Effective Artificial Intelligence. Sustainable Governance.
Do not forget: From August 2, 2026, additional mandatory AI governance obligations will apply.
Our services
AI strategy & roadmap
Together, we assess your organization’s AI maturity and define the target state and a clear roadmap.
Use case portfolio & evaluation
We develop initial use case ideas and prioritize them in the context of business value, feasibility, and regulatory compliance.
Building initial applications
After the evaluation, we develop initial proofs of concept (PoC) and minimum viable products (MVP).
People, roles & culture
We involve the people in the organization from the beginning, establish clear responsibilities, and set up the appropriate committees for prioritization and governance.
Governance & ethics
We establish the required AI governance in line with the GDPR and the EU AI Act: bias checks, risk management, clear roles and liability, an appropriate operating model, and policies for ethics, transparency, and quality.
Technology, MLOps & engineering
We make AI production-ready. MLOps for training, deployment, and monitoring; CI/CD for model/data/code; testing & evaluation with metrics, including logging and drift detection.
Data & infrastructure
We assess and strengthen data and infrastructure as the foundation for AI: data quality, data maturity, gap analysis, integration of structured and unstructured data, RAG pipelines for enterprise knowledge.
Adaptation & reassessment
We focus on continuous adaptation with drift detection and regular reassessments so that strategy, technology, and business goals continue to align.
Compliance by Design—our 5-stage model.
Every technical decision is designed from the outset for auditability, traceability, and regulatory compliance. This not only protects you from regulatory risks. It also builds internal trust: your management, your works council, your customers, and, if necessary, regulatory authorities can understand how your AI system makes decisions and who is responsible for it.
1. Discovery
Stakeholder interviews, analysis of the data situation, assessment of impact and feasibility. Outcome: opportunity map, prioritized use cases, decision brief.
2. Concept
Target state, system architecture, KPI definition, guardrail design, risk and obligations profile. Outcome: solution blueprint, evaluation plan, draft register.
3. MVP sprint
Build, integrations, test cases, human-in-the-loop configuration. Outcome: runnable MVP, eval set, operations runbook.
4. Pilot
User acceptance testing, monitoring setup, iterative improvement. Outcome: KPI dashboard, post-market report, final rollout plan.
5. Operations and governance
Register maintenance, quarterly reports, audits, training. Optionally as an fAIGO retainer or project-based.
Our partners
About Us.
Deepwraite advises medium-sized companies, craft businesses, and municipal administrations on the implementation of Artificial Intelligence.
We develop with you a clear AI vision, a well-founded strategy, prioritized use cases, and a path to measurable results. Governance is considered from the outset—also with regard to the EU AI Act and ISO 42001.
Deepwraite Competencies
Artificial intelligence has been at the heart of our work since 2023.
- AI Consultant certification | Innolea Institute (500 teaching units)
- Specializations in Machine Learning, NLP, AI Data Quality and Biases
- Listed in the EU Stakeholders' Catalogue for AI regulation since 2026
- ISO/IEC 42001 Lead Implementer PECB Certification in preparation (2026)
- Networked within the AI ecosystem Berlin-Brandenburg (AI Service Center, Hasso Plattner Institute)
- Support from renowned law firms specializing in AI
- Change management expertise through LMC (Switzerland)
A good conversation.
If you would like to know specifically whether and how artificial intelligence makes sense for your business—speak with us. An initial consultation takes 30–45 minutes and is non-binding. At the end, you will know more about your options—regardless of whether we work together or not.