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ai agent development for china operations

AI agents for teams operating in and with China.

Gaper builds and deploys supervised production AI agents for companies that run operations, supply chains, and customer work across China. We design the workflow, build the agent on the right model, deploy it in your cloud on your data and auth, and hand it over for your team to own.

Map the workflowBuild the supervised agentSandbox, verify, go live
gaper · workflow
TriggerNew support ticket
AgentClassify · look up order · decide
ActionRefund issued · case closed
−42%handle timeauto-resolved
In one sentence

AI agent development for China operations is the work of designing, building, and deploying supervised production AI agents that run inside a company's existing systems across China-facing workflows. Gaper builds the agent on OpenAI, Claude, or Gemini, deploys it in your cloud on your data and auth, and hands over the code, evals, and runbook for your team to own.

ProductionNot another demo
Model-agnostic
In your cloudYour auth, your data
You own itCode, evals, runbook
Why this matters

Teams operating in or with China juggle cross-border data rules, bilingual workflows, and time-zone gaps that stall AI pilots before they reach production. Closing that gap, inside your own systems and controls, is the entire job.

Production filter
  • Does it touch real systems?
  • Can the outcome be measured?
  • Where does human approval stay?
  • Who owns it after launch?
Free AI assessment

Book a free assessment. We will identify one high-leverage workflow, make the build-vs-buy call, and scope the smallest production release.

Map your first production agent
How we work

From strategy to production, owned by your team.

  1. 01

    Map the workflow

    We start from the documents, SOPs, portals, inboxes, and spreadsheets your team already uses, then turn the repeatable path into an agent workflow map.

  2. 02

    Build the supervised agent

    We build on OpenAI, Claude, Gemini, or the right model for the job, with evals, guardrails, citations, and human approval gates where risk matters.

  3. 03

    Connect the stack

    The agent gets the data layer, APIs, MCP tools, auth, and write-backs it needs to finish work inside your systems, not beside them.

  4. 04

    Sandbox, verify, go live

    We launch in a sandbox, verify every run, then move into supervised production with traces, rollback, and an owner.

What we build

Agents wired into the systems you already run.

Bilingual workflow agents

Agents scoped from your SOPs, portals, and inboxes that read and act across Chinese and English, turning a repeatable cross-border path into production runs.

Supply chain and sourcing agents

Agents that track suppliers, reconcile POs, flag delays, and chase documents across factories, freight, and customs records.

Cross-border data and RAG

Grounded answers over your documents and data with citations and freshness, deployed so cross-border data stays inside the boundary you set.

Tool and API actions

Agents that update the ERP, file the ticket, reconcile the ledger, and write back into your systems via your APIs and MCP.

Evals and human gates

Automated evals, policy guardrails, and approvals on signatures, submissions, and other risky steps before anything goes live.

In-region deployment and handover

Deployed in your cloud and region with SSO, RBAC, and audit trails, then handed over with code, evals, and a runbook your team owns.

Deployed in your cloud, not a third-party black box

We deploy where your data lives: your cloud, your region, your auth, and your controls. For China-facing operations that means cross-border data stays inside the boundary you set, and the agent inherits your security posture instead of widening your attack surface.

  • Runs in your environment and region
  • SSO, RBAC, and full audit logging
  • No data retention you did not ask for
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

You own the agent, and the code

A forward-deployed team works alongside yours across time zones and hands over a system you fully control. No lock-in, no vendor-only workflow trapped outside your stack, no dependency on us to keep it running.

  • Clean, documented codebase
  • Knowledge transfer built into delivery
  • Extend and run it without us
Handover state
handoff packageCode, runbook, evals, dashboard
owned by your team
Source repoRunbookEval suiteOwner training

Access your auth

Data your environment

Ops monitor or handoff

From pilot to production, the part most teams miss

Cross-border pilots are common; production agents are rare. We design for that gap from day one: evals before users, guardrails on risky steps, a sandbox run, and a real owner at launch so the agent survives real data and real edge cases.

  • Evals that gate every release
  • Fallback and escalation paths
  • A runbook, not a hope
Release gate
  1. 01Eval suiteknown + edge casespass
  2. 02Policy checkguardrails enforcedpass
  3. 03Human fallbacklow-confidence routedhold
  4. 04Releaseshipped to prodlive

p95 latency 1.2s

eval pass 12/12

rollback ready

Model and stack agnostic
OpenAIClaudeGeminiMCPYour APIsPostgresSnowflakeSalesforce
FAQ

Questions buyers ask us.

What does Gaper build for teams operating in or with China?+
Gaper designs, builds, and deploys supervised production AI agents for your China-facing workflows: sourcing, supply chain, bilingual support, and back-office operations. We build on OpenAI, Claude, or Gemini, deploy in your cloud and region, and hand over a system your team owns.
Do you staff out or supply developers in China?+
No. Gaper is not a staffing, recruiting, or remote-developer firm. We do not place or hire out engineers. We build and deploy the agent or system for you, wired into your specific stack, and hand over the code, evals, and runbook so your team owns it.
Who owns the agent after it ships?+
You do. We hand over a clean, documented codebase along with the evals and runbook. You can run and extend it without us, or keep us on under an SLA for observability and ongoing improvement. Your call, no lock-in.
How do you handle cross-border data and compliance?+
We deploy inside your cloud and chosen region with your security controls: SSO, RBAC, PII redaction, and full audit logging, so cross-border data stays inside the boundary you set. We scope data residency and governance up front with your team.
Production AI agents, shipped with an owner

Ready to deploy your first agent?

Book a free 30-minute assessment. We'll map the highest-leverage workflow and scope the smallest thing worth shipping, live in as little as 24 hours.

Build, deploy, runYour cloudYou own the code