From AI strategy to implementation, Endila helps energy industry clients transition to being data driven organisations.


Every successful AI implementation starts with a clear strategy. Our AI strategy development services focus on:

  • Determining which specific technical, engineering or operational challenges should be prioritised for AI projects

  • In a portfolio context, identifying the most valuable AI use cases and aligning them with an overall digital strategy

  • Establishing governance frameworks with clearly defined roles, responsibilities and communication structures to ensure AI projects can succeed and grow

  • Defining the critical pathway to AI implementation while addressing cross-cutting issues such as infrastructure, competencies and organisation to streamline business transition towards a data-centric company


Establish a compelling vision

Understand your readiness

Address critical enablers

Decide your use cases

Decide the right sourcing route


The journey to becoming a data-centric company should always feature proof of concept projects. These projects have strategic alignment, a strong business case and a clear value proposition. Developing a proof of concept is a step-by-step process which has data and client involvement at its core.

  • Identify quantifiable technical, engineering or operational challenges which have sufficient data for AI

  • Explore the data and existing data management process to understand which technical approaches fit best the problem at hand

  • Prepare the data for modelling

  • Develop and test different AI models and workflows

  • Evaluate and refine towards the best possible solution

Business challenge definition


Data analysis and modelling


Data acquisition and understanding


Data preparation and transformation


Model evaluation and performance validation


Result communication and model deployment


Ready to take the next step?

Start working with us today and accelerate your AI journey.