CPH Agentic
CPH Agentic provides end-to-end AI process automation services for Danish organizations, identifying which internal workflows are suitable for automation, building custom solutions, integrating them with existing systems, and managing ongoing operations. The company focuses on automating entire or partial daily processes rather than individual employee productivity tools, freeing staff for higher-value work.
- Artificial Intelligence
- Enterprise Software
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Most organizations use AI only through individual employee tools like ChatGPT and Copilot, which help with daily tasks but leave entire internal processes manual and fragmented. This limits the potential gains from AI, as larger benefits arise when AI becomes a direct part of company workflows and can run whole or parts of processes automatically without continuous human intervention.
Solution
CPH Agentic provides end-to-end AI process automation services for organizations. The company identifies which processes are suitable for AI, builds custom solutions tailored to each organization's needs, integrates them with existing systems, and manages ongoing operations afterward. This approach allows entire or partial daily processes to run automatically, freeing employees to focus on higher-value work where humans create the most impact. The company positions itself as an external AI team for organizations that do not have the resources or need to build their own in-house AI department.
Target Audience
Primary customers are Danish organizations, particularly small and medium-sized companies that lack the resources or need to build their own in-house AI teams but want to benefit from AI-driven process automation.
Features
- Process discovery and assessment to identify where AI creates the most value in an organization
- Custom AI solution development tailored to specific internal workflows
- Systems integration connecting AI solutions to existing enterprise infrastructure
- Ongoing operations management and maintenance of deployed AI systems
- Workflow design that ensures solutions fit how the organization actually operates day-to-day
- Focus on process-level automation rather than individual employee productivity tools