Useful, and safe to rely on

How we connect to your systems, choose AI models, protect data, and what happens when a workflow fails.

Four design principles

Least privilege
Read first, write later. Each workflow gets only the permissions it needs, documented in the solution design.
People approve key actions
Quotes, payments, outbound messages and deletions wait for approval by default.
Traceable results
Every AI-produced field records its source and processing time, so any issue can be traced to its step.
Fail to a person
When information is missing, rules conflict or a connection fails, the workflow stops and notifies an owner — it never skips silently.

Connections: Official APIs first; then email protocols, shared sheets and read-only database accounts; screen automation (RPA) only when nothing else works.
AI models: Chosen per task and data requirements: China-hosted models such as DeepSeek or Qwen, international models such as Claude or GPT, or privately deployed open-source models for sensitive data.
Where it runs: On cloud servers we manage, or deployed in your own servers or cloud account.
Monitoring & logs: Every run is recorded: what was processed, the result and who approved it. Exceptions alert the owner in real time.

Used only for your project: Samples and system data you provide are used only for your project — not for other clients and not to train models.
Written into the contract: Confidentiality, data access scope and how data is deleted after the project are specified in the contract.
Anonymized samples first: We recommend anonymized samples during assessment and design, with real data access opened only after you engage us.

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