Case studies — Smarterapps Ai
Government AI automation
How an Australian council or agency can offer a citizen app and an enquiry assistant that only speaks from approved information — and still keep a person, and an audit trail, on every case that matters.
The situation
What was getting in the way.
An Australian council was answering the same questions — bin days, permits, rates, facility bookings — across a contact centre, email and a website search that did not match the pages staff trusted. Case officers received enquiries missing the one attachment the process required.
The council would not put an open chatbot in front of residents. Any assistant had to use approved pages, refuse everything else, and record what it said. Decisions on permits and complaints had to stay with officers.
This anonymised use case is a composite of the government work Smarterapps Ai designs. It is not a named council and it does not claim a call-centre reduction.
Read the matching industry page on Government AI, or talk to us via contact or chat.
What we would build
The app, the assistant and the automation.
Each part is scoped so a person keeps the decision that matters. This is the shape of the engagement, not a claim that every module ships on day one.
01 — Residents
Citizen service app
Bookings, request lodging and status for the services the council chooses to offer digitally, including the high-volume ones that currently hold the phone queue.
02 — Contact
Enquiry assistant
Answers only from pages and scripts the council marks as approved, with the source shown. Unknowns become a case, not a guess.
03 — Triage
Case triage
Requests classified to the team and the information checklist that team already uses, before an officer opens them.
04 — Intake
Document intake
Applications checked for required attachments. Incomplete ones are returned with a plain list of what is missing.
05 — Staff
Officer copilot
A staff-only assistant over internal procedures and the case file, citing the source. It does not decide the case.
06 — Records
Records integration
Cases and messages write to the system of record, with an audit of automated replies and officer actions.
How it runs
From the first request to the system of record.
The automation prepares work. It does not take the action your organisation reserves for a person.
Step 01
A resident asks a known question
The assistant answers from the approved page and links it. If the page does not cover it, the assistant opens a case.
Step 02
The case arrives complete
Triage attaches the category, the location and the missing-information list. Officers are not the first filter for empty forms.
Step 03
Officers decide
Permits, complaints and exceptions are worked by the team that owns them. The copilot retrieves procedure. It does not recommend an outcome as a decision.
Step 04
The record shows what was said
Automated replies and officer notes are both on the case, so a later review can see the source of an answer.
Outcomes
What this pattern is built to change.
Residents get the page you stand behind. Answers come from approved content, with a link, or they become a case.
Contact centre on the exceptions. Repeat, published questions are designed to resolve before they hold a queue.
Officers open complete cases. Intake asks for the attachment the process already names.
An audit trail by default. What the assistant said, and what a person decided, are both recoverable.
Controls
What the automation is not allowed to do.
The public assistant has no path to unpublished case data. Staff tools respect existing roles. Automated replies are limited to approved content and are logged. Decisions that affect a person’s rights or entitlements stay with an officer. Hosting region and retention follow the agency’s requirements.
Smarterapps Ai builds the software and the operating guardrails with you. We do not invent a compliance position for your sector. The person you already hold accountable — clinician, adviser, officer, supervisor — still makes that decision.
This page is an anonymised composite use case. It uses a realistic Australian scenario. It is not a published result for a named organisation.
Keep going
Industry page, services and chat.
The industry page covers how we build. This page covers one operating pattern.
Related: Services · AI developers · Workflow automation · AI agents · Document AI · AI customer chat · Contact · All case studies →
You can also open the chat on this page and describe the workflow. A person follows up from there.
01 — Use case
How an Australian retailer can give customers one app, give the shop floor a task list that matches stock, and stop order questions landing in three.
02 — Use case
How an Australian hotel group can let guests change the easy things themselves, and give housekeeping and the desk one list — without a chatbot that invents a room.
03 — Use case
How an Australian manufacturer can capture quality and downtime where the work happens, and open a maintenance task while the context is still on the line — not at the.
FAQs
Questions we expect on the first call.
Can the assistant invent a policy answer?
No. If the approved content does not cover the question, it opens a case. It does not improvise.
Will officers be replaced?
No. The pattern removes repeat published questions and incomplete forms. Case decisions stay with officers.
How is this governed?
You nominate the content owner, the review cycle for approved pages, and the case types that must never receive an automated outcome.
Where next?
A single, high-volume enquiry type is the right pilot. Contact or chat and we will bound the assistant to the page you would sign.
Start with one workflow
Answer from the page you would sign.
We will take one published service, bound an assistant to it, and route everything else into a case your officers already own. Or open the chat on this page.