AI is already being used across the organization, but shared rules are missing?
In many organizations, AI solutions are being developed faster than the rules for approving and overseeing them. Legal or security teams are involved only shortly before launch, and teams do not know who is accountable for risk assessment and decision-making.
The program structures AI governance across the entire lifecycle, from the initial idea to solution retirement. We design an initiative register, risk classification, decision rights, and control gates that accelerate low-risk use cases while ensuring appropriate oversight where the solution has a significant impact.
The goal is to control risk without blocking valuable initiatives.
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Who is AI Governance for?
For organizations that use AI without shared rules or an initiative register, lack clear accountability for approving use cases, or operate in a regulated environment. -
When should you establish structured AI governance?
When legal, security, or compliance teams are involved only before launch, decisions vary across business units, or AI solutions have a significant impact on customers or employees. -
What does AI Governance deliver?
The program creates an initiative register, risk classification, decision rights, and control gates so that low-risk use cases can move faster while higher-impact solutions receive appropriate oversight.
How can we help?
We design rules and mechanisms that allow AI risk to be managed in proportion to a solution’s impact and initiatives to move efficiently from idea to retirement.
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AI initiative register
We create a shared register of use cases, their owners, status, and the information required for oversight.
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Risk classification
We establish criteria that distinguish low-risk use cases from solutions requiring an in-depth assessment.
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Decision rights and accountability
We define who submits, assesses, approves, monitors, and retires AI solutions.
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Control gates across the solution lifecycle
We design control points from the initial idea through implementation, monitoring, and solution retirement.
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Documentation and model application guidelines
We structure the required information, evidence, and decisions so teams can apply the model in practice.
From late-stage review to risk management from the start
If legal, security, or compliance teams become involved only shortly before implementation, even a valuable initiative may be stopped. Governance should begin with the initial idea and guide the solution throughout its lifecycle.
The model differentiates the path based on risk. Straightforward use cases move faster, while solutions with a significant impact receive an appropriate level of assessment, accountability, and oversight.
Why Grant Thornton?
Building a repeatable capability to scale AI requires combining value and portfolio management with the design of the operating model, standards, architecture, and team ways of working.
Grant Thornton
The Grant Thornton team supports the design of the portfolio management model, accountability, decision rights, investment criteria, and value measurement system.
Digital team | EDISONDA
Grant Thornton’s Digital experts translate the scaling model into shared principles for delivering initiatives, addressing user needs, and managing processes, data, technology, and capabilities.
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30 years+
operating in Poland
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1200+
employees across 7 offices
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2400+
satisfied Grant Thornton clients each year
