SolutionAI for provincial administration
A concept for a provincial AI dashboard. It ranks proposed projects, turns rain and river readings into risk alerts, coordinates 174 sub-district health-promoting hospitals and routes memos to the right desk, with a person deciding at every step.
Riverbend
Move two mobile pumps and sandbags to Riverbend, warn village heads, and check the evacuation point.
Approve or edit in the monitorSample output from the live demo below. The district grid and readings are invented, and the scores, alert and summary come from the same rules you can try.
The context
A PAO decides where public money goes and coordinates services across many sub-districts. The AI opportunity is to bring its separate pictures into one view, so people act earlier and can show why.
A Provincial Administrative Organization is the province-level local government in Thailand, with an elected council and its own budget for services across the province.
Suphan Buri lies in Thailand's central plains, and the Tha Chin river runs through the province. Low ground can flood in the wet season and run short of water in the dry season.
Sub-district health-promoting hospitals give primary care close to where people live. In recent years many across Thailand have moved from the Ministry of Public Health to provincial administrations. The scope names 174 facilities.
Planning, disaster prevention, public health and administration all pass memos, requests and approvals between them.
General public background. Figures, systems and responsibilities will come from the PAO during discovery.
What is the current issue?
The issues under each area are working hypotheses to test with the PAO, not findings.
Costs, benefits and feasibility of proposed projects
AI opportunity. One scoring model with adjustable weights, a written reason for every rank, and side-by-side comparison.
See the project analysis screenEnvironmental data turned into risk views and alerts
AI opportunity. A risk score per sub-district from rain, water level and soil moisture, with an alert and a suggested action for a person to approve.
See the monitoring screenPatient groups, home-visit follow-up and service coordination
AI opportunity. One searchable view of all facilities, a coverage map, and referral routing that suggests where a case can be seen.
See the health coordination screenWorkflow automation and connected administrative systems
AI opportunity. AI triage of category, urgency and owner that people can override, an approvals queue and a due-time warning.
See the internal management screenHow can AI help?
Each workflow starts from work the PAO already does. Models score and sort, an AI agent drafts the alert, reason or suggestion, and a named person decides.
Planning staff compare proposals on the same factors, and every rank comes with its reasons.
Cost estimate, expected benefit, urgency and readiness, in one shared format.
Cost, impact, urgency and readiness are scored, with the weights set by planners.
Writes why each project ranks where it does and what would move it up.
Changes weights, compares pairs and overrides with a recorded reason.
A shortlist with scores, rationale and decisions, ready for budget discussion.
Tools the assistant calls
Illustrative function names for a pilot design.
Today
Proposals arrive in different formats and are compared by reading each one, with reasons kept in memory.
With AI
One scoring model with adjustable weights, a written reason for every rank, and a clear record of decisions.
The intelligence layer
The four areas share one data layer and one set of AI services, so each new use builds on what is already there. Data flows up; access rules and the audit log wrap every step.
Existing data, connected rather than retyped
Cleaned, mapped to place, protected
Models score and sort, the agent explains
Each role sees its own view
What would the user see?
The opening screen brings the four areas together: what is over a threshold, what is close to capacity, what waits for approval, and an assistant that answers in plain words and links to where you can act.
Provincial dashboardCommand centre overviewPrototypeAnswers, scores and alerts come from fixed rules and templates over invented data on this page, not from a language model. Day 9: fourth day of a storm.
Alert threshold 60. Change it, and approve actions, in the flood and drought monitor.
Flood risk 89 in Riverbend
Move two mobile pumps and sandbags to Riverbend, warn village heads, and check the evacuation point.
Flood risk 89 in Old Ferry
Move two mobile pumps and sandbags to Old Ferry, warn village heads, and check the evacuation point.
Flood risk 86 in Weir Crossing
Move two mobile pumps and sandbags to Weir Crossing, warn village heads, and check the evacuation point.
65 health centres in flood-alert sub-districts
Check home-visit routes and move urgent visits to neighbouring centres if roads close.
1 request close to the due time
M-101 Release of reserve budget for mobile pumps
3 more sub-district alerts above 60
Lower-scoring alerts are listed in the flood and drought monitor.
44 health centres at 90% of today's slots or more
New referrals are routed to centres with room first.
Home-visit vans for elderly care ranks first under balanced weights
Score 83 of 100. Confirm the budget line and prepare the tender pack.
Decision support only. Every alert, rank and routing is a suggestion until a named person approves it.
A short summary and the decisions that need them.
Ranked proposals with the reasons written down.
Risk by sub-district, alerts and actions to approve.
Facility capacity, home-visit coverage and referrals.
Key screens
Each screen works on its own, with its own controls and logic. Every project, budget, reading, facility record and memo here is synthetic and only illustrates the idea.
Move a weight and watch the ranking change, then select a project to read why it ranks there.
PrototypeScores are a weighted sum of sample factor scores; the rationale is written from templates. Projects and budgets are fictional.
Budgets are placeholders invented for this demo. Bars show how many points each factor adds.
PJ-01 Flood gate automation, river zones
Flood gate automation, river zones ranks 4 of 8 with a score of 68 out of 100.
Under the current weights its strongest factor is impact (9/10), which adds 22.5 points. Its weakest is cost (4/10).
Readiness is low, so a survey, design or agreement step is likely before it can go to tender.
Urgency is high: waiting another budget year has a real cost.
It is expensive for what it delivers, so check whether it can be phased.
Note on file: Gate sites still need a survey.
Shortlist: empty.
| Factor | PJ-01 | PJ-05 |
|---|---|---|
| Cost | 4/10 +10 | 9/10 +22.5 |
| Impact | 9/10 +22.5 | 8/10 +20 |
| Urgency | 9/10 +22.5 | 7/10 +17.5 |
| Readiness | 5/10 +12.5 | 9/10 +22.5 |
| Score | 68 | 83 |
PJ-05 leads by 15 points, mostly on cost and readiness. PJ-01 is stronger on urgency and impact.
Every rank can be traced to four factor scores and the weights a person chose.
Drag the day or the threshold, pick a sub-district, then approve or edit the suggested action.
PrototypeRisk scores are a fixed formula over 14 days of invented readings; alerts and actions come from rules and templates. The map is a schematic, not real geography.
Daily rain, day 1 to 14. The highlighted bar is the day shown.
Flood risk89 / threshold 60
Drought risk0 / threshold 60
Water level adds 53 of the 89 points.
Water level adds 53 of the 89 points.
Water level adds 50 of the 86 points.
Water level adds 47 of the 81 points.
Water level adds 43 of the 68 points.
Water level adds 29 of the 65 points.
Approvals and edits are recorded here, newest first, with the time.
Each score shows the readings behind it, the threshold is set by a person, and nothing is sent until someone approves it.
Search the facilities, read the coverage map, then route a referral and watch capacity update.
PrototypeAll 174 records are generated for this demo; only the count matches the scope. Suggestions rank facilities by a fixed rule: same or neighbouring sub-district, free slots and staffing.
Share of this week's due home visits already done. Amber under 70%, red under 60%. Select a sub-district to filter the list below.
Suggested for RF-301: facilities offering chronic care with room today
Coordinators see every facility in one place and choose where a patient goes; the suggestion only narrows the list.
Pick a memo, check or override the AI triage, then approve from the queue. Advance the clock to see due times run out.
PrototypeTriage is keyword rules over eight invented memos; the highlighted words are what drove each suggestion. The clock is simulated.
M-101From Disaster prevention division, 6 hours ago
Release of reserve budget for mobile pumps
Water levels are rising in the river zones. Please release the reserve budget so two mobile pumps can be hired today.
Matched: budget, release, reserve; urgency words: rising, today.
Quotations for blood pressure monitors
Owner Procurement unit, normal urgency
Training on the new monthly reporting form
Owner Human resources section, low urgency
Every triage, override, approval and return is recorded here, newest first.
The suggestion saves sorting time, but a person confirms every category, urgency and owner, and every override is logged.
What comes next?
This page is the concept and working demo. Pilot scope, data, budget and timeline are agreed only after the PAO has seen it.
The four scope areas this solution covers.
This page, on synthetic data.
Adjust as more information arrives.
Validate the problem, data and needs.
Scope, data, integrations, criteria, budget, timeline.
Show the idea working, so stakeholders react to something concrete.
Output: a stakeholder-ready demo.
One scope area and an agreed set of real data, run alongside today's process.
Output: one scope area live alongside today's process.
All four areas and more facilities on the same platform, run and supported.
Output: all four areas on one platform.
Built for public service
A provincial team will ask why a project ranks first, why an alert fired, and who saw a patient's record. The design answers that from the start. The list on the right is what we need from the PAO before a pilot.
Scores, alerts, suggestions, triage and answers come from fixed rules and templates on this page, not from a production model.
Every project, budget, reading, facility record, case and memo is fictional. Only the count of 174 facilities comes from the stated scope.
Nothing is approved, routed or sent until a person has checked it, and every override is kept.
If a rank or a risk score cannot be traced to its inputs and weights, it is not shown.
Review the demo with your team.Tell us what a pilot must prove.
All projects, budgets, readings, facility records, cases and memos in this demo are fictional. This page is a demonstration, not an official system of the Suphan Buri PAO or any agency.