Close the month in days, not weeks.
    Energy · Upstream Oil & Gas · Production Accounting

    A production close that runs in real time.

    An upstream operator was trapped in a legacy stack — allocation runs that dragged for days, reconciliations without end, and books that reopened again and again on prior-period adjustments. We rebuilt it on serverless compute, and moved the close into the control room.

    Before · Legacy stack
    Allocation runtime8 days
    Month-end close10 business days
    Field insight latencyOvernight batch
    After · Serverless core
    Allocation runtimeA few hours
    Month-end close2 business days
    Field insight latency< 1 day, live
    8dhrs
    Allocation runtime
    10 → 2d
    Month-end close
    3
    Field systems integrated
    1st
    Real-time allocations in O&G
    <1day
    Insights to the field
    01 · Strategic outcomes

    Faster, trustworthy books — and a field that finally sees itself.

    The point was never a shinier system. It was a reconciled close that finance can trust, decisions the field can act on the same day, and an operating cost that tracks what you actually use.

    A reconciled close

    Month-end shrank from ten business days to two, with allocations fully reconciled before the books close.

    Fewer PPAs

    Automated sanity checks catch discrepancies early, steadily cutting reliance on prior-period adjustments.

    Real-time field decisions

    Daily allocation results reach crews in under a day — a first in O&G — minimizing unplanned deferments.

    Lower operating cost

    Pay-as-you-go serverless economics eliminate idle capacity and the fixed infrastructure bill entirely.

    02 · The close, compressed

    Ten days of close, rebuilt into two.

    The old close was a marathon of overnight batches and manual reconciliation. The new one is a two-day routine — because the heavy work now runs in hours, not days.

    MONTH-END CLOSE · CYCLE TIME
    BEFORE 10 business days AFTER 2 days
    03 · How it runs

    Field data in. Reconciled barrels out. Exceptions, live.

    Production, spatial, and asset data stream in from the field. A serverless engine fans allocation out into massively parallel work, reconciles it, and pushes real-time results and exceptions straight back to the room.

    ALLOCATION & RECONCILIATION PIPELINE
    FIELD DATA SOURCES SCADA GIS · WELLS EAM · ASSETS SERVERLESS FAN-OUT ALLOCATION ENGINE EVENT-DRIVEN · MASSIVELY PARALLEL ALLOCATE → RECONCILE → SANITY-CHECK REAL-TIME RESULTS Reconciled allocations Live exception feed
    PART 01

    Serverless fan-out allocation

    Allocation is decomposed into massively parallel work that spreads elastically across the field network. Daily and monthly runs that once dragged on now finish in a fraction of the time — with no servers to size or patch.

    Massively parallel · Elastic · Event-driven
    PART 02

    Network-graph field management

    A graph-based interface maps wells, facilities, and their interconnections the way the field actually behaves — so accountants and engineers trace flow paths and configure assets intuitively instead of wrestling with opaque tables.

    Graph UI · Asset config · Topology
    PART 03

    Real-time exception management

    Dashboards let teams define exception rules and surface discrepancies the moment they appear, with meaningful diagnostics instead of silent failures. Automated sanity checks steadily shrink reliance on prior-period adjustments.

    Rules engine · Live diagnostics · Auto-checks
    PART 04

    Seamless field data integration

    Native integration with SCADA, GIS, and EAM keeps production, spatial, and asset data consistent — and delivers daily allocation results back to the field in real time, a first for the industry, so crews act fast and cut deferments.

    SCADA · GIS · EAM · Real-time feedback
    04 · Engineering the core

    A serverless core that turns hours of allocation into minutes.

    An event-driven AWS stack, engineered so runtime stays flat as the field grows — with security and integration built in from the first line.

    S-01
    Serverless by default
    API Gateway, Lambda, DynamoDB, and S3 as the core — event-driven, elastically scalable, nothing to size or patch.
    S-02
    Fan-out compute model
    Allocation decomposed into massively parallel work across the field network, so runtime stays flat as scale grows.
    S-03
    Pay-as-you-go economics
    Cost tracks actual usage. Idle capacity is eliminated, high availability is retained, no fixed infrastructure bill.
    S-04
    Secure, controlled access
    AWS Cognito handles authentication and authorization, keeping critical accounting resources robust and auditable.
    S-05
    Integration-first design
    SCADA, GIS, and EAM connectors keep external systems in lockstep, so allocations run on trustworthy field data.
    Final assembly

    Slow books cost the field time and money. We give both back.

    If your close still runs on legacy stored procedures and overnight batches, we have already built the alternative. Let’s put your close in the control room.