The right knowledge when you need it: a shared knowledge base, digital learning, an AI assistant, and local superusers — a learning model that supports the solution throughout its entire lifecycle.
Classroom training alone is expensive and difficult to scale for a global organisation with many locations and roles. ProsessPilotene therefore uses a hybrid model: targeted training for local key staff combined with digital learning, updated documentation, AI guidance and expert help when needed.
The aim is not only to teach users the solution before go-live, but to establish a continuous learning model that supports it throughout its lifecycle.
One authoritative source, continuously updated and equally accessible everywhere users interact with the solution.
The same content everywhere — Dynamics 365, the customer portal, the mobile app and other interfaces.
Your organisation gets its own learning area on the ProsessPilotene portal, organised around roles, topics and specific work tasks.
Your organisation gets its own learning area on the ProsessPilotene portal. We use a lightweight model instead of SCORM-based LMS courses: a course consists of a few pages with explanations, screenshots, video, practical exercises and a simple completion confirmation.
Who has started training
Who has completed mandatory training
Which areas are actually used
Where more training is needed
The portal records completed training when rolling out to new countries, companies or departments.
An AI assistant answers using approved documentation around the clock and escalates to a human when needed.
The AI assistant answers using approved documentation and links to relevant guides or courses when a question needs more than a short answer.
People contribute where they create the most value.
Local ownership through role-based training for superusers, managers and key staff before each local rollout.
Role-based training for superusers, managers and key staff takes place before each local rollout.
Understand the processes the solution supports
Help colleagues in their day-to-day work
Know which learning resources are available and where to find them
Identify local training needs before they become problems
Act as a point of contact for the project
Training also focuses on how they support others.
The solution, documentation and learning content stay in sync — user adoption does not end at go-live.
“A feature is not fully delivered until its documentation and learning content have been updated.”
User adoption does not end at go-live — new staff, changing processes and ongoing development keep the learning model evolving.
Five steps from preparation to evaluation, repeated for every new rollout.
Identify affected roles, processes and features. Prepare documentation, learning paths and AI knowledge before training begins.
Targeted training for superusers, managers and key staff, delivered together with ProsessPilotene.
Digital training for end users through learning paths, available before and during go-live.
Documentation, the AI assistant, superusers and ProsessPilotene support users as needed once the solution is live.
Questions, support requests, searches and feedback identify improvements to incorporate into the knowledge base.
Seven roles share responsibility for making the learning model work, at ProsessPilotene and in your organisation.
ProsessPilotene delivery team
Delivers the solution and ensures documentation, learning content and AI knowledge are updated alongside it.
ProsessPilotene training and adoption
Owns the hybrid learning model: the learning portal, AI assistant and training strategy across the customer's organisation.
The customer's central project ownership
Embeds the learning model in the organisation and prioritises rollout to new countries, companies and departments.
Local managers
Ensures staff complete mandatory training and communicate local needs.
Local superusers
Supports colleagues day to day, knows the learning resources and acts as the local point of contact for the project.
End users
Completes digital training and uses the knowledge base, AI assistant and superusers when questions arise.
The AI assistant
Answers using approved documentation, links to relevant guides and courses, and escalates when a human is needed.
The result: less travel and repetition, a scalable model, the right knowledge when you need it, and a learning model that lasts beyond the project.