Daily logs written weekly
Superintendents hate data entry. The daily log gets reconstructed Friday afternoon, and the dispute that needed Tuesday’s record is lost.
For construction & field project platforms
Crews, subcontractors, equipment, deliveries, daily logs: your platform models the project. Kareenos adds agents that chase the reality: confirming subs, collecting logs, tracking equipment, and flagging what’s slipping before it does.
On-premises · Your infrastructure · Live in 30 minutes
The room your customers are sitting in
Superintendents hate data entry. The daily log gets reconstructed Friday afternoon, and the dispute that needed Tuesday’s record is lost.
The framing crew was “probably” coming Monday. Three other trades planned around a guess.
The excavator is on a site, on a trailer, or in a yard. Rented equipment racks up days while owned equipment sits idle.
Every delay was visible in the data days earlier. It surfaced at the weekly meeting, after it compounded.
Digital staff for this vertical
Each role is an autonomous agent with a job, an SLA, and an escalation path: sold by you, billed by you, branded as you.
Digital staff
Collects the daily reality conversationally from the people on site, while it’s still today: crews, weather, work done, issues, photos.
Watches
Acts
Digital staff
Confirms every subcontractor against the look-ahead schedule, and re-plans the cascade when one falls through.
Watches
Acts
Digital staff
Knows where every machine is, what it costs, and when the rental should have gone back.
Watches
Acts
Concrete, not conceptual
Trigger
It’s 4:30 p.m. and site 7 has no daily log.
Agent
The agent messages the superintendent on WhatsApp, takes a 90-second voice note answer, asks two follow-ups, attaches the day’s photos, and files a structured log.
Outcome
A complete daily record in the super’s own words, captured in two minutes, not reconstructed Friday.
Trigger
The electrical sub hasn’t confirmed Monday’s rough-in by Thursday noon.
Agent
The agent calls the sub, gets “we’re stuck on another job until Wednesday,” alerts the PM with the three dependent trades affected, and proposes a re-sequenced look-ahead.
Outcome
The PM re-plans Thursday afternoon instead of discovering an empty site Monday morning.
Trigger
A rented compressor shows 9 idle days on a finished phase.
Agent
The agent cross-references the rental contract, flags the $340/day burn, confirms with the site that the phase is done, and drafts the off-rent request.
Outcome
Rental returned. The pattern report shows which PMs leave money on the ground.
Wired into your project model
Kareenos adaptors read your projects, tasks, companies, and equipment in place. Schedule changes and field messages become intents; the look-ahead becomes something agents enforce, not just display.
Read-only adaptors · Your schema · Your infrastructure
The next step
Thirty minutes. We run a missing daily log and a sub confirmation against your schema in a live sandbox.
What you get: a working Kareenos sandbox configured for your platform, plus the technical deployment spec.