AI project checklist
1) Define the business outcome. 2) Identify data sources. 3) Choose models and providers. 4) Design prompts and guardrails. 5) Decide on observability and SLOs.
Internal workspace
Simulated internal view for employees. Data on this page is synthetic and for demo purposes only.
Client accounts (demo data)
Example of internal customer information that should stay behind Zero Trust and never be exposed publicly.
| Client ID | Company | Region | AI use case | Cloudflare services | Status |
|---|---|---|---|---|---|
| CL‑1024 | Acme Retail Group | EMEA | Store assistant chatbot | Workers AI, R2, AI Gateway, Firewall for AI | Pilot |
| CL‑2038 | FinEdge Bank | North America | Knowledge search for analysts | AutoRAG, R2, Zero Trust, Gateway for AI | Discovery |
| CL‑3141 | Globex Manufacturing | APAC | Predictive maintenance assistant | Workers AI, R2, Zero Trust Network Access | In rollout |
Internal runbooks & notes
Security considerations
All internal tools must sit behind Cloudflare Zero Trust. Route AI traffic through Gateway for AI and apply Firewall for AI policies before exposing anything externally.
Data residency & compliance
Confirm data residency requirements with the customer. Document where training data, logs, and outputs are stored (R2 buckets, analytics, third‑party providers).