Solution · Smart City

Urban governance agent platform.
Let frontline staff talk to data directly.

For the mayor's office, 12345, emergency response and gov services. AI-OS provides models and knowledge, AiDo provides 4 city agents, Private Cloud provides the compliance foundation — delivered end-to-end, MLPS 2.0 Level 3 compliant.

Pain Points

Ticket backlog. Data silos. Slow emergencies.

Three classic smart-city headaches. AI + middle platform doesn't replace existing systems — it glues them.

12345 ticket backlog

Citizen hotline gets flooded — slow dispatch, dropped callbacks, duplicate tickets hard to detect.

Data trapped per bureau

City management, housing, transport, emergency and gov filings all run their own systems. Cross-bureau data still moves by spreadsheet.

Slow emergency coordination

Incidents need cross-bureau, cross-level, cross-system coordination — on-site command runs on walkie-talkies and chat groups.

Solution Blocks · Four modules

12345 / filings / emergency / city dashboard.

Not just one chatbot. Four modules unified by data and identity — one contract for the city office.

12345 ticket agent

Auto-classifies citizen calls, detects duplicates, generates tickets, dispatches cross-bureau; long-tail issues archived to a long-term ticket base.

  • Smart classification + duplicate detection
  • Cross-bureau dispatch and callback
  • Trend analysis and high-frequency issue tracing

Gov filing assistant

Unifies filings (permits, social insurance, housing, tax) scattered across systems into one conversational entry.

  • Pre-validation + auto-fill
  • Real-time filing status query
  • AI-assisted decisions at approval nodes

Emergency command agent

When incidents hit — pulls together traffic, weather, fire, medical and public security data; gives the commander an agent workbench.

  • Auto-formed war rooms (audio/video + tickets)
  • AI-recommended response SOPs
  • Live situation map + decision log

City operations dashboard

12345, filings, emergency, gov data all flow into one dashboard. AI gives operational suggestions and anomaly alerts.

  • Cross-bureau KPI system
  • Auto anomaly alerts
  • Weekly / monthly review reports

Compliance

The compliance baseline for government customers.

MLPS Level 3, data in perimeter, role separation — not slide bullet points, but items on the deployment checklist.

MLPS 2.0 Level 3

Secret vault, separation of duties, audit logs, backup-restore all conform to MLPS requirements.

Data stays in perimeter

Deploys on government cloud or customer-dedicated datacenter — AI calls and data flow stay closed-loop in the domain.

Three-role separation + dual review

System admin / security officer / auditor separated. High-risk ops go through dual review.

Product Matrix

Behind the solution: AI-OS + AiDo + Private Cloud.

Can be staged: start with a single agent, then platform, then infrastructure.

AI-OS

Provides model gateway, knowledge space, agent governance, ops dashboard and permission audit foundation.

AiDo Studio + AiDo

Four city agents (12345 / filings / emergency / dashboard), iterated and released continuously via Studio.

Shuke Smart Cloud

The whole solution deployed in customer datacenter or government cloud — MLPS 2.0 Level 3, data never leaves the perimeter.

Delivery

Four steps, from diagnostic to ongoing ops.

  1. Scenario diagnostic

    Survey current state with the mayor's office, 12345 center, emergency bureau, gov service hall. Mark pilot departments and first batch use cases.

    ~2-3 weeks

  2. Private / gov cloud onboarding

    Deploy AI-OS + AiDo to gov cloud or customer-dedicated datacenter. Connect identity, permissions, data sources.

    ~4-6 weeks

  3. First batch agents live

    Start with the 12345 ticket agent and gov filing assistant. Run 1 month measuring answer rate, completion rate, citizen satisfaction.

    ~6-8 weeks

  4. Scale & continuous ops

    Add emergency, cross-bureau dashboard, specialized agents. Monthly data reviews and quarterly roadmap.

    Ongoing

FAQ

Integration / compliance / safeguards / pilot — four common questions.

Can we connect to our existing 12345 platform?
Yes. We provide API adapters to mainstream 12345 systems (Huaxin Yongdao / Taiji / proprietary ERP), no need to replace. AI-OS can plug in as an 'augmentation module' beside 12345, or serve as the next-generation platform.
How is data compliance guaranteed? Can we use it for classified data?
We recommend deploying on government cloud or customer-dedicated datacenter. AI calls and data flow stay in domain. Classified systems require a dedicated security review — typically combined with physical isolation and one-way data exchange in customer facility.
Are there safeguards on AI-recommended actions?
All AI suggestions are labeled 'AI-assisted'. High-risk operations (livelihood-impact / penalties / public safety) must go through human approval nodes. Approval logs and decision rationale are recorded end-to-end.
Can we pilot one or two scenarios before full rollout?
Strongly recommended. We suggest starting with the 12345 ticket agent, running for 1-3 months to measure impact, then deciding whether to expand to filings, emergency, dashboard. Clear operational gains usually show up within three months.

Get in touch

Start with a 12345 effectiveness review.

Global DT offers a free 2-3 hour planning session — we walk through your 12345 / filings / emergency state and only then recommend a path forward.