Energy ERP

Replace spreadsheets with an agent-driven back office

ENESOL is an AI-native ERP that runs your revenue, division order, and land on a semantic data architecture. No more manual reentry. No more version conflicts. Just one source of truth.

ARCHITECTURE OVERVIEW

How should your ERP handle live well data?

Snowflake-native dynamic tables. Agent-driven workflows. Your back office stays current with production, ownership, and cost data as it changes, not when someone reruns a spreadsheet.

Revenue accounting

Post revenue, record owner distributions, and reconcile payouts to source production data.

Division order management

Track owner interest ownership across wells with up-to-date division of interest records.

Land lease tracking

Store lease terms, expiration dates, and obligations in a single searchable register.

Joint interest billing

Generate operator bills, code expenses, and monitor partner cost recovery without manual spreadsheets.

AFE management

Set up authority for expenditure requests and compare approved budgets against actual spending.

Production measurement

Capture well volumes from the field and validate them before they flow into revenue.

ML reconciliation

Automatically match ownership, volumes, and payments across modules to surface exceptions.

Immutable audit trails

Every transaction keeps a permanent record your auditors can verify without a data pull.

RECONCILIATION

Stop trusting spreadsheets. Start trusting the math.

Your legacy system has limits. ENESOL replaces guesswork with ML-powered reconciliation and an immutable audit trail your auditors will actually like.

Grid of dark blue tiles with one highlighted orange tile containing a warning triangle icon.

Self-checking ledgers

ML models flag anomalies before they hit your books, not months later.

Sequence of five interconnected blue boxes with padlock icons, labeled T-5 through T-1.

Audit trails that hold up

Every entry is permanent and time-stamped. No backdating, no mystery edits.

Minimalist neon blue clock icon with a checkmark on a dark blue background.

Faster month-end close

Reconciliation runs in minutes. Your close schedule stops dictating your team's nights.

Diagram showing Revenue, Production, and Division Orders data converging into a single Matched Ledger.

No more manual matching

ML pairs revenue, production, and division orders automatically. You review, not redo.

FAQ

Built to fit into your existing stack

Practical answers on integration and security before you request a demo.

How it works

One data flow, four gates, zero missing fields

AI-native ERP moves data through four checked stages. Each gate catches gaps before they hit your revenue run.

Ingest raw records

Pulls production, ownership, and cost data from any source into Snowflake-native tables.

Validate completeness

Each gate checks every field. Missing owner, division, or decimal stops the flow.

Reconcile with ML

Machine learning flags mismatches across runs, then learns from every correction.

Approve and post

Auditors see the full trail. Approved entries post with an immutable record.

AI-native vs bolted-on

A chatbot on top of legacy ERP still runs on messy tables. ENESOL starts clean.

Your data, one source

Semantic data architecture means every module reads the same story. No spreadsheets.

See your revenue module live in a 30 minute walkthrough

Bring your division order file and your actual revenue runs. We'll walk through reconciliation on your data and show you exactly where the manual work disappears.