CloudGoCase studiesIllustrative workflow
CONTEXT FOR INTERNAL AI
An assistant that starts
with your organization’s knowledge.
An illustrative integration workflow for bringing internal cloud context into an existing AI assistant.
THE QUESTION
“How can our internal assistant recommend an architecture that follows our standards?”
What context the assistant needs, how to supply it, and how your team will evaluate whether the response is relevant, traceable, and useful.
Explore CloudGo ContextThe context to bring together
Internal architecture and platform standards
Infrastructure and service relationships
Data handling constraints and business goals
Source materials the reviewer needs to see
FROM CONTEXT TO CLARITY
A practical output
Use the connected context to produce something a team can review, discuss, and carry into its next step.
The deliverables to work toward
A scoped set of knowledge sources
A context integration design
Example prompts and evaluation criteria
Data access and deployment requirements
ONE WORKFLOW. A MEASURABLE START.
Let’s make this workflow
specific to your team.
Bring the real constraints. We’ll help you define a useful starting point.
Plan your evaluation