Focus topics

AI, GenAI & Automation

Responsible AI usage with use-case selection, data foundations, guardrails, governance, quality assurance and secure operations.

SYNEDAT Consulting betrachtet AI, GenAI & Automation im Zusammenhang mit IT consulting, roadmaps, project steering, architecture and transformation. Dadurch entstehen Lösungen, die fachlich relevant, sicher betreibbar, beobachtbar, automatisierbar und langfristig wartbar sind.

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Why this topic matters now

IT landscapes are changing rapidly through cloud, data platforms, automation, cyber risks and AI. What matters is not only introducing individual tools, but creating a reliable interplay of architecture, operations, security, cost control, sustainability and governance.

Responsible AI usage with use-case selection, data foundations, guardrails, governance, quality assurance and secure operations. Digital solutions only create lasting value when architecture, delivery and operations are considered together. SYNEDAT connects business requirements with operations, observability, security, AI, automation and sustainable IT.

SYNEDAT approach

We start with a structured assessment of the current situation, prioritise risks and opportunities, design a realistic target architecture and support implementation, handover and operations. This connects management, IT leadership and delivery teams.

OpenTelemetryNIST CSF 2.0NIS2DORAEU AI ActNIST AI RMFOWASP LLM Top 10FinOpsGreen ITISO 27001

Services and product modules

The following modules can be combined as an assessment, workshop, sprint, implementation project or continuous operational support.

Ops AssessmentBetriebsmodell, Rollen, Prozesse, SLAs, SLOs, Toolchain und Verbesserungsplan.

Observability EnablementMetriken, Logs, Traces, Dashboards, OpenTelemetry, Alerting und Runbooks.

Security BaselineIdentity, Hardening, Vulnerabilities, Backup, Logging, Recovery und technische Maßnahmen.

AI Readiness SprintUse Cases, Datenlage, Risiken, Governance, Architektur-Skizze und Pilot-Roadmap.

Sustainability ReviewCloud-/Datacenter-Verbrauch, Softwareeffizienz, Lebenszyklus und messbare Optimierung.

Compliance RadarNIS2, DORA, ISO 27001, Datenschutz, AI Governance und prüfbare Umsetzungsschritte.

Sustainability in project work

Sustainable digitalisation is reflected in many decisions: less unnecessary complexity, transparent cloud and infrastructure costs, scalable operating models, usable documentation, secure data flows and durable solutions.

Efficient architecture

Cloud, datacenter and software architectures are aligned with value, load profile, scaling and resource demand.

Green software

Code, data flows, runtimes, caching and deployment can be designed to reduce technical waste.

Responsible AI

AI initiatives need governance, data quality, safeguards, transparency and clear responsibilities.

Social responsibility

Accessible interfaces, transparent communication, documentation and knowledge transfer improve the usability of digital solutions.

Next step

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The following modules can be combined as an assessment, workshop, sprint, implementation project or continuous operational support.

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