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Agent Family

The Lingxi AI Agent Family

Each agent comes from real customer demands — and below you can see them running inline, no click-through needed.

№ 01 · All agents

Four product lines, one engineering foundation

№01Lingxi · Chengtu
GAFocus 2026Travel / Airline

Booking Agent

Hand the messiest airline ticket workflows to an auditable AI

  • 01

    Peak-hour rescheduling

    During international peak seasons, a single reschedule takes human agents ~12 min. With the agent, it drops below 90 sec with 8× fewer errors.

  • 02

    Multi-carrier rule differences

    One order spans multiple cabins, carriers, and fuel surcharges. The agent reads NDC/GDS rules live and returns viable reschedule options with fare diffs in one pass.

See workflow / integrations / guardrails

LINGXI · CHENGTU

Booking Agent · Order #ED-884219

LIVE

Customer request

"Change my Apr 25 Qingdao flight to Apr 28, keep under ¥1,200, preferably after 8am."

Agent execution

Fetch travel policy · Lingxi KB

0.4s

Airline re-ticket · 3 candidates

1.2s

Rank by budget+pref · Pick A

0.3s

Await finance approval (Chengtu client #F-8821)

pending

Recommended A · rule-checked

CA1893TAOPEK

¥1,180

in budget

Policy passafter 8ame-itinerary

3.0×

Throughput

94%

Hit rate

2.1s

Avg latency

№02Lingxi · Jiangzuo
CustomCross-industry / Custom

Assistant Rollout

OpenClaw / Hermes enterprise rollout + Skill customization

  • 01

    Embedding into dev team workflow

    A tech org wants OpenClaw wired to internal Git / Jira / Wiki. We do source-level customization — private code stays in domain, PR summaries automated, docs retrieval permission-aware.

  • 02

    Back-office agentification

    Hermes as an office assistant, integrated with OA / email / calendar. We deliver connectors, Skill orchestration, compliance audit — customers configure business rules.

See workflow / integrations / guardrails

LINGXI · JIANGZUO

Assistant · Task #T-2261

RUNNING

User command

"Summarize this month's complaints to QA, attach related tickets and trends."

Skill chain

CRM

Query CRM complaints · 17

0.20s
OA

Link OA tickets · 14

0.30s
Chart

Render trend chart

0.41s
Docs

Compile DOCX + push

0.58s

Artifact · delivered

Complaints-2026-04.docx

17 complaints · 14 tickets · 2 charts · pushed to QA

DOCX

5

Systems

94%

Success rate

35min

Avg saved

№03Lingxi · Sizhang
BetaFinance / Accounting

Finance Agent

Business-finance integration — make the numbers talk

  • 01

    Multi-subsidiary consolidation

    12 subsidiaries, monthly close. The agent pulls ERP data, identifies intercompany transactions, generates elimination entries — 3-day process compressed to 4 hours.

  • 02

    Live financial Q&A

    CFO asks — "South China gross margin last month vs. last year?" — and gets the answer plus attribution (category / customer / cost item) instantly.

See workflow / integrations / guardrails

LINGXI · SIZHANG

Finance Agent · 2026-04 close

LIVE

This month's task

Audit ¥480k sales expense vouchers — surface misclassifications, duplicates, and tax mismatches.

Reconciliation trace

Pull ERP vouchers · 234

0.31s

OCR invoices · 41

0.84s

Cross-check · 3 anomalies

0.22s

Flagged anomalies

Misclass.Hospitality → Travel
¥8,200
DuplicateSame voucher as 3/28
¥1,500
Tax mismatchVendor changed
¥3,400

99.2%

Accuracy

96%

Anomaly hit

40h

Hours saved

№04Lingxi · Yuanheng
GAEnergy / Power

Energy Agent

AI augmentation on top of 8 years of energy management

  • 01

    Park-level anomaly detection

    An industrial park reports consumption every 15 min. The agent flags anomalies against historical curves + operating conditions, catching 20+ leakage events monthly — avoiding millions in annual loss.

  • 02

    One-sentence energy report

    Plant manager asks — "who exceeded consumption in Workshop 3 this month?" — and gets results split by shift / process, skipping the IT reporting pipeline.

See workflow / integrations / guardrails

LINGXI · YUANHENG

Energy Agent · Plant B3 monitor

ANOMALY

Alert trigger

Plant B3 peak load spiked +38% at 23:00 last night — triggering multi-variable attribution.

48h load curve

-48h↑ 23:00 peaknow

Attribution trace

Fetch SCADA · 48h window

0.15s

Multi-var attribution

0.22s

Compare p95 baseline

0.09s

Diagnosis

Cooler #2 missed scheduled stop + idle exhaust fan. Adjust DCS schedule — est. ¥42k/month saved.

91%

Diag. acc.

4.2万¥

Monthly save

0.5s

Alert latency