Use case.

Onboarding Assistant.

Streamline the onboarding process by automating key elements, ensuring a consistent, informed, and smooth experience. This approach enables new employees to become productive more quickly, with minimal strain on resources, each and every time.

Consistent employee onboarding

Your benefits.

See what's in it for you.

Give new hires the ability to hit the ground running

Minimise the strain on resources during hiring periods

Deliver a consistent onboarding for all new hires

What you previously had to do.

  • Manually set-up and distribute training material based on role or departments.

  • Respond to enquires or answer any questions in-person in-case of inconsistencies, which can take time and effort.

  • Be required to track progress through notes or spreadsheets manually.

What this task now looks like.

  • Guided tours, videos, and documents can presented in an organized, step-by-step manner, customized to the employee's role in one place.

  • New employees can ask questions receive instant, accurate answers from the assistants vast knowledge database.

  • Every new employee receives the same high-quality, consistent onboarding experience.

You can choose from various LLMs.

For this use case, we recommend Azure GPT-3.5.

Streamline the onboarding process by automating key elements, ensuring a consistent, informed, and smooth experience. This approach enables new employees to become productive more quickly, with minimal strain on resources, each and every time.

Train from different data sources.

Data examples.

You can train your Generative AI assistant from different data sources. Here are some examples.

Company Policies and Guidelines

Contains all internal rules, procedures, and ethics guidelines, aiding in general compliance and behavior. In formats such as PDFs and text documents.

Training Material and Resources

Offers learning content for onboarding and ongoing education, supporting employee growth and alignment with company standards. In formats such as PDFs and text documents.

Knowledge Base and FAQs

Centralizes common queries and solutions, facilitating quicker resolutions and consistent information sharing. In formats such as PDFs, text documents or website pages.

This might also be relevant for you.

Further resources

We have collected a list of resources that might be helpful for you to learn more about this use case.

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We've been in the space of Natural Language Processing for many years before ChatGPT and pioneered open-source, data-centric AI. Solutions built on our platform follow IT, LLM and security best practices.

Enterprise LLM Service catalogue (ChatGPT-like assistants, LLM-enhanced workflows, …)
LLM Use Case, configurable via low-code designer
No-Code UI
API Endpoint
Secure Gateway, IT Best-Practices
Permissions, PII-Redaction
Cost Controls
Orchestration
Intent-Aware Routing
Functions
Retrieval Augmented Generation
Feedback and Confidence Scoring
Data
Mindmap-like structure
Search indices
Versioning
Automated data quality checks
LLM
Agnostic setups
Finetuning
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