Typical trigger
Technical readiness, responsibilities and guardrails before AI scales.
Assess existing capabilities and establish practical rules for data, tool access, approvals and technical responsibility.
AI & Engineering
AI Readiness and Governance
Clarify technical prerequisites, data access and responsibilities before AI use expands beyond individual teams.
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Signal
Pilots without a shared overview
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Risk
Tools are used outside approval processes
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Guardrail
Define ownership and working rules
Situation
When this becomes relevant
Individual teams are already testing AI tools while shared rules, responsibilities and technical prerequisites are still missing. As a result, it remains unclear which uses are permitted, worthwhile and safe to operate.
Which technical, organisational and team capabilities are already in place, and where are the specific gaps?
Which rules are needed for data classes, tool access, approvals and responsibility for results?
Which architecture, access controls, documentation and operational responsibilities need to be in place before a wider rollout?
Risks
Risks to address
AI tools are used without giving IT and privacy teams the opportunity to assess their use, data access and contractual terms.
Policies remain ineffective when they are not translated into practical rules for tool use, data access, approvals and reviews.
Rollout begins before data access, technical prerequisites and responsibility for operations and results have been clarified.
Which prerequisites for broader AI adoption are already in place?
Describe the current state and objective of your initiative. We will assess which technical and organisational gaps should be addressed first.