12345 ticket backlog
Citizen hotline gets flooded — slow dispatch, dropped callbacks, duplicate tickets hard to detect.
Solution · Smart City
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
Three classic smart-city headaches. AI + middle platform doesn't replace existing systems — it glues them.
Citizen hotline gets flooded — slow dispatch, dropped callbacks, duplicate tickets hard to detect.
City management, housing, transport, emergency and gov filings all run their own systems. Cross-bureau data still moves by spreadsheet.
Incidents need cross-bureau, cross-level, cross-system coordination — on-site command runs on walkie-talkies and chat groups.
Solution Blocks · Four modules
Not just one chatbot. Four modules unified by data and identity — one contract for the city office.
Auto-classifies citizen calls, detects duplicates, generates tickets, dispatches cross-bureau; long-tail issues archived to a long-term ticket base.
Unifies filings (permits, social insurance, housing, tax) scattered across systems into one conversational entry.
When incidents hit — pulls together traffic, weather, fire, medical and public security data; gives the commander an agent workbench.
12345, filings, emergency, gov data all flow into one dashboard. AI gives operational suggestions and anomaly alerts.
Compliance
MLPS Level 3, data in perimeter, role separation — not slide bullet points, but items on the deployment checklist.
Secret vault, separation of duties, audit logs, backup-restore all conform to MLPS requirements.
Deploys on government cloud or customer-dedicated datacenter — AI calls and data flow stay closed-loop in the domain.
System admin / security officer / auditor separated. High-risk ops go through dual review.
Product Matrix
Can be staged: start with a single agent, then platform, then infrastructure.
Provides model gateway, knowledge space, agent governance, ops dashboard and permission audit foundation.
Four city agents (12345 / filings / emergency / dashboard), iterated and released continuously via Studio.
The whole solution deployed in customer datacenter or government cloud — MLPS 2.0 Level 3, data never leaves the perimeter.
Delivery
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
Deploy AI-OS + AiDo to gov cloud or customer-dedicated datacenter. Connect identity, permissions, data sources.
~4-6 weeks
Start with the 12345 ticket agent and gov filing assistant. Run 1 month measuring answer rate, completion rate, citizen satisfaction.
~6-8 weeks
Add emergency, cross-bureau dashboard, specialized agents. Monthly data reviews and quarterly roadmap.
Ongoing
FAQ
Get in touch
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.