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AI for Enterprise: AI services for critical infrastructure

AI services that meet compliance requirements, build trust and deliver measurable value.

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Artificial intelligence is moving into productive business processes: as a knowledge assistant, claims bot, decision engine or data-driven analysis aid. In regulated industries such as financial services, public sector or telco, this raises the requirements for governance, security and quality.

  • Independent of cloud providers
  • Documented with legal certainty
  • Tested for reliability, hallucinations and data protection

Our offer at a glance

  • AI Discovery & Design Sprint

    A start focused on the use case: in 10 days from the first ideas to a validated AI use case, including business impact, data situation and regulatory assessment.

  • Sovereign LLM integration

    Production operation with data sovereignty: development and integration of LLM applications such as support or knowledge bots, GDPR-compliant and without vendor lock-in, as SaaS, in the EU cloud or on-prem.

  • QA for AI

    Quality and regulation: automated testing for hallucinations, prompt injection, bias, data protection compliance and industry rules, with audit-ready documentation.

  • AI powered Legacy

    Modernisation and knowledge use: we open up existing data and document repositories with GenAI, for example through RAG-based retrieval bots in regulated environments.

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What if a model hallucinates?

Then you must be able to prove that your AI works reliably, in compliance with the rules and in an explainable way, from the use case to live operation. Courts, supervisory authorities and customers are no longer lenient, not even with wrong decisions or sensitive data processed by mistake.

With AI for Enterprise, we offer services for companies that want to run sovereign, auditable AI applications. Your benefits with 7P:

  • Vendor-independent: no vendor lock-in, on-premises, in the EU sovereign cloud or in a private cloud.
  • Auditable: evidence for GDPR, EU AI Act, DORA, NIS2 and ISO 27001.
  • Ready for operation: connection to CI/CD, ITSM and GRC with clear handovers and SLA capability.
  • Measurable: planning, measurement and reporting on KPIs, quality targets and savings potential.
  • Data ready for AI: a data strategy that covers access, quality and protection from the start.
  • Expertise on demand: 7P closes skill gaps and relieves teams during ongoing operations.

Four levers with direct impact

AI for Enterprise makes your AI dependable for customers, auditors and internal stakeholders. With 7P, you do more than secure systems. You also strengthen four levers:

  • Time savings and efficiency

    Faster from idea to operation thanks to validated use cases, reusable QA modules and proven operating models. Automated testing and monitoring cut manual review effort by up to 70%.

  • Regulatory certainty

    Audit-ready evidence for GDPR, EU AI Act, DORA, NIS2 as well as ISO/IEC 27001 and ISO/IEC 42001. Reports and decision logs make everything traceable for data protection, compliance and internal audit.

  • Operational security and scaling

    Monitoring, incident management and SLA and SLO capability for reliable availability in 24/7 operation. Early warning systems for toxic content, data leaks and model drift, with clear response paths.

  • Trust and acceptance

    Clear governance, guardrails and human-in-the-loop increase quality and acceptance in business units. Data sovereignty without vendor lock-in, integrated into ITSM and GRC.

Typical use cases

AI for Enterprise shows its value where AI takes on business-critical responsibility: in regulated, data-sensitive and complex environments, at banks, public authorities or international industrial companies.

Financial services

An insurer integrates an LLM-based claims assistant. 7P tests it with industry-specific scenarios for hallucinations, bias and data protection compliance. Result: significantly fewer incorrect answers and audit-proof documentation before the BaFin review.

Public sector

A municipal IT service provider develops an AI-based knowledge chatbot for citizen enquiries. Before go-live, AI for Enterprise checks GDPR compliance, access protection and answer quality, with a 100% audit-ready go-live report under the EU AI Act.

Telecommunications and customer service

A telco scales conversational AI in its contact centre. QA modules from 7P automatically detect prompt injection and toxic content before rollout. Integrated monitoring ensures 99.95% availability in live operation.

Internal use cases in corporate groups

An international industrial group runs an AI knowledge assistant for more than 30,000 employees. AI for Enterprise secures regulatory-compliant operation in the private cloud, with ongoing KPI reviews and integration into governance.

Our case study on AIOps in banks and insurance companies shows how financial institutions use AIOps to increase the transparency of their IT infrastructure, improve response times in incident management and meet regulatory requirements.

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Make full use of the potential of AI

Arrange a free consultation. Your contact is Michael Heß, Area Manager Software Development. Next steps:

  1. You share your project details with our experts.
  2. If required, we sign an NDA to protect your data as well as possible.
  3. We submit a project proposal with cost estimate, deadlines and CVs.

Frequently asked questions about AI for Enterprise

Which regulations does AI for Enterprise cover?

Among others, the EU AI Act, the GDPR, ISO 27001, NIS2 and ISO 42001.

Are there also checks during ongoing operations?

Yes, for example real-time monitoring or specific compliance checks.

How is AI for Enterprise integrated?

Via API, CI/CD or manual deployment, each with clearly documented interfaces.

Further reading

Bring your AI safely into operation

Together we check which starting point fits: from the design sprint to audited production operation.

Send an enquiry+49 221 92 00 7-0