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How to Implement AI Responsibly: The Role of an External Partner and What the Company Cannot Outsource

By Pedro Sonda, dooop

Implementing AI responsibly means using AI with five elements: a clear purpose, risk assessed and controlled proportionally, prepared people, transparency with those affected, and continuous monitoring. An external partner can accelerate this work by bringing method, references, experience, and neutrality among departments. But four things cannot be outsourced: the decision about what the company agrees to do, responsibility for results, the owner of each use, and the ongoing operation of controls. The best partner enables the company to maintain responsibility independently.

Updated in October 2026.

Why Responsibility Became a Hiring Topic

FactSource
63% of organizations that suffered data breaches had no AI governance policy or were still developing oneIBM, 2025
70% of people believe AI regulation is necessary, but only 43% consider current laws adequateKPMG and University of Melbourne, 2025
Air Canada was held liable for incorrect information provided by its website chatbot, despite claiming the chatbot would be responsible for itselfABA Business Law Today, 2024

Interpretation: Lack of governance already has a cost, social and regulatory expectations are increasing, and responsibility does not transfer to the tool or the supplier.

dooop Framework: The 5 Elements of Responsible AI

ElementIn Practice
1. Clear PurposeEach use has a defined objective, owner, and limits
2. Proportional RiskRisk classification and controls appropriate to each level; see How to Define Risk Levels for Different AI Uses
3. Prepared PeopleUsers and managers know how to use, verify, and follow rules
4. TransparencyAffected people know when and how AI is involved; there is a channel for contestation
5. MonitoringIndicators, auditing, and incident handling

References such as the NIST AI RMF and ISO/IEC 42001 help structure these elements.

dooop Framework: What the Partner Does and What the Company Maintains

TopicThe External Partner CanThe Company Maintains
DecisionsPresent options, risks, and referencesDecide principles, risk appetite, and prohibited uses
StructureDesign policy, roles, classification, and controlsApprove and assume the structure
PeopleTrain leadership, managers, and teamsEnsure time and reinforcement in daily operations
Use CasesAssess risks and support testingHave an owner for each use
OperationSupport initial audits and reviewsOperate controls and respond to incidents

Decisions that belong to leadership are detailed in AI Governance: What Should Leadership Decide?. Responsibility for AI-supported decisions is discussed in Does AI Change Responsibility for Decision-Making?.

How to Evaluate a Partner for Responsible Implementation

  1. Proportionality: Does the partner propose different controls for different risks, or the same package for everything?
  2. Transferability: In the end, can the company maintain governance without the partner?
  3. Integration: Does the work connect governance to strategy and training, or only address compliance?
  4. Independence: Are recommendations dependent on a tool sold by the partner?
  5. Evidence: Does the partner show examples of policy, classification, and controls in use?

What an AI governance consultancy should deliver is described in What an AI Governance Consultancy Delivers.

What to Do Now

  • Check the 5 elements in the most relevant AI uses.
  • Separate what to contract and what to maintain based on the table.
  • Apply the 5 questions to partners under evaluation.

To implement AI responsibly, learn about AI Governance and dooop's consulting services.

Frequently Asked Questions

Is AI responsibility only about legal compliance? No. It includes compliance but also decision quality, protection of customers and employees, transparency, and trust. A company can be compliant yet still use AI irresponsibly.

Do medium-sized companies need a partner for this? Not always. With method and time, it is possible to do internally. A partner helps when experience, references, or neutrality among departments are lacking.

Also Read

About dooop

dooop is a consultancy based in Caxias do Sul (RS) that prepares leadership and organizations to transform artificial intelligence into business capability through strategy, governance, and training.

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