AI for companies in regulated industries
With AI for Enterprise, we integrate AI services securely and compliantly into governance-critical environments such as finance, public sector and telecommunications.
AI services that ensure compliance and build trust
Artificial Intelligence is entering productive business processes: as a knowledge assistant, claims bot, decision engine or aid for data analysis. In regulated industries such as financial services, public administration or telecommunications, the demands on governance, security and quality are rising as a result.
What happens if a model hallucinates, makes incorrect decisions or unintentionally processes sensitive data? Courts, regulators and customers are no longer lenient. Organisations using AI must prove that it works reliably, in compliance with regulations and is explainable, from use case to live operations. With AI for Enterprise, we provide services for companies that want to operate sovereign, auditable AI applications.
- Cloud-independent
- Legally documented
- Tested for reliability, hallucinations and data protection
Our offering at a glance
Four modules from the first use case to tested production operation.
AI Discovery & Design Sprint
Kick-off and use case focus: within 10 days, move from the initial ideation phase to a validated AI use case, including business impact, data availability and regulatory classification.
Sovereign LLM Integration
Productive operation and data sovereignty: we develop and integrate LLM-based applications such as support bots or knowledge bots. GDPR-compliant, without vendor lock-in, as SaaS, in the EU cloud or on-premises.
QA for AI
Quality and regulatory compliance: automated testing for hallucinations, prompt injection, bias, GDPR compliance and industry-specific regulations, supported by auditable documentation.
AI powered Legacy
Modernisation and knowledge utilisation: GenAI opens up existing data and document collections, for example through RAG-based retrieval bots in regulated environments.
What does your organisation gain?
AI for Enterprise makes your AI resilient for customers, auditors and internal stakeholders alike. With 7P, you not only secure your systems. You also strengthen four key levers with direct impact.
Time savings and efficiency: validated use cases, reusable QA components and established operating models move you from idea to production faster. Automated testing and continuous monitoring reduce manual verification efforts by up to 70%.
Regulatory assurance: auditable proof of compliance with GDPR, the EU AI Act, DORA, NIS2 as well as ISO/IEC 27001 and ISO/IEC 42001, traceable through reports and decision logs.
Operational security and scalability: monitoring, incident management and SLA and SLO capability for 24/7 operation, plus early warning systems for toxic content, data leaks and model drift with clearly defined response pathways.
Trust and adoption: governance, guardrails and human in the loop increase quality and acceptance across business units.
- No vendor lock-in: on-premises, EU sovereign cloud or private cloud
- Integration with CI/CD, ITSM and GRC with SLA capability
- Measurable KPIs, quality objectives and cost-saving potentials
- A data strategy for access, quality and protection from the start
- Expertise on demand: we close skill gaps and relieve your teams
Where do companies use AI for Enterprise?
AI for Enterprise shows its value where AI takes on business-critical responsibility: in regulated, data-sensitive and complex environments, whether for banks, public authorities or international industrial enterprises.
Financial services
An insurance provider integrates an LLM-based claims assistant. 7P conducts testing with industry-specific scenarios for hallucinations, bias and GDPR compliance. Result: significantly reduced incorrect responses and audit-ready documentation ahead of 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 validates GDPR compliance, access protection and response quality, delivering a 100% auditable go-live report in line with the EU AI Act.
Telecommunications and customer service
A telecom provider scales Conversational AI in its contact centre. With 7P QA modules, prompt injection and toxic content are automatically detected before rollout. An integrated monitoring solution ensures 99.95% availability in live operations.
Internal use cases in large enterprises
An international industrial group operates an AI knowledge assistant for more than 30,000 employees. AI for Enterprise ensures regulatory-approved operation in a private cloud, including continuous KPI reviews and governance integration.
Your contact
Michael Heß
Area Manager Software Development
You share your project details with our experts. If required, we sign an NDA. You then receive a project proposal including cost estimates, timelines and CVs.
Frequently asked questions about AI for Enterprise
Which regulations does AI for Enterprise cover?
EU AI Act, GDPR, ISO 27001, NIS2, ISO 42001 and other regulations. You receive auditable proof and traceable documentation for them.
Can additional checks be added?
Yes, for example real-time monitoring or specific compliance checks for your use case.
How is AI for Enterprise integrated into your systems?
Via API, CI/CD or manual deployment, each with clearly documented interfaces.
Make use of the full potential of AI
Arrange a free consultation. Together we will look at how you can use AI securely and in compliance with regulations.
Our offering at a glance
Four modules from the first use case to tested production operation.
AI Discovery & Design Sprint
Kick-off and use case focus: within 10 days, move from the initial ideation phase to a validated AI use case, including business impact, data availability and regulatory classification.
Sovereign LLM Integration
Productive operation and data sovereignty: we develop and integrate LLM-based applications such as support bots or knowledge bots. GDPR-compliant, without vendor lock-in, as SaaS, in the EU cloud or on-premises.
QA for AI
Quality and regulatory compliance: automated testing for hallucinations, prompt injection, bias, GDPR compliance and industry-specific regulations, supported by auditable documentation.
AI powered Legacy
Modernisation and knowledge utilisation: GenAI opens up existing data and document collections, for example through RAG-based retrieval bots in regulated environments.
Our offering at a glance
Four modules from the first use case to tested production operation.
AI Discovery & Design Sprint
Kick-off and use case focus: within 10 days, move from the initial ideation phase to a validated AI use case, including business impact, data availability and regulatory classification.
Sovereign LLM Integration
Productive operation and data sovereignty: we develop and integrate LLM-based applications such as support bots or knowledge bots. GDPR-compliant, without vendor lock-in, as SaaS, in the EU cloud or on-premises.
QA for AI
Quality and regulatory compliance: automated testing for hallucinations, prompt injection, bias, GDPR compliance and industry-specific regulations, supported by auditable documentation.
AI powered Legacy
Modernisation and knowledge utilisation: GenAI opens up existing data and document collections, for example through RAG-based retrieval bots in regulated environments.
Our offering at a glance
Four modules from the first use case to tested production operation.
AI Discovery & Design Sprint
Kick-off and use case focus: within 10 days, move from the initial ideation phase to a validated AI use case, including business impact, data availability and regulatory classification.
Sovereign LLM Integration
Productive operation and data sovereignty: we develop and integrate LLM-based applications such as support bots or knowledge bots. GDPR-compliant, without vendor lock-in, as SaaS, in the EU cloud or on-premises.
QA for AI
Quality and regulatory compliance: automated testing for hallucinations, prompt injection, bias, GDPR compliance and industry-specific regulations, supported by auditable documentation.
AI powered Legacy
Modernisation and knowledge utilisation: GenAI opens up existing data and document collections, for example through RAG-based retrieval bots in regulated environments.
Our offering at a glance
Four modules from the first use case to tested production operation.
AI Discovery & Design Sprint
Kick-off and use case focus: within 10 days, move from the initial ideation phase to a validated AI use case, including business impact, data availability and regulatory classification.
Sovereign LLM Integration
Productive operation and data sovereignty: we develop and integrate LLM-based applications such as support bots or knowledge bots. GDPR-compliant, without vendor lock-in, as SaaS, in the EU cloud or on-premises.
QA for AI
Quality and regulatory compliance: automated testing for hallucinations, prompt injection, bias, GDPR compliance and industry-specific regulations, supported by auditable documentation.
AI powered Legacy
Modernisation and knowledge utilisation: GenAI opens up existing data and document collections, for example through RAG-based retrieval bots in regulated environments.
Our offering at a glance
Four modules from the first use case to tested production operation.
AI Discovery & Design Sprint
Kick-off and use case focus: within 10 days, move from the initial ideation phase to a validated AI use case, including business impact, data availability and regulatory classification.
Sovereign LLM Integration
Productive operation and data sovereignty: we develop and integrate LLM-based applications such as support bots or knowledge bots. GDPR-compliant, without vendor lock-in, as SaaS, in the EU cloud or on-premises.
QA for AI
Quality and regulatory compliance: automated testing for hallucinations, prompt injection, bias, GDPR compliance and industry-specific regulations, supported by auditable documentation.
AI powered Legacy
Modernisation and knowledge utilisation: GenAI opens up existing data and document collections, for example through RAG-based retrieval bots in regulated environments.
Our offering at a glance
Four modules from the first use case to tested production operation.
AI Discovery & Design Sprint
Kick-off and use case focus: within 10 days, move from the initial ideation phase to a validated AI use case, including business impact, data availability and regulatory classification.
Sovereign LLM Integration
Productive operation and data sovereignty: we develop and integrate LLM-based applications such as support bots or knowledge bots. GDPR-compliant, without vendor lock-in, as SaaS, in the EU cloud or on-premises.
QA for AI
Quality and regulatory compliance: automated testing for hallucinations, prompt injection, bias, GDPR compliance and industry-specific regulations, supported by auditable documentation.
AI powered Legacy
Modernisation and knowledge utilisation: GenAI opens up existing data and document collections, for example through RAG-based retrieval bots in regulated environments.
What does your organisation gain?
AI for Enterprise makes your AI resilient for customers, auditors and internal stakeholders alike. With 7P, you not only secure your systems. You also strengthen four key levers with direct impact.
Time savings and efficiency: validated use cases, reusable QA components and established operating models move you from idea to production faster. Automated testing and continuous monitoring reduce manual verification efforts by up to 70%.
Regulatory assurance: auditable proof of compliance with GDPR, the EU AI Act, DORA, NIS2 as well as ISO/IEC 27001 and ISO/IEC 42001, traceable through reports and decision logs.
Operational security and scalability: monitoring, incident management and SLA and SLO capability for 24/7 operation, plus early warning systems for toxic content, data leaks and model drift with clearly defined response pathways.
Trust and adoption: governance, guardrails and human in the loop increase quality and acceptance across business units.
- No vendor lock-in: on-premises, EU sovereign cloud or private cloud
- Integration with CI/CD, ITSM and GRC with SLA capability
- Measurable KPIs, quality objectives and cost-saving potentials
- A data strategy for access, quality and protection from the start
- Expertise on demand: we close skill gaps and relieve your teams
Where do companies use AI for Enterprise?
AI for Enterprise shows its value where AI takes on business-critical responsibility: in regulated, data-sensitive and complex environments, whether for banks, public authorities or international industrial enterprises.
Financial services
An insurance provider integrates an LLM-based claims assistant. 7P conducts testing with industry-specific scenarios for hallucinations, bias and GDPR compliance. Result: significantly reduced incorrect responses and audit-ready documentation ahead of 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 validates GDPR compliance, access protection and response quality, delivering a 100% auditable go-live report in line with the EU AI Act.
Telecommunications and customer service
A telecom provider scales Conversational AI in its contact centre. With 7P QA modules, prompt injection and toxic content are automatically detected before rollout. An integrated monitoring solution ensures 99.95% availability in live operations.
Internal use cases in large enterprises
An international industrial group operates an AI knowledge assistant for more than 30,000 employees. AI for Enterprise ensures regulatory-approved operation in a private cloud, including continuous KPI reviews and governance integration.
Where do companies use AI for Enterprise?
AI for Enterprise shows its value where AI takes on business-critical responsibility: in regulated, data-sensitive and complex environments, whether for banks, public authorities or international industrial enterprises.
Financial services
An insurance provider integrates an LLM-based claims assistant. 7P conducts testing with industry-specific scenarios for hallucinations, bias and GDPR compliance. Result: significantly reduced incorrect responses and audit-ready documentation ahead of 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 validates GDPR compliance, access protection and response quality, delivering a 100% auditable go-live report in line with the EU AI Act.
Telecommunications and customer service
A telecom provider scales Conversational AI in its contact centre. With 7P QA modules, prompt injection and toxic content are automatically detected before rollout. An integrated monitoring solution ensures 99.95% availability in live operations.
Internal use cases in large enterprises
An international industrial group operates an AI knowledge assistant for more than 30,000 employees. AI for Enterprise ensures regulatory-approved operation in a private cloud, including continuous KPI reviews and governance integration.
Where do companies use AI for Enterprise?
AI for Enterprise shows its value where AI takes on business-critical responsibility: in regulated, data-sensitive and complex environments, whether for banks, public authorities or international industrial enterprises.
Financial services
An insurance provider integrates an LLM-based claims assistant. 7P conducts testing with industry-specific scenarios for hallucinations, bias and GDPR compliance. Result: significantly reduced incorrect responses and audit-ready documentation ahead of 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 validates GDPR compliance, access protection and response quality, delivering a 100% auditable go-live report in line with the EU AI Act.
Telecommunications and customer service
A telecom provider scales Conversational AI in its contact centre. With 7P QA modules, prompt injection and toxic content are automatically detected before rollout. An integrated monitoring solution ensures 99.95% availability in live operations.
Internal use cases in large enterprises
An international industrial group operates an AI knowledge assistant for more than 30,000 employees. AI for Enterprise ensures regulatory-approved operation in a private cloud, including continuous KPI reviews and governance integration.
Where do companies use AI for Enterprise?
AI for Enterprise shows its value where AI takes on business-critical responsibility: in regulated, data-sensitive and complex environments, whether for banks, public authorities or international industrial enterprises.
Financial services
An insurance provider integrates an LLM-based claims assistant. 7P conducts testing with industry-specific scenarios for hallucinations, bias and GDPR compliance. Result: significantly reduced incorrect responses and audit-ready documentation ahead of 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 validates GDPR compliance, access protection and response quality, delivering a 100% auditable go-live report in line with the EU AI Act.
Telecommunications and customer service
A telecom provider scales Conversational AI in its contact centre. With 7P QA modules, prompt injection and toxic content are automatically detected before rollout. An integrated monitoring solution ensures 99.95% availability in live operations.
Internal use cases in large enterprises
An international industrial group operates an AI knowledge assistant for more than 30,000 employees. AI for Enterprise ensures regulatory-approved operation in a private cloud, including continuous KPI reviews and governance integration.
Where do companies use AI for Enterprise?
AI for Enterprise shows its value where AI takes on business-critical responsibility: in regulated, data-sensitive and complex environments, whether for banks, public authorities or international industrial enterprises.
Financial services
An insurance provider integrates an LLM-based claims assistant. 7P conducts testing with industry-specific scenarios for hallucinations, bias and GDPR compliance. Result: significantly reduced incorrect responses and audit-ready documentation ahead of 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 validates GDPR compliance, access protection and response quality, delivering a 100% auditable go-live report in line with the EU AI Act.
Telecommunications and customer service
A telecom provider scales Conversational AI in its contact centre. With 7P QA modules, prompt injection and toxic content are automatically detected before rollout. An integrated monitoring solution ensures 99.95% availability in live operations.
Internal use cases in large enterprises
An international industrial group operates an AI knowledge assistant for more than 30,000 employees. AI for Enterprise ensures regulatory-approved operation in a private cloud, including continuous KPI reviews and governance integration.
Where do companies use AI for Enterprise?
AI for Enterprise shows its value where AI takes on business-critical responsibility: in regulated, data-sensitive and complex environments, whether for banks, public authorities or international industrial enterprises.
Financial services
An insurance provider integrates an LLM-based claims assistant. 7P conducts testing with industry-specific scenarios for hallucinations, bias and GDPR compliance. Result: significantly reduced incorrect responses and audit-ready documentation ahead of 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 validates GDPR compliance, access protection and response quality, delivering a 100% auditable go-live report in line with the EU AI Act.
Telecommunications and customer service
A telecom provider scales Conversational AI in its contact centre. With 7P QA modules, prompt injection and toxic content are automatically detected before rollout. An integrated monitoring solution ensures 99.95% availability in live operations.
Internal use cases in large enterprises
An international industrial group operates an AI knowledge assistant for more than 30,000 employees. AI for Enterprise ensures regulatory-approved operation in a private cloud, including continuous KPI reviews and governance integration.
Your contact
Michael Heß
Area Manager Software Development
You share your project details with our experts. If required, we sign an NDA. You then receive a project proposal including cost estimates, timelines and CVs.
Frequently asked questions about AI for Enterprise
Which regulations does AI for Enterprise cover?
EU AI Act, GDPR, ISO 27001, NIS2, ISO 42001 and other regulations. You receive auditable proof and traceable documentation for them.
Can additional checks be added?
Yes, for example real-time monitoring or specific compliance checks for your use case.
How is AI for Enterprise integrated into your systems?
Via API, CI/CD or manual deployment, each with clearly documented interfaces.
Frequently asked questions about AI for Enterprise
Which regulations does AI for Enterprise cover?
EU AI Act, GDPR, ISO 27001, NIS2, ISO 42001 and other regulations. You receive auditable proof and traceable documentation for them.
Can additional checks be added?
Yes, for example real-time monitoring or specific compliance checks for your use case.
How is AI for Enterprise integrated into your systems?
Via API, CI/CD or manual deployment, each with clearly documented interfaces.
Make use of the full potential of AI
Arrange a free consultation. Together we will look at how you can use AI securely and in compliance with regulations.