Strategy
Business value, priorities, investment decisions, target vision, and deliberate non-priorities
AAM-007
AI Strategy &
Adoption
Where does AI create real value for your organisation – and what does it take?
Not every AI opportunity deserves an initiative. And not every initiative deserves the same priority. What matters is where AI can create real value, which prerequisites are in place, and which changes an organisation can realistically sustain.
AI Strategy & Adoption connects business objectives, technological possibilities, existing initiatives, and organisational reality. The result is clear direction: what should be prioritised, what needs to be prepared first – and what should deliberately not be pursued.
Discuss AI Strategy →01
Why
Many AI initiatives do not fail because of the technology, but because of missing priorities, isolated pilot projects, unclear expectations, or organisational prerequisites that were never considered.
A sustainable AI strategy connects business value and AI use case prioritisation with real capabilities and limitations. It provides direction for investments, experiments, and adoption – while also making clear which initiatives should deliberately not be prioritised.
Strategy also means deciding what not to do.
02
What
Five perspectives on sustainable AI transformation.
Organisation
Roles, responsibilities, resources, decision paths, and executive sponsorship
Adoption
Awareness, acceptance, communication, change management, and enablement
Competence
AI literacy, knowledge, training, capability development, and collaboration
Innovation
Where experimentation makes sense, which hypotheses should be tested, and when an experiment can become a viable initiative
03
How
We combine strategic discussion with a realistic view of the organisation. Existing initiatives, objectives, stakeholders, and capabilities are assessed in context and translated into concrete areas for action.
Orient
Understand strategic objectives, existing AI initiatives, and relevant conditions
Align
Align stakeholders, responsibilities, expectations, and organisational dependencies
Assess
Assess AI capabilities, culture, adoption, and readiness for change
Shape
Shape the target vision and concrete strategic areas for action
Prioritise
Translate actions into a realistic, prioritised roadmap
04
Knowledge
Afterwards, your organisation has a shared direction for its next AI decisions:
Which AI target vision fits your business strategy and actual starting point
Which initiatives and investments should be prioritised, connected, changed, or deliberately deferred
Which organisational, cultural, and capability-related prerequisites for sustainable adoption are still missing
Which roles, responsibilities, and management decisions are required for the transformation
Which next steps are realistic and how they can be brought together in a prioritised roadmap
Typical deliverablesAI Strategy ReportAI Vision & Target StateAI RoadmapPrioritised ActionsOrganisational DevelopmentExecutive Summary
05
scip AG
A good AI strategy does not maximise the number of AI initiatives. It improves the quality of the decisions behind them.
scip combines Research, Cybersecurity, and organisational development with a holistic understanding of Trustworthy AI. We therefore do not see AI strategy as a race to generate as many use cases as possible, but as a question of value, priorities, prerequisites, and responsible implementation.
We help organisations connect technological possibilities with business objectives and their actual starting point. Our aim is a strategy that enables better decisions about where AI should be used – and where it deliberately should not.
Strategic
People
Trustworthy
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
Our strategy work connects organisational transformation with the long-term integration of Trustworthy AI. People, Governance, and sustainable adoption are central to this work.
AI & Leadership →ISO/IEC 38507:2022 — Governance Implications of the Use of AI by Organizations →Trust and AI – Three Wrong Questions →NIST AI Risk Management Framework 1.0 →AI Assurance & Trustworthy AI →08
AI strategy is not about doing more with AI.
It is about deciding what matters.
A good AI strategy connects possibilities with priorities and creates a direction that people and the organisation can genuinely support.
Discuss with scip →