AI Readiness Audit
Clarity before scaling.
Before startups and e-commerce brands invest in expensive AI solutions, the foundation must be solid. Our audit uncovers data silos, checks the GDPR compliance of your tools, and identifies the processes in fulfillment or support that promise the highest ROI through automation.
Scaling on a shaky foundation
Unstructured data collection and the use of isolated US tools lead to chaos as order volumes grow.
Without clean first-party data structures and legally secure workflows, AI integrations fail in the reality of day-to-day e-commerce operations.
3-Step Audit Process
- 01
Infrastructure Check
Analysis of your shop systems, CRM, and logistics tools.
- 02
Data & GDPR
Evaluation of data quality and EU AI Act compliance.
- 03
ROI Roadmap
Prioritization of use cases by effort and business value.
- 04
Action Plan
Concrete architecture recommendations for your scale-up.
What we uncover in the audit
Common findings among Leipzig brands:
- „Underestimated automation potential in returns management.
- „Compliance risks from shadow IT in customer service.
- „Missing APIs between warehouse management and shop frontend.
What you gain
-
Investment Security
No bad investments in hype tools without ROI.
-
Due-Diligence Ready
Clean processes that convince investors.
-
Clear Roadmap
A prioritized roadmap for your AI transformation.
FAQ
Isn't an audit only for large corporations?
No, especially for fast-growing scale-ups, an early audit prevents expensive architectural mistakes in the future.
What do we get at the end?
A concrete technical blueprint that you can implement either with us or your own dev team.
The GDPR & AI Guide for SMEs
Download our free checklist and learn how to integrate Artificial Intelligence 100% legally and without cloud risks into your processes.
Your data is safe with us and will never be shared with third parties.
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