Scan Turns → Find The Blocker → Forecast Slip → Rank Risk → Alert
Turn Critical Path Risk Detector
Watches every active turn and flags which single step is the binding constraint on the rent-ready date, with enough warning to act before the date slips instead of after.
The Problem
You find out the turn slipped on the rent-ready date.
The blocker is discovered after the rent-ready date has already slipped.
What Changes
You find out days earlier, while it's still fixable.
Identifies which step is currently blocking rent-ready, forecasts whether the target date will hold, and surfaces the risk early enough to act.
Humans stay in control: Your manager decides how to clear a blocker. The agent finds it and forecasts the slip. It removes the late discovery, not the decision.
HOW THE AGENT WORKS
HOW TO BUILD IT
Three levels of depth. Pick the one that matches where you are.
For the ops person who needs to understand what's involved and brief their team.
WHAT YOUR TEAM PROVIDES ONCE
- Turn step data - status and dates for each active turn
- Step durations - how long each step normally takes
- Dependency rules - which steps block the rent-ready date
- Vacancy cost - the daily cost of a unit not rent-ready
- Alert routing - who hears about which property’s risk
For the IT person or technical lead who needs to scope the integration.
INQUIRY SOURCES
WORKFLOW ENGINE (N8N)
CONNECTS TO
Agent reads exported turn status and applies standard durations to forecast. Less precise, but the risk ranking still surfaces.
Agent reads live turn and vendor data and forecasts slips in real time each morning. Best experience.
For the person who wants to build this agent step by step. Each node below maps to an n8n workflow node.
You find the critical path for each unit turn and forecast its rent-ready date.
For each turn, using the steps, their status, standard DURATIONS, and DEPENDENCY RULES, return:
- binding_step: the single step that determines the rent-ready date
- projected_date: forecast ready date
- days_late: projected_date minus target_date (negative if early)
Respond ONLY with a valid JSON array.
DURATIONS: {durations}
DEPENDENCY RULES: {dependency_rules}
TURNS: {turns_json}
TODAY: {today}[
{ "unit_id": "B-214", "binding_step": "flooring (unbooked)", "projected_date": "2026-06-27", "days_late": 4 },
{ "unit_id": "C-108", "binding_step": "paint (in progress)", "projected_date": "2026-06-21", "days_late": 0 }
]You rank at-risk unit turns by financial impact.
For each at-risk turn, compute cost_at_risk = days_late x daily_vacancy_cost, and write a one-line action to clear the binding step.
Return a JSON array ordered by cost_at_risk descending.
DAILY VACANCY COST: {daily_vacancy_cost}
AT-RISK TURNS: {at_risk_json}[
{ "rank": 1, "unit_id": "B-214", "days_late": 4, "cost_at_risk": 240, "action": "Book flooring crew today to recover 4 days." }
]- Manual scan trigger
- Turn status from a sheet
- Standard step durations
- Simple days-late sort
- Single risk list
- Alerts by email
Full Video Walkthrough Coming Soon
From a board of turns to ranked slip risk - step by step.
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When you're ready to build — do it yourself or bring us in.
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Frequently asked questions
This is 2 of 5 agents in Turn Management & Make-Ready. → · Explore all 10 departments →