Qos|cTaking information to a separate AI tool
- Export the relevant information.
- Transfer it to the AI tool and explain the context.
- Review the response.
- Enter the result back into the relevant system.
Another way to see the whole picture.
Qos is an operating system where people, information and AI can work together on the same work.
Connected in practice.Open to exploration.
What work happens in Qos?
The work, the information behind it and its outcome stay in one record.
How do people take part?
Everyone joins from their own surface; no one has to learn the whole system.
Where does AI come in?
It helps within permitted scope; the decision and its reasoning stay with people.
The detail pages open beneath these three questions; the home page does not carry them all.
All capabilitiesOne task, three perspectives
Renewing a document requested from a supplier
Illustrative scenario · Not a live product screen
The request, document and responsibility belong to the same work.
In this illustration, the requested document, reviewer and target date appear together. There is less need to move the same information between a conversation, a file and a task.
- Requested document
- Current certificate of conformity
- Owner / target date
- Purchasing lead · 18 September
- Related record
- Supplier document renewal request
Each person participates through their own responsibility.
In the proposed scenario, the supplier submits the document, an employee reviews it and an authorized person decides. If a partner needs to participate, their role and access are defined separately; not everyone needs to learn the whole system.
- Supplier
- Submit the document
- Employee
- Review its content
- Authorized person
- Decision and rationale
A suggestion to support review. Not a decision.
In the proposed use, AI could summarize gaps from permitted documents. The reviewer considers the suggestion and its sources; an authorized person approves where required. This particular AI flow has not yet been verified in the product.
- Permitted documents
- Sources for the suggestion
- Summary of gaps
- Illustrative AI suggestion
- Review / approval
- Human decision and rationale
Request → Document submission → Review → Recorded decision
A proposed flow, not a history of completed actions. This scenario has not yet been verified end to end in the product.One of the flows possible with Qos
From a conversation to a document, from the document to the employee.
Actual Qos interfaces · Synthetic QosDemo data · Existing demo archive
A document from existing information
The source appears alongside the draft. The content is reviewed and edited before publication.
Generation does not replace human review or the publication decision.
Details of this flow
The document reaches the employee
The employee opens the document through an assigned reading task, without searching through menus.
The task shown is pending; it is not evidence of a completed reading.
Details of this flow
Distribution and reading status
Distribution and reading are tracked separately. Sent does not mean read.
Recipients and their status can be followed alongside the document.
Details of this flow
The work is not taken to AI. AI works within it.
You can get help with the work at hand without gathering the same information or retelling its history. AI accesses permitted records; operations follow defined permissions and approval rules.
I|Q within Qos · A Qos connection through ChatGPT
With the connections Qos supports
- The records and work context are in Qos.
- A compatible AI tool accesses the permitted scope.
- A suggestion is presented for review.
- Where an operation is supported, it is recorded with the required permissions and approvals.
Limited to supported records and operations. Generating a suggestion and recording an action are different things.
About AI and automation →Qos capabilities
What work takes place in Qos?
From everyday follow-up to learning, field work and approvals, the work moves forward with its people, information and records.
Work tracking
Inspection finding → follow-up work → outcome record
Information and documents
Decision in a conversation → document → reading task
Learning and development
Information source → learning content → employee
Field work and resources
Area / asset → maintenance work → outcome record
Participation and communication
Conversation → related task → responsible person
AI and automation
Related record → AI suggestion → review / authorized action