Onboarding Assistant: Productive from day one.

In today’s working world, time is the scarcest resource. Yet new employees and those taking on new roles often spend weeks or months wading through unstructured network drives or waiting for feedback from overworked colleagues. The Onboarding Pilot transforms your collective corporate memory into an active, structured onboarding tool – and guides new employees confidently through their new responsibilities.

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The challengeTraditional onboarding doesn’t fail because of a lack of will

Every week that skilled staff are not fully operational results in a measurable loss of productivity and increases the risk of errors in the early stages. Traditional onboarding often fails because, although knowledge is available, it is not presented in a way that enables action or is tailored to specific objectives.

until a new employee is fully productive

of the annual salary can cost a poor onboarding process

Employees become productive more quickly with structured onboarding

  • Activating the corporate memory: Practical knowledge, tried-and-tested solutions and common pitfalls are identified and distilled into the key steps for getting started in the new role.
  • Role-based knowledge twin: A digital model of the function brings together process knowledge, real-world workflows and quality standards drawn from your team’s practical experience.
  • Knowledge Assistant 24/7: When you’re unsure, the built-in assistant provides immediate, context-sensitive answers, just like an experienced mentor right by your side.

Features at a glance5 steps to faster productivity

The Guided Onboarding Assistant combines the organisation’s collective memory with role-based knowledge twins and an AI-powered assistant. This makes onboarding structured, scalable and effective from day one.

1. Activate the corporate memory

The system captures not only static documents, but also your team’s valuable practical knowledge: tried-and-tested solutions, operational best practices and common pitfalls that aren’t found in any manual. New employees receive exactly the information they need to get started.

2. Role-based knowledge twin

A digital model of the role is created for each function – incorporating process knowledge, real-world workflows, responsibilities and quality standards drawn from your team’s practical experience. New employees can use this model as a guide, as it reflects the collective intelligence of the entire team.

3. Knowledge Assistant 24/7

When you’re unsure, the built-in assistant provides immediate, context-sensitive answers – just as if an experienced mentor were sitting right beside you, explaining each step of the task. When a new task arises, the system points you towards tried-and-tested solutions and the right people to contact.

4. Seamless transition to the Personal Learning Assistant

Whilst the onboarding pilot supports employees as they take their first steps in their new role, the Personal Learning Assistant provides ongoing support. Learning thus evolves from a one-off phase into an integral part of their day-to-day work.

5. Automatic response to changes

As soon as new tasks, process changes or errors arise, the system automatically identifies the need for learning – and immediately provides the relevant practical knowledge from the digital corporate memory.

Previously without great2know

  • It takes new employees an average of 6–8 months to reach full productivity
  • Experienced experts are constantly interrupted by queries – valuable working time is wasted
  • Every new employee makes the same mistakes because no one systematically passes on their implicit knowledge
  • The quality of onboarding depends on who happens to be available
  • Experts’ practical knowledge is captured once and organised as a role-based knowledge twin
  • New employees have access to tried-and-tested solutions, real-world workflows and common pitfalls from day one
  • The Knowledge Assistant handles standard queries – significantly reducing the workload on experts
  • Companies with a structured onboarding process see a reduction in time to productivity of up to 50%