A.I. (Artificial Intelligence) Governance

Organizations are continuing to develop awareness and understanding of risks related to rolling out A.I. broadly, and how these can lead to significant adverse impacts if not managed properly.


Prodago has combined the major A.I. emergent frameworks and models to provide organizations with clear guidelines for protecting human values, addressing bias and incorporating ethics in automated decision-making systems.



We’ve created the operational playbook for CIO Council of Canada Guidelines, the Montreal Model, the Singapor Framework, and the Smart Dubai A.I. Principles.


We help organizations to


  1. Assess their operational readiness toward the playbook;

  2. identify gaps; 

  3. manage AI ethic risks;

  4. act on the required transformation.


To fully operationalize A.I. Governance.

What does it mean for you?

Speed. Prodago combines curated content (operational playbook) and expert professional services to guide you to implement the guidelines you choose and apply them to your data and A.I. initiatives.
Contact us for a free consultation. We will determine together if there is a fit for us to help.
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Prodago has documented operating practices for all major AI models and frameworks. In the table to the left, we see the various sets of guidelines and how they compare to each other. The count in the cells refers to the number of operating practices underlying each area.

The table to the right is an example of the Right of the person exploded to the operating practice level.

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Rights of the person

Three ways to engage

Governance Readiness Assessment

A.I. governance

Assessment of your organization’s internal A.I. policies/directives/standards against the requirements of the Models or Frameworks you select. The assessment includes:

The creation of an A.I. Operational Playbook for your organization, based on your chosen internal policies / directives / standards.

Gap analysis between your playbook and the Prodago Operational Playbook

Analysis of your organization's maturity to mitigate A.I. risks based on the gaps in your operational playbook

Operational readiness assessment

a.i. governance

Assessment (within your A.I. processes) of the operating practices supporting the Models or Frameworks you select.

The assessment includes:

Assessment of the operating practices in your organization’s data science lifecycle. Assessment dimensions for all the operating practices include existence, approval, accountability, and efficiency against intended results

Identification of A.I. risks derived from deficiencies in your A.I. operating practices

Suggested implementation roadmap, based on your risk tolerance to the identified risks


for a.i. governance

Embedding operating practices (from Prodago Operational Playbook) into your internal A.I. Processes, creating A.I. Ethics Governance-by-design.

If required - Cartography of your data science lifecycle

Mapping of each operating practices to the detailed processes of your data science lifecycle. The exercise includes all facets of A.I. Governance. (Ethics, Privacy, Security, Quality, Literacy, etc.)

Full RACI for the operating practices


Contact us to discuss your context and determine if there is a good fit for us to help.

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