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Municipal Service Intelligence · public preview

Make the systems your city already owns work together.

Fewer duplicate tickets. Faster routing to the right department. One view of a case as it moves from a resident’s report to a closed work order — on top of what you already run, replacing none of it.
The closed loop

One report, carried all the way through — and back into the next one.

Report → Understand → Consolidate → Prioritize → Route → Resolve → Learn. Nothing here is a queue that ends at “ticket closed.” What is learned from one case is available to the next.

1. ReportA photo, a location, a few words —sent straight from a phone.2. UnderstandReads what came in and works outwhat kind of problem it looks like.3. ConsolidateLinks reports about the same probleminstead of stacking up as duplicates.4. PrioritizeSuggests a priority from severity,location, and how many reported it.5. RouteReaches the right department withits context already attached.6. ResolveStaff act on it — and can changeanything it suggested, any time.7. LearnThe outcome is kept, so the nextreport like it is handled better.closes the loop — feeds the next report
What you already own stays

Not a new platform to buy. Not a system to migrate into.

It sits above the systems your departments already run, reads and writes to them, and gets out of the way. Nothing below is replaced — it is connected.

Existing systems
GISERPPermittingService requestsDocumentsWork ordersDepartment applicationsKnowledge bases
↓
Municipal Service Intelligence — the orchestration layer
↓
ResidentsEmployeesCity leadership
What actually happens

How one report becomes a handled case

  1. A resident reports something — a photo, a location, a few words.
  2. The system checks it against reports already on file nearby.
  3. It works out roughly how serious the problem looks, from what was sent.
  4. It suggests who should look at it, and how soon.
  5. A staff member reviews the suggestion — keeps it, changes it, or sets it aside — and assigns it.
  6. Once it is resolved, the resident hears back, and the case becomes something the system can learn from next time.
Illustrative example — not a live case

Pothole reported on a residential street

Location
A residential street, a mid-sized California city
Priority
HIGH
Similar reports nearby
3
Suggested next step
Public Works inspection within 24 hours
And, second: what it recommends

A suggestion has a name: an AI recommendation. It is not a decision.

Everything in the loop above is ordinary work — reading a report, checking for duplicates, picking a department — that a person could do by hand, slower. Where the system offers to do some of it for you, that offer is always labeled an AI recommendation, and it is always a person who accepts it, changes it, or throws it out.

Confidence

Shown, not hidden

A recommendation says how sure it is, in plain terms — never dressed up as certainty it does not have.
Evidence

Shown next to it

What a recommendation is based on sits beside it — not buried, not asserted without a reason.
Human override

Always available

Every recommendation can be changed or set aside by a person, every time, with no extra steps.
Audit history

Always kept

What was recommended, and what a person did about it, stays on the record — who decided what, and when.
Who it is for

The same case, in the words of whoever is holding it.

Resident, on a phone

Says what happened, not which department

Reports in plain language from a phone — no department names to guess, no portal to learn first.
Crew, in the field

Gets what is needed to act

Opens a case with the context already attached — not a raw dump of every message that arrived.
Manager, at a desk

Sees where cases are stacking up, and why

Sees the pattern across departments — not only the queue that happens to sit in front of them.
How we sell it
How we sell it. Engagement Squared is offered to government as a commercial item — commercial computer software under FAR Part 12, on our standard commercial license terms. We do not sell it as custom development, and we do not grant Government Purpose or Unlimited Rights in the software, its schema or its technical data. Development was funded at private expense.
Talk to the person building it

This is early. Write to the founder directly.

There is no live product tour yet, and it is not running on any city’s data — everything above describes the shape of it, not a shipped feature. If duplicate reports and disconnected systems sound familiar, say so directly to the person who is building this.

Write to the founder →