Digital Knowledge assistant
Turn 20 years of experience into a digital expert — in just 1 week
Do you have people in your company without whom production simply wouldn’t run?
We digitalize them — their experience, their way of working, their know-how.
Forever. Available 24/7.
Every company has its key people
Today we make their knowledge operational
In every industrial organization, critical know-how lives with a small group of experienced operators, technicians and engineers.
Their decisions, shortcuts, and practical understanding keep production running — but this knowledge is rarely documented in a way that supports daily operations.
At Energy Academy, we turn this operational experience into a living, managed knowledge system that supports people on the shop floor — not just during training, but during real work.
Today, this starts with a digital operator.
Tomorrow, it evolves into a fully integrated Smart Knowledge Integration System (SKIS).
From expert knowledge to a digital colleague
Our current solution transforms experienced employees into a Digital Colleague — a practical, always-available knowledge assistant based on real field experience.
Using a video-first approach, expert knowledge is captured directly during normal work:
maintenance tasks
troubleshooting
inspections
start-up and shutdown procedures
This knowledge is structured, validated and made instantly accessible through natural language queries — exactly where and when it is needed.
The result is not documentation for the archive, but actionable operational support.
20 years of experience — structured and accessible within days
Operational knowledge is not lost overnight — it slowly disappears through retirements, job changes and undocumented practices.
With our structured capture and onboarding methodology, years of practical experience can be transferred into a usable digital knowledge base in a very short time frame.
This allows organizations to:
reduce dependency on individual experts
shorten onboarding time for new staff
prevent repeated mistakes
stabilize operational quality across shifts and teams
What used to exist only in people’s heads becomes part of the organization.
Designed for daily operations — not for training portals
Digital Walter is not a Learning Management System and not a generic AI chatbot.
It is built specifically for operational knowledge:
based on validated internal sources only
linked to real installations, procedures and assets
focused on execution, not theory
Users don’t browse manuals or search folders. They ask questions and receive context-specific answers, directly traceable to the original source (document, procedure or video moment).
If knowledge is missing, the system explicitly shows the gap — turning usage into continuous improvement.
Why LMS and generic AI fall short in operations
Traditional LMS platforms manage courses and content.
Generic LLM-based tools generate answers based on probability.
Neither manages operational knowledge.
Our approach is different:
knowledge is owned, governed and validated
structure and taxonomy come before digitalization
answers are based on real practice, not assumptions
usage data reveals weak spots and missing knowledge
Technology supports the system — it does not replace it.
Applicable across industrial sectors
Although our roots are in energy and process industries, the system is intentionally industry-agnostic.
Digital Colleague is successfully applied in:
manufacturing and assembly
maintenance-intensive production environments
utilities and infrastructure
process and chemical industries
Anywhere operational reliability depends on people, experience and correct execution, this approach delivers value.
Secure knowledge before it leaves your organization
Digital Colleague acts as the operational memory of your organization.
Decisions, troubleshooting paths and best practices are:
captured during real work
structured and governed
reused consistently across teams
This reduces risk, improves continuity and creates a stable foundation for future automation and AI-supported operations.
From Digital Colleague to Smart Knowledge Integration System
Digital Colleague is the first step.
The long-term vision is SKIS — a Smart Knowledge Integration System that connects:
expert knowledge
operational data
procedures, maintenance and training flows
This enables:
context-aware guidance during execution
AI-supported validation of procedures
early detection of risks and knowledge gaps
proactive support for safety, efficiency and asset lifetime
The system grows with the organization — from immediate shop-floor value to plant-level intelligence.
One system owner. One accountable partner.
Energy Academy is not just a software provider.
We act as system owner for operational knowledge, responsible for:
structure and architecture
governance and lifecycle
adoption in daily operations
Our goal is a working system that organizations can use independently — with real operational impact.
