We offer a range of AI Governance Toolkits that provide a structured documentation framework designed to help organisations govern their use of artificial intelligence (AI), including generative AI tools and large language models (LLMs).

It provides business-focused documentation such as:

• AI Use Policies

• AI Risk Registers

• Vendor Due Diligence Checklists

• Governance roles and responsibilities

• Structured AI risk management templates

The toolkits are designed for end-user organisations implementing AI within business operations.

• Review the AI Governance Toolkit tiers (Foundation, Advanced or Complete).

• Select the toolkit aligned to your organisation’s AI adoption stage.

• Download and implement the structured documentation framework.

• For commercial licensing enquiries, contact support@harnister.com.

Harnister focuses on structured, business-ready AI governance frameworks rather than generic policy templates.

Our toolkits are designed specifically for organisations implementing AI tools in operational environments, with structured documentation covering:

• Risk identification

• Vendor due diligence

• Defined governance roles

• Documented oversight mechanisms

The emphasis is on commercially credible governance frameworks suitable for professional and enterprise environments.

You can reach us anytime via our contact page or email - support@harnister.com. We aim to respond quickly—usually within one business day.

The AI Governance Toolkits are suitable for:

• Small to medium-sized enterprises (SMEs)

• Professional service firms

• Advisory businesses

• Organisations adopting generative AI tools

• Firms using AI for operational efficiency

It is particularly relevant for organisations seeking structured oversight, documentation and risk management around AI use.

As businesses adopt AI tools such as generative AI platforms, workflow automation systems and AI-assisted decision tools, they face:

• Data protection risks

• Vendor dependency exposure

• Uncontrolled staff use

• Inconsistent prompting practices

• Lack of documented oversight

AI governance ensures that AI use is:

• Documented

• Risk-aware

• Controlled

• Aligned with regulatory expectations

• Supported by clear internal policies

Structured AI governance reduces operational and reputational risk.

The AI Governance Toolkit is designed with awareness of emerging global AI governance and data protection expectations. While it is not jurisdiction-specific legal advice, it supports structured documentation aligned with widely recognised principles, including:

• Data protection and privacy frameworks (e.g. GDPR environments and comparable international privacy regimes)

• AI risk management best practices

• Governance principles reflected in the EU AI Act

• The NIST AI Risk Management Framework (AI RMF)

• OECD AI Principles

• Responsible AI and model oversight standards increasingly adopted by regulators and enterprise buyers

The toolkit provides structured AI governance documentation suitable for organisations implementing generative AI tools, large language models (LLMs), AI-assisted decision systems and workflow automation platforms.

It does not constitute legal advice. Organisations should obtain independent legal counsel where sector-specific regulatory obligations apply.

No.

The AI Governance Toolkit provides structured documentation and governance frameworks to support responsible AI use within organisations.

It does not constitute legal advice. Organisations should seek independent legal counsel where regulatory or sector-specific obligations apply.

Each AI Governance Toolkit tier is structured progressively:

• Foundation provides core governance documentation, including AI Use Policies and a baseline AI Risk Register.

• Advanced expands on Foundation with additional risk management tools, including enhanced vendor due diligence and more detailed governance controls.

• Complete is a consolidated package that combines both the Foundation and Advanced toolkits into one comprehensive governance suite. It includes all documentation from both tiers in a single, integrated framework.

The Complete toolkit does not introduce separate or unrelated materials — it brings together the full governance documentation set for organisations seeking end-to-end AI oversight.

Full details of each toolkit are available on the respective product pages.

Not without a commercial licence.

Consultants and advisory firms may license the AI Governance Toolkit for deployment within client engagements.

Licensing is required for commercial use beyond internal organisational implementation.

To enquire about licensing, please contact support@harnister.com.

Licensing allows authorised use of the AI Governance Toolkit within client engagements, including:

• Deployment of documentation

• Adaptation to client environments

• Integration into advisory services

Licensing terms vary depending on use case and number of consultants.

Full details are provided upon enquiry.

No.

The toolkit may not be resold as standalone templates or redistributed publicly.

Commercial deployment requires appropriate licensing.

AI governance forms the structured risk and control layer of AI implementation.

While the toolkit focuses specifically on governance documentation, it supports broader AI adoption by ensuring:

• Documented oversight

• Defined responsibilities

• Risk identification and mitigation

• Vendor assessment processes

Governance strengthens the foundation of AI transformation initiatives.

Yes.

The AI Governance Toolkit is relevant for organisations using:

• Generative AI tools

• Large language models (LLMs)

• AI-assisted productivity tools

• AI workflow automation platforms

It helps organisations govern how these tools are used internally.

No.

The toolkit is designed for business and operational use, not technical AI development.

It focuses on governance documentation, risk management and internal oversight rather than AI engineering.

Implementation timelines vary depending on organisation size.

Many SMEs can deploy baseline governance documentation within a short timeframe, with further refinement as AI adoption expands.

The AI Governance Toolkit can support structured governance in regulated environments, but organisations should ensure alignment with sector-specific regulatory requirements and obtain independent legal advice where necessary.

If your organisation is:

• At an early stage of AI adoption → Foundation may be suitable.

• Actively deploying AI tools across teams → Advanced may be appropriate.

• Seeking comprehensive AI governance coverage → Complete may be preferable.

Refer to product pages for more information. If unsure, contact support@harnister.com for guidance.

For product enquiries or licensing questions, please contact:

support@harnister.com

Yes.

The AI Governance Toolkit is designed for international use and is suitable for organisations operating in any jurisdiction, including the UK and organisations subject to GDPR or comparable data protection frameworks.

The framework is built around widely recognised AI governance and risk management principles reflected in international standards and regulatory approaches, including:

• The NIST AI Risk Management Framework (AI RMF)

• The OECD AI Principles

• Responsible AI governance models adopted internationally

• Data protection environments such as GDPR

It provides structured documentation to support:

• AI risk management

• Internal policy development

• Vendor oversight

• Role and responsibility definition

• Controlled use of generative AI and large language models (LLMs)

The governance structure is designed to be adaptable across regulatory contexts while remaining suitable for organisations operating in GDPR-aligned and other international data protection environments.