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

TRIGGERLLMAPIDECISIONACTIONWAIT
TRIGGERScheduled ScanRuns across all active turns
APIPull Turn StatusGet each turn’s steps and dates
LLMFind Critical PathIdentify the binding step per turn
LLMForecast SlipProject the rent-ready date
DECISIONAt Risk?
LLMRank By ImpactOrder by days and dollars at risk
ACTIONAlert OwnersSend the ranked risk list
The agent doesn't clear the blocker. Your manager does. The agent finds it and forecasts the slip in time to act.

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.

Your TurnsAll active make-readies
The AgentWorkflow engine + LLM
Your Risk ListRanked slip warnings

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
What happens day-to-day: Instead of finding out a turn slipped at the rent-ready date, the agent scans every active turn each day, names the one step holding each unit back, and ranks them by what the slip costs. Your manager works the top of the list, not the surprises.

For the IT person or technical lead who needs to scope the integration.

INQUIRY SOURCES

Turn board
PMS schedule
Vendor calendar

WORKFLOW ENGINE (N8N)

Trigger - schedule
PMS API - Pull turn status
LLM - Find critical path
LLM - Forecast slip
Branch - at risk?
LLM - Rank by impact
Alert owners

CONNECTS TO

PMS (Yardi / AppFolio)Read: turn steps, dates, status
Vendor schedulingRead: booked vs unbooked trade slots
Notifications (Slack / email)Send ranked risk alerts
BI / dashboardFeed a live turn-risk view
WITHOUT PMS API

Agent reads exported turn status and applies standard durations to forecast. Less precise, but the risk ranking still surfaces.

WITH PMS API

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.

TRIGGERNode 1
Trigger - Scheduled Scan
Cron each morning across all active turns.
Output: { run_date, active_turns[] }
APINode 2
HTTP Request - Pull Turn Status
GET each active turn’s steps, completion status, and dates.
Output: [{ unit_id, steps[], target_date }]
LLMNode 3
LLM - Find Critical Path & Forecast
For each turn, identify the binding step and project the rent-ready date.
Output: [{ unit_id, binding_step, projected_date, days_late }]
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}
OUTPUT
[
  { "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 }
]
DECISIONNode 4
Condition - At Risk?
IF days_late > 0 → include in the risk list. ELSE → drop from alerts.
Output: Branch: AT RISK (rank + alert) or ON TRACK (skip)
LLMNode 5
LLM - Rank By Impact
Order at-risk turns by days late times daily vacancy cost, with a one-line action.
Output: [{ rank, unit_id, days_late, cost_at_risk, action }]
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}
OUTPUT
[
  { "rank": 1, "unit_id": "B-214", "days_late": 4, "cost_at_risk": 240, "action": "Book flooring crew today to recover 4 days." }
]
ACTIONNode 6
Alert Owners
Send each property’s owner their ranked risk list with actions, via Slack or email.
Output: Ranked turn-risk alerts delivered with lead time to act.
MVP vs Advanced — Where To Start
MVP — START HERE
  • Manual scan trigger
  • Turn status from a sheet
  • Standard step durations
  • Simple days-late sort
  • Single risk list
  • Alerts by email
ADVANCED — ADD LATER

    Full Video Walkthrough Coming Soon

    From a board of turns to ranked slip risk - step by step.

    Register to be notified

    Everything on this page is free to learn.

    When you're ready to build — do it yourself or bring us in.

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    Frequently asked questions

    Turn Critical Path Risk Detector is an AI agent that flags the current blocker and forecasts rent-ready date risk.
    You find out the turn slipped on the rent-ready date. The Turn Critical Path Risk Detector addresses this — it flags the current blocker and forecasts rent-ready date risk.
    No — your team stays 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.