AcreFrame

Outcomes

Operational outcomes from design partner pilots.

Pilots are measured against operational outcomes, not vanity metrics. Each category reflects a real constraint in farm execution that AcreFrame is designed to address.

Measurement framework

What we measure, why it matters, and how we collect it.

CategoryBefore stateTarget stateCollection method
Coordination timeWork planned in one system, distributed by text/call/email across 2–5 channelsWork queued with context, constraints, and packets in one placeTime-in-motion observation + weekly team self-report
Packet completenessIncomplete or missing field packets at start of shiftEach operator has field context, input specs, and boundaries before leavingPre-shift packet completeness audit via operator self-check
Weather-block detectionOperators often sent to fields during marginal weatherBlocked work flagged before dispatch; rescheduled automaticallyWeather-block rate tracked against recommended application windows
Record completenessField records scattered across paper, photos, spreadsheets, and machine filesEvery completed task linked to source artifacts, operator, time, and fieldRecord audit per operating cycle against documented plan
Source artifact linkageCompliance or certification documents collected manually at end of seasonSource artifacts attached to each execution recordDocument completeness score per task and per field
Cost visibilityActual costs visible only after season reconciliationPer-task cost variance surfaced within days of completionCost data cross-referenced against executed work and input lots
Repeat work eventsMistimed or incomplete passes require redoBlocked or incomplete work caught before dispatchTask-state logs + operator feedback on repeat events
Accepted queue recommendationsNo formal queue; dispatch decisions ad hocManager reviews and accepts/rejects queue recommendationsApproval decision log + qualitative feedback
Operator handoff clarityIncomplete or missing field packets at start of shiftEach operator has field context, input specs, and boundaries before leavingPre-shift packet completeness audit via operator self-check

What we do not claim

  • We do not claim guaranteed savings or cost reduction
  • We do not claim guaranteed yield improvement
  • We do not claim guaranteed compliance with any regulation
  • We do not make autonomous agronomic decisions
  • We do not replace licensed professionals

Illustrative operating examples only. AcreFrame is design-partner stage decision-support software. It does not guarantee savings, yield improvement, input reduction, compliance, safety, or legal outcomes. Regulated workflows require qualified human review and applicable source materials.

Baseline → pilot → outcome review

Baseline

Map current execution loop. Measure coordination time, packet completeness, record quality, and cost visibility before AcreFrame.

Pilot

Run operating queue with real tasks. Collect weekly feedback. Iterate packet format, approval gates, and constraint logic.

Outcome review

Compare pilot metrics to baseline. Document variance signals, record completeness, and operational friction reduction.

Why outcomes matter now

$477.7B

Forecast U.S. farm production expenses in 2026 (2026 forecast)

$53.9B

Forecast U.S. cash labor expenses in 2026 (2026 forecast)

20–40%

Pilot hypothesis to measure: share of planned tasks requiring reschedule due to weather, equipment, or input constraints.

Source: AcreFrame pilot hypothesis

50–80%

Pilot hypothesis to measure: share of completed tasks lacking complete source-linked records before AcreFrame.

Source: AcreFrame pilot hypothesis

Pilot measurement checklist

Baseline coordination time measured before AcreFrame deployment
Weekly check-ins during pilot to collect qualitative and quantitative feedback
Record completeness audit at mid-point and end of pilot
Cost variance signal accuracy checked against actual invoices
Weather block accuracy verified against observed conditions
Operator packet completeness scored by designated field lead
Source document linkage completeness measured per task
Go/no-go decision data availability documented for key tasks

Sample pilot report

AcreFrame Pilot Report

Sample preview. Not live customer data.

Baseline loop

Plan created in spreadsheet. Weather checked via phone app. Crew texted at 06:00. Input inventory verified at shop. Records rebuilt from photos at end of day.

Friction points

  • Weather window missed 3× due to late notification
  • Input lot not verified before dispatch 2×
  • Operator packet missing boundary reference 1×
  • Record incomplete at end of shift 4×

Queue logic configured

Weather gate: wind < 15 mph, gust < 20 mph, rain < 10%, inversion low. Approval required for all crop protection. Input pull list generated 1 day before dispatch.

Packet examples delivered

Work packets for 12 tasks. Record packets for 9 completed tasks. Source artifact trails for 8 tasks. Variance panels for 6 tasks with cost data.

Measurement checklist

Coordination time: baseline setPacket completeness: 75% → 92%Weather-block detection: 6 flagsRecord completeness: 44% → 89%Source linkage: 33% → 78%Cost visibility: 4 tasks cross-referenced

Next-cycle recommendations

Add equipment telematics ingestion. Expand queue to fertility tasks. Integrate scouting signal auto-intake. Review approval gate thresholds with licensed applicator.

AcreFrame does not guarantee savings, yield improvements, or compliance outcomes. All outcomes are directional and depend on operating conditions, data quality, and adoption. Decision-support and workflow coordination only.