Research
Technological developments, emerging risks, and organisational knowledge
AAM-001
AI Assurance
Assessment
Where does your organisation stand with AI today?
AI is changing your organisation. New initiatives are emerging, first applications are moving into production, and regulatory expectations are increasing. But how clear is the overall picture?
The AI Assurance Assessment establishes a shared understanding of where your organisation stands and connects questions of AI readiness, governance, risk, and security. It shows which foundations for the secure and responsible use of AI are already in place, where relevant gaps remain, and which questions require attention next.
Discuss the AI Assurance Assessment →01
Why
AI rarely emerges in just one part of an organisation. Business units experiment, products gain AI capabilities, employees use external services, and strategic initiatives are launched. Over time, maintaining a clear overall view becomes increasingly difficult.
Individual security reviews, policies, or compliance activities answer important questions. But they do not automatically provide a shared view of your organisation’s ability to use AI responsibly and with justified trust.
Answering individual questions is valuable – a holistic understanding is essential.
02
What
Five perspectives. One overall picture.
People
Human oversight, capabilities, awareness, and organisational integration
Quality
Data and model quality, robustness, traceability, and monitoring
Governance
Responsibilities, policies, risk acceptance, and decision structures
Security
Architecture, identities, data flows, APIs, cloud, supply chain, and threats
03
How
We combine management and stakeholder interviews, workshops, and document analysis. Together, we map the existing AI landscape, assess maturity and risks, challenge assumptions, and prioritise the areas that matter most.
Understand
Understand the context and clarify objectives
Assess
Assess capabilities, risks, and strengths
Challenge
Challenge assumptions and identify blind spots
Prioritise
Prioritise relevant issues
Recommend
Develop concrete recommendations and next steps
04
Knowledge
After the AI Assurance Assessment, you have a much clearer picture of:
Where your organisation stands in its use of AI today
Which capabilities and strengths are already in place
Where relevant risks, gaps, and uncertainties remain
Which issues require management attention
Which next steps should be prioritised
Typical deliverablesExecutive SummaryCapability OverviewIdentified RisksPrioritised RecommendationsRoadmap
05
scip AG
AI Assurance requires more than AI expertise.
scip has been researching AI, Trust, and Human-AI Interaction for years, combining this work with more than two decades of cybersecurity experience. Our insights are shaped not only by theoretical research, but also by practical work with complex systems and organisations.
This combination enables us to challenge existing assumptions, reveal technical and organisational dependencies, and bring together insights from different disciplines. Our aim is not to tick as many boxes as possible, but to determine what actually matters for the secure and responsible use of AI.
20+
2018
Holistic
06
Perspective
AAM is not a linear process. Depending on the context, other questions may become relevant and different capabilities can be applied where they add value.
07
Insights
08
Know where you stand.
Decide what matters next.
You do not need to have every answer already. But you should know which questions matter today and where your organisation actually stands.
Discuss with scip →