamically manages and allocates computational resources, including GPU clusters, to maximize efficiency based on current workflow needs.

Scales AI workloads up or down automatically, adapting to fluctuations in processing demands and user traffic.

Provides insights into data flow, processing times, and success rates for each individual AI component within a workflow.

Ensures all AI workflows adhere to relevant regulatory standards and industry requirements.

Empowers organizations to enforce governance policies and compliance controls across orchestrated AI operations.

Facilitates the setup of role-based permissions and approval workflows for sensitive AI operations and deployments.

Maintains comprehensive logs and audit trails of workflow executions to support compliance and troubleshooting efforts.

Applies robust security protocols and policies to protect sensitive AI deployments and data flows.

Grant access based on user attributes, location, device posture or risk.

Automate onboarding, offboarding, and access reviews throughout user lifecycles.

Enable users to reset passwords and update profiles without admin support.

Accounts held by members of an organization

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Allow multiple users with individual logins and varying permissions to use the same account, software, portal, or service

Identify unusual access patterns using machine learning models.

Dynamically adjust access policies based on risk and AI-generated insights.

Suggest appropriate user roles based on usage patterns and peer behavior.

Securely stores data to prevent data loss or breaches

Set up connections to third-party platforms to improve business processes

View and track pertinent metrics to find patterns and gain insights from data

A record of all activities within the system, including user access, changes made, etc.

Automatically create schedules based on business needs or employee availability and qualifications

Integrates with Active Directory

At least a username and password is required to access the system

Notifications that are delivered to users as soon as an event occurs

A chronological record of actions or occurrences within a network, software, or process

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Use AI to generate content in the form of text, images, videos, etc.

Initiate collection and analysis of known risks

Online portal through which end users can access the system, manage tasks, or obtain information

Process of checking different types of data for accuracy to avoid errors or inconsistencies

Pre-designed layouts that can be customized to match preferences and requirements

Identify or authenticate a person's identity through biological data such as fingerprints or facial patterns.

Systematic evaluation of the security of a company's overall security system and situation

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Receive data and information in real time

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Observe and track the demand, usage, progress or quality of a system, product, or user

Compliant with HIPAA, which sets standards for sensitive patient data protection

Active monitoring of systems, applications, or networks

Alter the layout and content of reports

Analyze potential risks across the organization

Software program that continuously adjusts its behavior based on observed data

Tools that provide relevant information at specific times to support judgments and courses of action

Provides a channel for team members to share AI models, media files, communicate, and work together

Define levels of authorization for access to specific files or systems

Create, manage and track all task activities and progression

Active monitoring of systems, applications, or networks

Process and analyze human language in text or audio form

Automatically map and compare AI governance policies with actual development and deployment practices

Identify and prioritize AI risks using advanced algorithms, prevent critical vulnerabilities, and mitigate risks when required

Measure AI systems' ethical alignment to ensure compliance, fairness, transparency, and security

A record of all activities within the system, including user access, changes made, etc.

Embed/link applications into third party software so it can be accessed within a third party system

Manage and track all stages of a product lifecycle, from its conception, design, development, and deployment

Anticipates needs and offers suggestions without prompting

Supports both stdio and Streamable HTTP transports for connecting to MCP servers.

Hosts and runs MCP servers in a managed production environment.

Operates a searchable registry or marketplace for discovering available MCP servers.

Logs and audits tool invocations made through MCP for compliance and observability.

Enforces governance policies such as rate limits, allowlists, or data masking on tool calls.

Authenticates MCP connections using OAuth or other secure methods.

Provides inspector or schema-validation tools to test MCP servers before deployment.

Provides pre-built templates and boilerplate that reduce setup time for a first MCP server.

Provides SDKs or code generators to scaffold new MCP servers in supported languages.