en:twine
ORIGIN ● EN:TWINE

Pragmatic
Specialists.

We founded en:twine because we were tired of the AI hype. AI is not an experiment or a topic to talk about endlessly; it should be a way to actually work smarter. No hype, no endless strategy decks, just concrete systems that improve processes.

We start with low-commitment assessments, simple BI dashboards, or small automations to prove value fast. Then we expand. Our senior team has hands-on operational experience and understands how business processes actually work. That means we only implement what truly makes a difference.

TEAM ● WHO WE ARE
Lynn Diepenbroek

Lynn Diepenbroek

Process, Data & People

Lynn bridges technology, process, and people. With a background in applied psychology, operational management, and data analysis, she makes sure AI solutions are clearly positioned, understandable for users, and aligned with the goals and processes of your business.

Dennis Verstappen

Dennis Verstappen

AI Architecture, Strategy & Commercial

Dennis translates complex AI questions into working systems. With a background in applied cognitive psychology, data science, and AI architecture, he combines technical depth and commercial insight with a sharp sense of what works in practice.

AI

The AI Team

ENGINEERING & EXECUTION

The third member of every project is our network of specialized AI agents. They help us with engineering, code generation, data processing, testing, and deployment. Think of it as extra engineering capacity that runs around the clock, supervised by Dennis and Lynn.

  • ● Full-stack engineering and system integration
  • ● Data pipeline architecture and deployment
  • ● Automated testing and quality assurance
  • ● Document processing and analysis at scale
METHODOLOGY ● HOW WE WORK

Phased delivery. Measurable solutions.

  1. Scan & Priorities

    WEEK 1-2

    We map processes, data, and bottlenecks to determine where AI can create value fastest.

  2. Roadmap & Scope

    WEEK 2

    We translate opportunities into a concrete plan with quick wins, technical choices, cost indication, and expected impact.

  3. Build & Integration

    WEEK 3-5

    We build the solution, connect systems, and make sure the workflow fits the way your team works.

  4. Validation & Iteration

    WEEK 6-7

    We test with real users, measure results, and define the next logical steps once the first value has been proven.

  5. Go-Live

    WEEK 8

    We support your team in learning how to work with the new solution and hand over the project.

JOIN USCONVERSATION

Ready to talk?

No pitch deck. No sales pressure. Just a 30-minute conversation about where AI can make a real difference in your organization.

Schedule a call