PathHub AI identifies the obligations of your initiative and schedules them with lead time. Then you collect evidence and management approvals, recurring obligations continue in the compliance calendar, and management sees the status of all initiatives on one page.
Start Compliance Check →Obligations do not end with the project. This is how PathHub supports them from the first plan into day-to-day operations.
From the description of the initiative and a library of more than 100 rules for Germany, Austria and Switzerland.
Works council, data protection impact assessment or registrations land in phases and tasks in time.
Status, criteria met and evidence as a file, link or note for every obligation.
Management approves with one click, even as a free viewer. Name and date are recorded in the history.
Safety instructions, audits and reviews in the compliance calendar, with reminders to the person in charge.
Overview with a traffic light per initiative and the PDF report “Compliance status” for management or auditors.
Compliance violations in projects are expensive. Very expensive. A forgotten data protection check can lead to fines of up to 20 million euros or 4% of annual turnover. A missing works council consultation can stop an entire project. An overlooked industry standard can mean the finished product cannot be brought to market.
The problem: Most project managers are not compliance experts. They know the obvious requirements, but the industry-specific, hidden, and recently introduced regulations fall through the cracks. Not due to negligence, but simply because there are too many sets of rules to keep them all in mind.
PathHub AI solves this problem by having the AI automatically check your project for all relevant regulatory requirements and integrating the corresponding compliance tasks directly into your project plan.
PathHub AI identifies compliance requirements in four systematic steps:
The AI analyzes your project description and identifies industry, project type, data involved, and affected groups of people. From this, it deduces which regulatory frameworks are relevant.
Based on the context, PathHub AI identifies all relevant laws, standards, and policies: GDPR, ISO standards, industry-specific regulations, labor law requirements, and internal company policies.
For each identified requirement, the AI creates specific tasks: Which check must take place when? Who needs to be involved? What documentation is required? These tasks are scheduled directly into the appropriate project phase.
PathHub AI suggests the right contacts for each compliance task: Data Protection Officer, Works Council, Compliance Officer, Legal Department, or external consultants.
Obligations per initiative, with status, matching rule and evidence, all the way to the evidence report.
Done, in progress, open or not relevant with a reason. The evidence report can be exported as a PDF.
File evidence as a file, link or note right on the obligation. Where a rule from the library clearly fits, PathHub suggests it.
More than 100 regulations, filterable by country, industry and company size, with a check for your workspace.
Real views from a sample Path (launching a SaaS product module), not mock-ups.
Non-compliance is expensive. Early integration saves time, money, and headaches.
Here's a typical compliance catalog that PathHub AI automatically generates for an IT migration project at a mid-size bank:
| Requirement | Regulation | Category | Responsible | Phase | Priority |
|---|---|---|---|---|---|
| Data Protection Impact Assessment | GDPR Art. 35 | Data Protection | DPO | Planning | Critical |
| IT Risk Analysis per BAIT | BAIT/MaRisk | IT Security | CISO | Planning | Critical |
| Change Management Documentation | ISO 27001 | Process | PM | Execution | High |
| Works Council Notification | BetrVG §87 | Labor Law | HR | Planning | High |
| Access Rights Concept | GDPR/BAIT | Data Protection | IT Security | Execution | Critical |
| Data Migration Test Report | BAIT | IT Operations | Test Manager | Testing | High |
| Audit Trail for System Changes | MaRisk AT 7.2 | Documentation | PM | All Phases | Medium |
This catalog was generated automatically by PathHub AI based on the project description "Core banking system migration from on-premises to private cloud".
See how PathHub AI transforms compliance management from a time-consuming burden into an automated advantage.
The AI identifies requirements from four central compliance categories and ranks them by relevance for your project:
Even experienced project managers regularly overlook compliance requirements. The most common blind spots:
When introducing new systems that process personal data, a DPIA is often mandatory. If forgotten, significant fines are threatened and processing must be stopped.
Projects that change work processes or process employee data require the involvement of the works council. A forgotten consultation can delay the project by months.
From June 2025, the German Accessibility Strengthening Act (BFSG) applies. Digital products and services must be accessible, but many projects do not plan for this from the start.
Start your compliance analysis right at project kickoff, not just before go-live. PathHub AI automatically identifies relevant standards like GDPR, ISO 27001, or industry-specific regulations from your project description: the earlier you start, the cheaper adjustments will be.
Non-compliance has real consequences. This matrix shows the most common risk areas:
| Violation Type | Financial Risk | Legal Risk | Reputational Risk | Project Impact |
|---|---|---|---|---|
| GDPR Violation | Up to €20M / 4% revenue | Investigations, lawsuits | Media coverage, trust loss | Project halt possible |
| Missing Building Permits | Demolition costs + fines | Criminal proceedings | Negative press | Complete stop |
| BAIT Non-Compliance | BaFin (German Federal Financial Supervisory Authority) special measures | Regulatory findings | Customer uncertainty | Rework required |
| Labor Law Violation | Back pay, damages | Works council complaints | Employee frustration | Delays + resistance |
| ISO Non-Conformity | Certification loss | Audit findings | Customer contract risk | Quality rework |
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