Task and data assessment
A task and data-use assessment: what the team can safely try, what needs review and what should stay out of the workspace.
All capabilities
Useful AI in everyday work
AI adoption & team training
We help teams adopt AI with task assessment, customer-owned workspace setup, supported knowledge connections and practical training.
Rubix / ServicesSystem 01
01What we deliver
Built around your product.
We plan the engagement around your goals, team, and technology. These are the parts we most often bring together for this kind of work.
Workspace and project setup
Customer-owned workspace configuration and task-specific project guidance, with access and sharing decisions made by your administrator.
Knowledge and system connections
Supported knowledge and system connections, checked against source permissions and the actual tasks the team needs to complete.
Team training and handover
Hands-on training with reusable task instructions, review checklists and a handover guide. Assess usefulness on representative work rather than attendance alone.
Is this the right starting point?
For teams that want practical help using ChatGPT and AI tools in everyday work, before investing in a custom application. A useful first engagement focuses on a small team and a few recurring tasks.
Where it may not fit
Training cannot fix inaccessible knowledge or unclear processes. Some tasks are better served by existing software or a checklist. Workspace features and integrations depend on the customer's plan, permissions and provider availability.
From first conversation to handover
- Choose the team, recurring tasks and current way of working.
- Agree on data boundaries and configure the supported workspace with your administrator.
- Practise on approved examples, compare the result with the existing process and teach verification.
- Review adoption and unresolved gaps; recommend custom integration only where it has a clear job.
Relevant published work
Our Document OCR work illustrates experience connecting AI with a reviewable workflow. It is engineering evidence, not a workplace-training case study.
02Common questions
What clients usually ask first.
Where should our team start with AI?
Start with a few recurring tasks and approved example inputs. We help assess fit, set up supported tools and teach the team how to verify the result before expanding adoption.
Do we need custom software first?
No. Start with supported workspace features, useful task instructions and team training. A custom workflow becomes relevant when the work needs integrations, repeatable controls or a dedicated interface.
Who owns the accounts?
Your business owns its workspace and provider subscriptions. We agree on temporary implementation access and handover. Subscription and API usage costs are separate from Rubix's service fees.
Can you connect our internal knowledge?
We first assess sources, permissions, freshness and the questions your team needs answered. Where supported integrations are insufficient, we can scope a separate knowledge or retrieval engagement.
What happens after training?
We review the agreed tasks with the team, document remaining issues and propose optional follow-on help. The goal is repeatable useful work with human verification, not reliance on a consultant for every prompt.