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ai agents for china operations

AI agents built and deployed for teams operating in and with China.

Gaper builds supervised production AI agents for teams running operations in or with China, and deploys them in your own cloud, on your data and auth. We connect Mandarin and English workflows, keep data inside your boundary, and hand over the code, evals, and runbook.

Book a free AI assessmentWhat is an AI agent?
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

An AI agent for China operations is production software that plans and takes multi-step actions toward a goal across systems used in or connected to China. Gaper builds it model-agnostic, deploys it in your own cloud on your data and auth, keeps data inside your boundary, and hands it to your team to own.

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

A demo that works on a laptop is one thing. An agent that runs across China-region cloud, respects cross-border data rules, handles Mandarin and English, and survives real users in production is the part that decides whether the project ships.

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.

Mandarin and English agents

Agents that read, reason, and act across bilingual documents, inboxes, and portals, so a single workflow serves both your China and global teams.

In-region cloud deployment

Deployed inside your own cloud, including China-region environments, so data residency and latency are handled where your systems already run.

Cross-border data handling

PII redaction, data minimization, and boundary-aware routing so the agent moves only what it needs across regions, with a full audit trail.

Tool and API actions

Agents that finish work: update the ERP, file the order, reconcile the ledger, wired in through your APIs and MCP on both sides of the border.

Evals and human gates

Automated evals, policy guardrails, and approvals on signatures, submissions, and other steps that carry operational or regulatory risk.

Observability and handover

Traces, cost, and quality dashboards, plus clean documentation so your team can see every run and own the system after launch.

Deployed in your cloud, inside your boundary

We deploy where your data already lives, including China-region cloud, so the agent inherits your security posture instead of widening it. Data stays inside your boundary, and only what is needed crosses regions, logged every time.

  • Runs in your environment, China-region or global
  • PII redaction and boundary-aware routing
  • Full audit trail on every cross-border step
Deploy target
OpenAIOpenAIClaudeClaudeGeminiGeminiSalesforceSalesforceSnowflakeSnowflakePostgresPostgres
SSORBACAudit logCloud

Model-agnostic, chosen for where you operate

We build on OpenAI, Claude, Gemini, or the right model for the task and the region, so model access constraints never block a workflow. The agent is wired to the models your environment can actually reach.

  • OpenAI, Claude, Gemini, or open models
  • Selected per task and per region
  • No workflow blocked by access limits
Production launchWhat Gaper hands over
doneWorkflow map

Inputs, systems, owners

doneAgent build

Tools, prompts, permissions

readyEval suite

Known cases and edge cases

readyGo-live runbook

Approvals, traces, rollback

Handoff packagesource codedashboardrunbookowner training

You own the code, evals, and runbook

A forward-deployed team works alongside yours and hands over a system you fully control. No black box, no lock-in, and nothing trapped outside your stack on either side of the border.

  • Clean, documented codebase
  • Evals and runbook handed over
  • Extend 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

Model and stack agnostic
OpenAIClaudeGeminiMCPYour APIsPostgresSnowflakeSalesforce
FAQ

Questions buyers ask us.

Can you deploy inside China-region cloud?+
Yes. We deploy in your own cloud, including China-region environments, with your security controls. Data stays inside your boundary, and only what a workflow needs crosses regions, with PII redaction and a full audit trail.
How do you handle cross-border data rules?+
We design for data residency from day one: data minimization, boundary-aware routing, redaction, and audit logging, so the agent moves only what it must across regions and you can show exactly what happened.
Which models do you use given access constraints in the region?+
We are model-agnostic. We build on OpenAI, Claude, Gemini, or open models, chosen for the task and for what your environment can reach, so model availability in a given region never blocks the workflow.
How long does it take to go live?+
A first working build can land in as little as 24 hours for a scoped workflow. Production timelines depend on integration, region, and governance needs, which we scope up front, typically weeks, not quarters.
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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