AI Readiness Audit
Do you really know where your company stands with AI?
According to McKinsey, over 70% of all AI projects stall. Not because of the technology – but because use cases miss the real problems, work is produced without the right people being involved, plans are too ambitious and impossibly complex, or because AI’s potential is overestimated and its limits are underestimated.
The AI Readiness Audit creates clarity before you invest. It identifies gaps, defines actions – and gives you an honest basis for the next step.
What the audit delivers
A 20-page report with gap analysis and concrete recommendations for action – structured in five dimensions:
1. AI usage & know-how in the team
Which tools are in use – officially and unofficially? What knowledge exists, and which use cases are already running? Show where quick wins are possible and which measures will have an immediate effect. Also show whether the culture is ready for AI – whether agility and change are valued and practised.
Method: Anonymous employee survey
2. Leadership & Strategy
Leadership know-how, existing measures, budgets, guardrails and open questions. Shows where the executive team must act before the team waits.
Method: Online interviews with managers and executive team
3. Systems, Data & Compliance
Overview of existing systems, interfaces and data quality — combined with privacy and compliance requirements. Shows where AI can start immediately and where data must first be cleaned or migrated.
Method: Interview IT / Technology
4. Organisation & Processes
How structured and standardised do the teams work? Where are there silos, resistance, or processes that slow down AI adoption? The clearer the processes, the faster and cheaper the automation. AI can help to structure unclear processes, but that is an extra step.
Method: Research and interviews
5. Governance & Ethics
What already exists in terms of data protection, compliance and values — and is it actually lived? This includes shadow use on mobile phones. Practical proposal for AI guardrails and strategic no-gos: what should the company never do with AI in principle?
Method: review of documents, interviews with data protection, HR and employees.
Typical use case areas
As part of the audit, we identify potential areas of application – not fully developed concepts, but a prioritised basis for the next use case workshop:
Document processing and knowledge management
Customer correspondence and support
Reporting and data analysis
Content production and marketing
Internal communication and minutes
HR: onboarding, training, FAQs
Sales and CRM maintenance
Process automation in administration and finance
What happens next
The report does not just show gaps. It shows which use cases can be addressed immediately, which prerequisites are still missing, and what the next sensible step is: management workshop, pilot or training.
Effort & investment
Depending on company size, delivery takes 2–4 weeks. Scope: surveys, interviews and structured analysis.
Price on request.