Why WorkSync
You’re already paying for the data.Are you getting the decision?
The sensors are in. The alarms fire. The reports run. And at 6 AM the field still sets its day with a spreadsheet and a phone call, so crews drive to the loudest well instead of the most valuable one, and the production those hours could have recovered stays deferred. WellOPS is the decision layer on the systems you already own: it prices every open item in dollars per day, ranks the whole field’s work, routes the crew, and learns from every close-out.
Every system in your stack does its job.
None of them owns the decision. That is the gap, and the gap is where the money is.
SCADA detects.
A pressure drop, a rate deviation, a threshold breach, surfaced in seconds. That is exactly what it is for.
Detection is not a decision.
CMMS tracks.
Work orders, PM schedules, equipment history, carried through to completion. The record keeps itself.
A backlog is not a ranking.
BI reports.
Yesterday, rolled up, charted, and delivered to the morning meeting. Everyone sees the same picture.
A report is not a route.
The spreadsheet prioritizes manually.
One experienced person reads all of the above and ranks the day by hand, every morning, from memory and judgment.
Hand-built priority covers one screen of wells, expires by mid-shift, and retires with its author.
WorkSync prices, prioritizes, routes, and learns.
Every open item priced in dollars per day, ranked against every other job in the field, routed into each crew member’s day, and every close-out feeding the next ranking. The systems above stay the systems of record. WellOPS turns what they already know into the decision they were never built to make.
Evaluating the category pattern by pattern? The evaluation criteria and buyer checklist live in the guide to choosing pump by priority software.
The other ways operators answer the gap
Manual field coordination
Texts and radio move requests fast, and they leave nothing behind. Work that arrives by text message is work that never happened, as far as the record is concerned. Every request should have an origin, a priority, and an outcome.
Internal development
Some operators build the layer themselves, and the largest have. The first dashboard is the easy part. The parts that never end are drift detection, retraining, constraint maintenance, and the close-out feedback loop. We published the build-vs-buy math rather than arguing it.
Should we build it in-house? →Doing nothing
The current stack keeps detecting, tracking, and reporting, and the morning stays manual. Meanwhile the ranking of an operator that feeds outcomes back accumulates calibration a waiting field never gets. The gap widens every quarter.
What it costs to stop at detection
The gap between detection and decision is not an inconvenience. It is a cash flow line, paid every morning in crew hours and deferred production.
The queue cannot tell a nuisance from a production loss.
A low-rate well alarms with the same color, row height, and sound as your highest cash flow producer, so the morning is triaged by memory, proximity, and instinct. Past roughly a dozen items, an exception queue stops being a work list and becomes background noise.
The automation spend never reaches the cash flow line.
SCADA is in, alarms fire, models run, and the morning still starts with a spreadsheet. An alert that never becomes a prioritized stop is just noise with a timestamp. You are not missing data. You are missing the day.
An hour down is not the same hour everywhere.
With gas realizing pennies and oil realizing dollars, downtime that rolls up in BOE hides the revenue at risk. A field plan that cannot see the difference spends crews on the wrong wells, and the deferred production compounds daily.
Executives are already promising this on earnings calls.
From recent operator earnings calls:
“…moving to a pump-by-exception company, a lot more automation.”
COO, large Permian operator · Q2 2026 earnings call“…transitioned approximately 40% of our onshore production to routeless operations.”
CEO, large US independent · Q2 2025 earnings call“…the remote operating capability of our Operations Control Center… optimize artificial lift parameters, reduce downtime.”
COO, multi-basin operator · Q2 2026 earnings callThe commitments are public. Detection alone does not deliver them, and neither does a report. Keeping these promises takes the layer that turns data into a ranked, routed, learning field day. That layer is the platform.
The most sophisticated prioritization engine
What the decision layer does all day
WellOPS ships as one platform that reads on a budget line as CMMS + Prioritization Engine + Work Management + Field Data Capture + Accruals. Together they run one loop, and the loop is the product.
01 · Flag
Per-well models flag deviation from what each well should be doing this week, not from a threshold set last year.
02 · Price
Every flag is priced in dollars per day: production at risk, commodity price, working interest, lifting cost.
03 · Rank
Every open item is ranked against every other job in the field, in one queue that can settle the morning argument.
04 · Route
Ranked work becomes each crew member’s routed day, built around qualifications, equipment, geography, and hours of service.
05 · Execute
Work is recorded at the wellhead. The close-out books the ticket and the accrual with the work itself.
06 · Learn
Every outcome feeds the next ranking. Scoring accuracy, false-alarm rates, and routing improve measurably each week.
What WorkSync Does Differently
WellOPS closes the loop: detection, prioritization, planning, execution, and learning in a single continuous cycle. And it is truly productized: a product you deploy in weeks, not a bespoke internal IT build like the ones the majors run.
Per-Well ML Models, Learned Individually
Not one-size-fits-all thresholds. Per-well models learn seasonal patterns, decline curves, and post-workover behavior so that "normal" is defined by the well, not a spreadsheet.
Every Task Scored by Dollar Impact
Production at risk, commodity price, working interest, lifting costs, and trend trajectory, all combined into a single economic score so you always know what matters most.
Complete Crew Work Plans
Not just a ranked list. Full daily plans built around crew qualifications, equipment, geography, driving time, and hours-of-service constraints.
Real-Time Re-Optimization
When a new issue emerges mid-shift, the system re-ranks and re-routes in minutes, not a static morning plan that is outdated by 10 AM.
Predictive: Days of Advance Warning
Pattern recognition across failure histories identifies equipment degradation days before failure. Fix it before it breaks.
Continuous Learning
Every field outcome feeds back into the models. Scoring accuracy, false alarm rates, and routing efficiency improve measurably with each passing week.
Side-by-Side Comparison
| Feature | SCADA + Pump by Exception | CMMS + BI Tools | WellOPS |
|---|---|---|---|
| Detection | Fixed thresholds, high false alarm rate | Manual entry, no automatic detection | Per-well ML models that cut false-alarm noise |
| Prioritization | All exceptions look equal | Manual priority assignment | Economic scoring on every task |
| Planning | Field team members plan their own day | Schedulers build plans manually | Constraint-optimized daily work plans |
| Routing | Nearest-well or manual | Not included | Multi-variable constraint-based route optimization |
| Adaptation | Static until someone edits thresholds | Static until next scheduling cycle | Real-time re-optimization mid-shift |
| Learning | None: same logic forever | None: rules-based | Models retrain weekly on your data |
| Output | Alarm list | Work order backlog | Optimized daily plan with turn-by-turn routing |
| Measured Results | Fewer site visits, gains erode with alarm fatigue | Better compliance tracking | 15%+ cash flow uplift, 35% fewer miles driven, TRIR cut from 1.8 to 0.3 (deployment figures) |
Why we could build this when others could not
WorkSync was born inside a private operator, experimenting with deep technology with full field access, startup iteration speed, and 2020s technology costs. The supermajors built exception-based operations internally a decade ago, by hand, at enormous cost. We productized it, and our system is built to outperform those bespoke builds.
Born inside an operator
Built by the team that ran the field, then boosted by modern AI and the collapse in the cost of connecting the oil field. The build environment the majors never had.
One system, three lenses
The financial, engineering, and operational lenses combined in one system, coupled with a deep understanding of how the business actually operates. The combination is the product.
Product beats bespoke at every scale
Our up-market case is a cost-structure argument, not just references: a productized platform is far more efficient than the heavy internal builds operators stand up themselves. See the data on US production operations.
Fit-for-purpose. Plug-and-play.
Don't Rip and Replace
WellOPS layers on top of the SCADA, ERP, and CMMS you already run, connecting data from 40+ integration sources into a unified intelligence layer. Those systems stay the systems of record.
Keep the tools your teams know. WellOPS adds the economic scoring, optimized planning, and closed-loop learning on top of them.
Don't leave cash flow on the table.
Measured on a live deployment across 5,000+ wells in three basins (Western Anadarko, Permian, and Wyoming). Same wells, same crew, against pre-deployment baselines.
15%+
Free Cash Flow Uplift, same crew
35%
Fewer Miles Driven
1.8 → 0.3
TRIR, deployment figure
40%
Lower Hauling Inventory
Every figure, with its label and measurement basis: see the numbers →
The Impact Guarantee
Pick the metric that matters. We run the 4-week pilot on your data. We charge when your number moves.
Explore More
Dive deeper into how WorkSync transforms operations.
What Is Pump by Exception?
The in-depth guide to exception-based pumping: the three layers, the ceiling, and why it is only the starting point.
Read more →ArticleWhat Is Pump by Priority?
How economic scoring transforms field prioritization beyond exception-based workflows.
Read more →GuideShould We Build It In-House?
The build-vs-buy question taken seriously: what the internal build costs, what it takes to maintain, and where the product wins.
Read more →GuideWellOPS Overview
See the full platform: from data ingestion to field execution.
Read more →Case StudyThe Numbers
Every figure we publish, with its provenance label and measurement basis.
Read more →ArticleWhy Now
The four enabling conditions behind ranked field work, each dated and cited to the source that measured it.
Read more →Frequently Asked Questions
Are your best people working on your most valuable work today?
Get the decision your data already paid for.
Bring one field’s data. We rank the work, route the day, and show you the economics on your own wells.