AI that works in production.

For renewable energy companies

We identify useful applications, implement them in your workflows and support secure operations.

Data protection and security from the start

  • GDPRData protection
  • EU AI ActAI regulation
  • ISO/IEC 27001Information security
Vattenfall logo
Statex logo
GoSalty logo
LocaMarine logo
PrimeSurf logo
Helsi logo
Universität Hamburg Marketing GmbH logo

Move AI forward. Make informed decisions.

  • Where is AI worth using?

    AI is on the agenda. There are plenty of ideas, but no clear priority for where to start.

  • Which investment will pay off?

    You need to approve a budget while the benefits, implementation effort and running costs remain unclear.

  • How do we stay in control?

    AI tools are easy to adopt. Which data people may enter and who takes responsibility often remain undefined.

Our approach

Assess opportunities, plan investments and define responsibilities.

How we work

Start with one clearly defined workflow.

  1. Information search

    Specialists repeatedly look for the same information in documents, inboxes and separate systems.

  2. Manual transfer

    Data is copied between spreadsheets, tickets and business systems, then checked again.

  3. Person-dependent workflows

    Important steps only work when specific people and their knowledge are available.

  4. Unclear ownership

    There is no named owner for approvals, data access or ongoing operations.

Three steps to a production system.

  1. 01

    Identify useful work

    Priority 03Priority 02Priority 01

    AI analysis workshop

    With your specialists, we examine specific workflows, bottlenecks, data and decisions.

    Scope and outcome
    • Economic value
    • Technical feasibility
    • Risk and requirements
    • Ownership inside the team
    Outcome

    A clear decision on which application should be implemented first.

  2. 02

    Implement one workflow

    DataSystemsAI

    Implementation sprint

    We connect the right solution to existing systems and test it in daily work.

    Scope and outcome
    • Connect data and systems
    • Test with real cases
    • Define roles and approvals
    • Involve the people who use it
    Outcome

    An application used within a defined operational workflow.

  3. 03

    Operate and improve it

    MonitoringReviewImprove

    AI Ops

    We monitor the system, adapt it and transfer knowledge to the people responsible for it.

    Scope and outcome
    • Monitoring and maintenance
    • Technical adjustments
    • Data protection and EU AI Act
    • Training for internal owners
    Outcome

    An accountable operation with clear ownership.

Where to test AI in the energy sector

  1. Commercial asset management

    Invoice verification, reconciliation of contract and operating data, prepared investor reporting.

  2. Regulatory & tender agent

    Continuously monitor relevant requirements and tenders and classify them by portfolio and company relevance.

  3. Document & permitting workflows

    Extraction, completeness checks, deadline tracking and clean handovers between everyone involved.

  4. Internal knowledge assistant

    Make company knowledge from approved documents, policies and process descriptions securely queryable.

  5. Ticket & service agents

    Enrich, prioritise and prepare incoming cases for specialist handling.

  6. CI & research agents

    Monitor approved sources, check defined parameters and correlations, prepare recurring reports.

Data protection, security and the EU AI Act belong in the implementation.

EU Artificial Intelligence Act
DSGVOPrivacy by design
  • Limit data accessWe define which data the AI may use, where it is stored and who has access.
  • Approvals and responsibilityNamed owners retain business decisions. Roles and approval processes are documented.
  • Secure operationsWe align hosting, monitoring and maintenance with your IT and security requirements.

Our productive AI use cases.

The people responsible join the conversation.

Portrait of Stefan Hain

Energy sector and delivery

Stefan Hain

Stefan turns operational problems into clearly scoped applications and leads projects with management and specialist teams.

MBAI · PSPO I · PSM I · 10+ years in product and strategy in the energy sector
Portrait of Timo Rogge

Commercial assessment

Timo Rogge

Timo assesses value, priority and investment. He keeps the work focused on the operational result.

Engineering understanding · Business development · Energy industry experience
Portrait of Chris Meinl

Engineering and operations

Chris Meinl

Chris owns architecture, integration, data protection, security and ongoing technical operations.

8+ years in software engineering and architecture · CTO/tech co-founder · 15,000-user product

What we develop together.

  1. Priority

    You receive a reasoned order of applications based on value, effort, risk and feasibility.

  2. Implementation

    The selected workflow is built with existing data and systems and tested with real cases.

  3. Responsibility

    Business decisions, data protection, access and approvals are documented clearly.

  4. Operations

    Monitoring, maintenance and technical changes are planned with named owners.

Are we a good fit?

We work best with companies that want to solve a specific operational problem.

  • You lead or own responsibility in a renewable energy company.
  • A specific workflow needs to improve in a measurable way.
  • Business owners and IT can take part in selection and delivery.
  • Data protection, security and operations are part of the decision.

When another offer is a better fit.

  • You only want to buy a tool or book a single training session.
  • Business owners and IT cannot take part in the implementation.
  • Ownership for data access and operations cannot be assigned.

The first call takes just 20 minutes.

  1. Book a time

    Enter your name, email and phone number and choose a suitable slot in the calendar.

  2. Potential call

    We discuss the workflow, the systems involved and the intended result. Afterwards, both sides know whether a focused workshop makes sense.

  3. A successful AI strategy

    In the workshop that follows, we develop priorities, responsibilities and an implementation plan.

FAQ

What else would you like to clarify?

Does our data need to be perfect?

No. A clearly scoped workflow and access to the required data are enough to start. In the workshop, we determine what can be used now and what needs preparation.

What internal support does the project need?

We need an owner from the business, a contact in IT and time to test with real cases. We handle the technical build.

Can this run in our existing IT environment?

We assess that first. Existing systems, approval processes, hosting, data protection and security requirements inform the solution.

Do we always start with the analysis workshop?

No. We can start with an implementation sprint when the application is clearly scoped, data access is secured and owners are named.

Which workflow needs to improve?

In 20 minutes, we determine whether and how we can help.