A municipal operations team reviewing street conditions together.

Solutions by team

One platform, tuned to how each city team already works

IntelCit routes a field signal to the right municipal team, connects it to a service, and returns a reviewable output.

AI-generated editorial image — temporary placeholder pending licensed field photography.

Built around four municipal teams

Each team sees the signals, services, and outputs that fit its work — inside the same governed platform.

Public Works

Field signal
Litter and debris on streets
Service
Litter Detection, Street Cleanliness
Visible output
Counts, CAI grade, cleanup priority

Parks & Urban Forestry

Field signal
Lawn and tree condition
Service
Grass & Lawn, Tree Pruning
Visible output
Condition class, pruning candidates

Inspection & Review

Field signal
Candidate events and conditions
Service
Vehicle Littering and every review
Visible output
Candidate event prepared for review

Leadership & GIS

Field signal
Trends across routes and time
Service
Dashboards and reports
Visible output
Where to focus, defensible priorities

Team, signal, service, output, and review at a glance

The same reviewable path applies to every team: a signal becomes evidence, and a person makes the decision.

Team Field signal Service Visible output Human review
Public Works Litter and debris on streets Litter Detection, Street Cleanliness Counts, CAI grade, cleanup priority Crew confirms before dispatch
Parks & Urban Forestry Lawn and tree condition Grass & Lawn, Tree Pruning Condition class, pruning candidates Arborist confirms field scope
Inspection & Review Candidate events and conditions Vehicle Littering and every review Candidate event prepared for review Reviewer decides; never automatic
Leadership & GIS Trends across routes and time Dashboards and reports Where to focus, defensible priorities Human decision on plans and budgets

An illustrative operating scenario

A generated example of how a morning could flow across teams.

  1. A fixed-camera snapshot near Example segment EX-014 returns a litter count and an attention level for Public Works to review.
  2. A field video along the same route returns an internal CAI cleanliness grade, and a crew lead confirms which sections to clean first.
  3. A park photo flags a possible low branch on Example tree TR-207; Parks queues it for an arborist to confirm on site.
  4. Leadership opens a weekly view that groups these by route and time to explain where attention went — with every underlying result still reviewable.

Illustrative operating scenario, not a customer case study.

Find the starting point for your team

A guided demo can focus on the signals, services, and outputs most relevant to your team's daily work.