ATLAS is zone and operations intelligence for facilities management providers: it puts every technician, cleaner and site crew on one map by zone, so coverage and performance run on data instead of gut feel.
Facilities management providers run people across a portfolio of sites: maintenance and mechanical and electrical technicians, cleaning and janitorial teams, grounds and landscaping crews, security and helpdesk-dispatched engineers. Work arrives as planned preventive maintenance, scheduled cleans and inspections, and reactive requests, each with a site, a service level and a skill requirement. Sites do not generate work evenly, and a roster that looks balanced on paper can leave one part of the portfolio stacked with open requests while another has teams waiting for work.
ATLAS is the layer that shows the field workforce as it is being deployed. It connects read-only to the CAFM, CMMS and workforce systems you already run, groups sites and work orders into decisionable zones, and gives supervisors and operations managers coverage, team performance and planning intelligence on the same map. See the platform or how it works.
A portfolio can look fully staffed and still hide the problem. Reactive demand clusters around particular buildings and areas, rises with weather, occupancy and equipment age, and shifts with the day of the week and the hour.
ATLAS groups your sites and work orders into a small number of decisionable zones instead of hundreds of individual addresses, then shows what each zone is carrying: open requests, planned visits, job hours needed and teams present, by zone, day and hour.
An operations manager opens the map on a Monday morning and sees two zones holding most of the open reactive requests, while a third has teams finishing early with nothing queued.
Site teams are usually rostered by contract or building. Each site gets a similar allocation regardless of how much reactive work arises there or how long visits really take, and the shortfall only appears as a missed service level or a complaint from the client.
ATLAS compares the team time a zone needs against the team time it actually has, and gives supervisors one live coverage read per zone instead of a roster that looked right when it was built.
A technician is held on a long breakdown and their home zone drops below the coverage it needs. The supervisor sees it and moves the most time-critical requests to a neighbouring team with capacity, instead of finding out when the client calls.
Team performance is usually judged on totals: work orders closed, hours on site, planned tasks completed. That quietly favours whoever was given a compact cluster of simple sites and penalises whoever covers a spread-out set of sites with long travel between them.
ATLAS links which team covered which zone, and when, to what came out of it: work orders completed against plan, response and arrival time, travel time between sites and repeat visits. Because it is zone-level, two teams can be read against comparable ground.
Two teams close the same number of work orders. ATLAS shows one works a dense city-centre cluster, while the other drives long distances between outlying sites, so the manager reads their results accordingly.
Preventive maintenance rounds, deep cleans and compliance inspection drives tend to be spread evenly across a portfolio, or aimed at wherever the last complaint came from.
ATLAS reads work order, visit and team availability data by zone, so you can see where repeat faults concentrate, where reactive demand is building and where you are short of people, and aim the next preventive round or inspection drive accordingly.
A provider plans a round of preventive visits. ATLAS shows two zones with a steady stream of repeat call-outs that the round should target, and a third where demand is rising but no team is based close enough to serve it, so capacity is added there first.
Built on the ATLAS platform: live zone intelligence, team coverage health, team-level performance tracking and a plain-English analyst, all on your own data.
Where your work orders, job hours and teams actually sit, by zone, day and hour.
One live read on whether team time matches real demand, not a fixed roster.
Link which team covered which zone to work orders completed, response time and travel time against plan.
Aim preventive rounds and inspection drives at the zones where demand and team supply line up, and review the ones where they do not.
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Running live today across a multi-market Caribbean delivery operation.