Economic Intelligence for Operations
From AFE Forecasts to Field Execution
eXovy embeds economic intelligence throughout your operations - connecting AFE assumptions to field reality.
The Gap Is Costing You Millions
When AFE assumptions and field reality drift apart, so does your margin
Every day a forecast and its field execution stay disconnected is a day economic decisions get made on stale information. eXovy closes that gap.
Most operators lose visibility when the rig shows up
Operators have great AFE models, but the moment execution starts, the forecast stops being compared against reality. The economic north star goes dark exactly when spending accelerates.
Nobody sees the connection
Finance sees cost overruns, drilling sees schedule delays, completions sees pressure anomalies, production sees forecast misses - but no one sees the link between what happened in the field and what it cost the project. Visibility is created only in hindsight.
Half a million in drift on a single well
On a ~$5M horizontal well, a 10% variance is roughly $500K. Multiplied across a 10-50 well program, the drift compounds into millions in destroyed capital.
Variance surfaces 60 days too late
ERP systems tell operators what they spent roughly 60 days after the fact. By the time the overrun shows up in accounting, the intervention window has closed and capital is already destroyed.
How It Works
eXovy catches the variance the day it happens - not weeks later, when the invoice is coded and the money's already gone.
eXovy pulls together three data streams operators normally keep in separate silos, then continuously checks field reality against what the AFE authorized - so a cost overrun surfaces the day it starts, not weeks later when the invoice finally lands.
AFE & Forecast Data
Your authorized budget and cost assumptions - the baseline every dollar gets measured against.
Field Execution Data
Drilling, completions, and production activity as it happens - the first signal that spend is drifting from plan.
Financial Systems
Actuals, invoices, and cost tracking from your ERP/accounting stack - reconciled against the baseline as they arrive.
Data LakehouseVariance, Caught the Day It Happens
eXovy reconciles all three streams against the original AFE and surfaces the gap the moment field activity drifts from plan - what's driving it, and what it's projected to cost you - while there's still time to change the outcome. Not 60 days later, when the invoice is coded and the money's already committed.
Process
Getting from disconnected data to one economic model
Discovery
We map your existing AFE, field, and financial data sources - where they live, what shape they're in, and how they connect today (or don't). Most operators find their data is scattered across systems, spreadsheets, and vendor portals, with no common structure tying it together.
Data Foundation
eXovy runs on clean, governed data. We stand up the data lake and governance layer that makes that possible - building a new one if you don't have it, or organizing and integrating into your existing environment - then structure and clean your AFE, field, and financial data into a single economic model. This is the groundwork everything else depends on.
Adoption
We can white-glove the entire rollout, working alongside your teams through adoption and beyond, so the visibility actually gets used where decisions get made - not just stood up and left.
FAQs
Frequently Asked Questions
Is eXovy a BI or reporting tool?
Traditional tools show outcomes after the fact. eXovy reveals economic cause and effect in real time - while intervention is still possible.
Can eXovy integrate with our data?
eXovy is vendor-agnostic and designed to normalize diverse operational data sources.
Do you provide support after implementation?
eXovy works closely with your teams through implementation and beyond to ensure adoption and results.
Where is your team based?
Primarily in Houston, Texas - with deep expertise in both energy operations and AI software development.
Get in Touch
Let's Talk About Your Next Pad
Your AFE forecast doesn't have to disappear when drilling starts. eXovy keeps it alive - continuously compared against field reality, from spud through abandonment.
