SCOPE
Enterprise AI Agent Delivery · Rev. 2026.09
COMPANY
YuanASI · Shenzhen
CAPABILITY
Consulting / Development / Integration

Enterprise AI delivery · advisory, development & integration

Put AI agents into
real business workflows.[01]

For companies that already have a defined, high-frequency workflow and need AI wired into existing systems: YuanASI handles assessment, integration, production deployment, and team handover.

DELIVERY PATH · FROM BUSINESS PROBLEM TO PRODUCTION HANDOFFDWG. DELIVERY-01
  1. 01Assess
  2. 02Validate POC
  3. 03Integrate
  4. 04Deploy
  5. 05Handover
01
Case libraryAcross 9 industries
26Cases
026,972GitHub Stars
02 / PRODUCTION EVIDENCEDWG. OMA-SERIES · SHEET 02 / 04
OPEN SOURCE RUNTIMEopen-multi-agent

Control the plan.
Prove every run.

Open Multi-Agent (OMA) generates and runs task DAGs inside TypeScript / Node.js applications, with plan and per-task approvals, execution receipts, traces and a Run Viewer, EvalSets, and task-level checkpoints. Your organization chooses and controls the models, tools, credentials, and deployment.

TASK-LEVEL CHECKPOINTLOCAL / OFFLINE / AIR-GAPPEDPROCESS / ACP AGENTS
RELEASE SNAPSHOT · v1.13.0

A real run replay, not a concept diagram

↗
The official Run Viewer exposes the task DAG and span waterfall, including status, assignee, tokens, tool calls, and the full trace.
01CONTROL

Plans you can govern

Preview and approve a plan or an individual dispatch, require roles and ordering, and gate every default-deny tool call.

02EVIDENCE

Runs you can inspect

Stable run IDs, execution receipts, and traces feed a local Run Viewer or export to OpenTelemetry.

03EVALUATION

Quality you can measure

Versioned EvalSets, scorers, offline reports, CI gates, and online sampling support regression decisions before and after release.

03 / DELIVERY SYSTEMSHEET 03 / 04

Enterprise AI agent systems
built to keep running—
with measurable business value.

Enter at the stage your organization is in today. Every stage has defined inputs, engineering outputs, and acceptance evidence.

STAGE01
DWG D-01
SCALE 1:1
VALIDATION GATEBUSINESS SCENARIOEVALSET + BASELINEPOCGO / NO-GO

Scenario validation & acceptance baseline

Prove the case before expanding the investment.

  • Business outcomes, data boundaries, and non-AI constraints
  • POC plus a versioned EvalSet and reference cases
  • Acceptance report and Go / No-Go recommendation
Explore scenario assessment →
STAGE02
DWG D-02
SCALE 1:1
CONTROLLED EXECUTIONINPUTPLANAPPROVAL GATETASK ATASK BTRACE

System integration & production control

Connect agents to existing systems and encode execution boundaries.

  • Dynamic or explicit workflows plus enterprise APIs and data
  • Plan approval, tool policy, timeouts, budgets, and task checkpoints
  • Trace / Run Viewer, regression evaluation, and CI gates
Explore system integration →
STAGE03
DWG D-03
SCALE 1:1
OWNERSHIP TRANSFERSOURCE + TESTSDEPLOYMENTRUNBOOK + SOPYOUR TEAMBUILD · OPERATE · TAKE OVER

Private deployment & team handoff

Run in your environment, then transfer operational ownership to your team.

  • Node.js / TypeScript engineering assets and private deployment
  • OpenTelemetry integration, runbooks, and troubleshooting paths
  • Source, tests, SOPs, and team training
Explore custom delivery →
INTAKE / NEXT STEP

Enter at the stage your organization is in today. Every stage has defined inputs, engineering outputs, and acceptance evidence.

→ Submit a project briefNo project scoped yet? Get an AI readiness report first
Content & business partnersContent partnerships · Business advisory · Ecosystem building
Alibaba
ByteDance
Baidu
WPS
Zhipu AI
10+ more
04 / INTAKE · SHEET 04 / 04

Ready to ship AI agents?
Start with a project brief.

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