Resources

For AI & digital governance.

Clarity before tools.
Governance before adoption.
Capacity before scale.

Many AI initiatives remain stuck at the experimental stage.

These resources help you identify the barriers to scaling up and build a more sustainable approach to AI adoption.

01 · Governance & Decision-making Framework

Resources designed to help leaders and teams clarify responsibilities, decision-making mechanisms, and the conditions necessary for the responsible adoption of AI.

AI Readiness checklist (GUENIX)

AI Adoption Readiness Checklist

(AI Adoption Readiness Checklist)

Assess your level of preparedness before any AI investment or project.

This checklist helps to: 

• assess your real level of AI readiness; ;

• identify the main governance gaps; ;

• identify organisational risks before any investment; ;

• prioritise necessary actions before deploying AI tools.

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AI Governance Gap Self-Assessment Checklist

(AI Governance Self-Assessment Checklist)

Identify the gaps that could weaken your AI governance.

This checklist helps you identify:

  • undefined responsibilities ;
  • the missing supervisory mechanisms ;
  • grey decision-making areas ;
  • the main governance gaps likely to affect your digital and AI projects.
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02 · Data & Trust

Entrepreneurs and SMEs

Reliable AI relies on reliable data and robust governance processes.

These resources help you to better understand the organisational conditions necessary for responsible data management.

Evaluate the processes that govern your data to identify the main points of weakness that could affect your digital and AI projects.

AI Data Health Assessment

Governance and data quality assessment

Evaluate the processes that govern your data to identify the main points of weakness that could affect your digital and AI projects.

This resource helps you to examine:

  • data traceability ;
  • the responsibilities associated with their management; ;
  • governance mechanisms ;
  • The factors that influence trust in data.
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03 · Risks & trust

Resources to identify, document, and mitigate risks related to artificial intelligence before they affect your operations, compliance, or reputation.

 

AI Procurement Governance Checklist

(AI Solutions Procurement Governance Checklist)

The acquisition of an artificial intelligence solution should not rely solely on a provider's promises.

This checklist helps you to:

  • Evaluate the risks associated with purchasing or adopting an AI solution. ;
  • Check governance and compliance requirements; ;
  • clarify the responsibilities associated with the supplier; ;
  • make more informed decisions before any contractual commitment.
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AI Pilot Trap Checklist

Checklist for avoiding AI pilot project pitfalls

Many AI initiatives remain stuck at the experimental stage. This resource helps you identify the barriers to scaling up and build a more sustainable approach to AI adoption.

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04 · Adoption & Change Management

Communicating AI Adoption Effectively - GUENIX

The adoption of AI doesn't solely depend on tools. It depends on understanding, trust, behaviours and the ability of teams to integrate new practices into their daily work.

These resources explore the human and organisational dimensions that determine the success or failure of AI initiatives.

Communicating AI adoption effectively

Communicating effectively about AI adoption

Communication is often the most underestimated factor in AI projects. Poor communication, however, fuels mistrust, resistance, and misunderstandings that hinder adoption.

This resource helps you to:

  • clearly communicate the objectives of an AI initiative; ;
  • address stakeholder concerns ;
  • strengthen team confidence in the face of change ;
  • to foster gradual and responsible adoption.
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7 Resistance Signals That Kill AI Projects From Within

 

7 signs of resistance that cause AI projects to fail from within

AI projects rarely fail because the technology is flawed. They often fail because internal resistance signals go unnoticed until it's too late.

This resource helps you identify:

  • the early signs of organisational resistance; ;
  • behaviours that hinder adoption ;
  • bottlenecks in teams ;
  • actions to reduce the risks of failure.
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Publications & analyses

AI Adoption in Institutions

A work dedicated to the organisational, human, and governance dimensions that influence the success of artificial intelligence initiatives in public institutions, NGOs, and impact organisations.

The book notably explores:

  • The real causes of AI project failure ;
  • governance and responsibility issues ;
  • change management ;
  • developing sustainable institutional capacities.
Available on Amazon.
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