Part 1 The problemWhy teams need this
01 · THE PROBLEM
Rooms were checked on morning walk-throughs. A humidity spike on a Tuesday afternoon went unnoticed until harvest, when the batch came back short and it was far too late to fix. Continuous checks turn a lost batch into a five-minute adjustment.
Part 2 How it worksWhat it does, step by step
02 · WHAT IT DOES
The partner to the correlation workflow. Every 15 minutes it checks every room's live readings against the targets for that strain and week of growth, rates each room green, yellow or red, logs it, and sends an alert the moment anything drifts out of tolerance.
03 · HOW IT RUNS
Step by step, as built.
Read every room
Pulls current temperature, VPD and humidity for all rooms.
Load the targets
Loads the strain- and week-specific targets for each room.
Grade each room
Compares live readings to tolerance and marks each room green, yellow or red with the exact deviation.
Alert or log
Deviations go straight to Slack; everything is logged to the monitoring history either way.
04 · TOOLS AND APPS
Built around the systems already in the process.
05 · WHEN SOMETHING BREAKS
Failure is designed in.
- 1decision point (IF or Switch) checks the data before it moves on.
Standard on every build
- Schema validation before downstream writes
- Retry and error routes for external API failures
- Duplicate-safe processing and idempotent updates
- Human approval where the action carries business risk
- Execution logging for support and audit review
Part 3 The impactWhat it's worth, and how we'd build yours
06 · PROJECTED IMPACT
What it should change in the business.
Projections for a typical deployment. The calculation below shows the math, and you can put in your own numbers.
07 · ROI CALCULATION
How it pays back in your business.
The starting numbers are a hypothetical deployment sized to the projections above. Change any of them to your own volumes and costs, and the math updates underneath.
- Full-time equivalent freed
- 0.4 people
- Gross value
- $25,920
- Running cost
- −$120
- Return per $1 of running cost
- $216
The math: 720 room checks × 5 min × 12 months × 90% ÷ 60 = 648 hours a year × $40/hour = $25,920. Net value = gross value − $120 running cost a year.
08 · HOW WE'D BUILD YOURS
How we'd build yours.
- Discover: map the current process, systems, volumes, owners and exceptions.
- Design: define the canonical data model, approvals, retries and system boundaries.
- Build: implement credentials, nodes, validation and observable error routes.
- Prove: run controlled data through success, duplicate and failure scenarios.
- Operate: publish runbooks, ownership and measurable service levels.


