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Xcapit

Oil & Gas

Govern the AI in your operation before someone else asks you to

We help operators in Argentina, Colombia, and Brazil bring shadow AI under control, align with ISO 42001 and ISO 27019, and design AI-assisted decision systems that survive a JV audit.

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Reference diagram showing AI governance layers across IT, OT, and the AI Management System for an oil & gas operator

Why now

The governance window for AI in oil & gas closes faster than the procurement cycle

Three converging signals from regulators, insurers and standards bodies in 2023–2025 reset what 'duty of care' means for an oil & gas operator's board.

Standards

ISO 42001 — first internationally certifiable AI Management System — published Dec 2023

For the first time, boards, auditors and regulators share a common framework to ask: how is the AI in your operation governed? Operators without 42001 alignment will face the question from JV audits, D&O insurers, and procurement teams.

ISO/IEC 42001:2023, published December 2023

Regulatory

EU CSRD applies to FY 2024; US SEC climate rule published Mar 2024 but stayed pending judicial review

The EU Corporate Sustainability Reporting Directive applies to FY 2024 with first reports due in 2025. The US SEC final climate disclosure rule was published March 2024, with implementation currently stayed pending judicial review. Both signal a tightening discipline around operational risk disclosure, including AI-influenced decisions, emissions and safety incidents.

EU CSRD (Directive 2022/2464, FY 2024 application) · US SEC final rule March 6 2024 (stayed April 4 2024)

Operations

Gartner projects 40% of enterprises will experience shadow AI incidents by 2030

Generative AI usage inside operators outpaces governance capacity. Gartner projects that more than 40% of enterprises will experience security or compliance incidents linked to unauthorized shadow AI by 2030. Reservoir data, contractor IP and joint-venture documents routinely flow into public LLMs without inventory or controls — the operational risk lands on the board first.

Gartner Strategic Planning Assumption 2024 · IBM Cost of a Data Breach Report 2024

Why Xcapit

We arrive with the stack and the posture buyer-side governance teams already expect

We don't have a flagship oil & gas client yet — we are honest about that. What we bring is a production-grade stack we operate in adjacent regulated environments and an ISO 27001 certified posture that the procurement and audit teams can validate from day one.

Standards posture

ISO 27001 certified · 27019 + 42001 aligned

We operate the three-standard stack ourselves — not selling certification, sharing the path. JV audit defensible from the first conversation, not as an upgrade later.

Reference architecture

Digital twin reference architecture with UTN-FRVM (academic partner)

Four-layer architecture using open-source simulators (OpenDSS). Reusable across distribution grids and reservoir digital twins. Not vendor-locked, openly reviewable, ready for production deployment with the right partner.

Cryptographic identity at scale

UNICEF Innovation Fund — verifiable credentials in production

100% completion rate on every targeted disbursement with materially lower fees vs traditional rails. The same primitives that prove identity and disbursement provenance in a live regulatory environment translate directly to contractor governance and AI-decision traceability under ISO 42001 controls.

What we bring

An applied AI partner with skin in the game

90-day Shadow AI audit

From blind to baseline in one quarter. Workforce survey, egress review, AI inventory, control mapping, and a board-ready risk report.

ISO 42001 alignment program

A path to ISO 42001 alignment that stacks cleanly on top of your ISO 27001 and ISO 27019 systems. 12-24 months to certification readiness.

AI-assisted decision systems with traceability

Production AI for reservoir interpretation, maintenance prioritization, and operational copilots — with the audit trail your governance system requires.

Grid & reservoir digital twin architectures

Reference architectures for digital twins, designed with academic partners (UTN-FRVM). Open-source simulators, OT-safe integration, and a path to production.

Related work

Adjacent engagements that inform our oil & gas practice

EPEC · Government of Córdoba

Tokenizing high-impact energy infrastructure

Three programs being tokenized to channel investment into provincial energy infrastructure. Real-world asset patterns directly applicable to upstream concession structures.

Read case study →

UNICEF Innovation Fund

Auditable digital cash transfers at scale

Cryptographic traceability and identity patterns that translate directly to contractor payment governance and royalty disbursement in upstream JVs.

Read case study →

AiSec OpenClaw

AI-driven security operations

Our own open-source security platform — the same governance and auditability standards we apply to your OT-adjacent AI systems.

Read case study →

Questions operators ask us

We already have ISO 27001 and ISO 27019 — do we need ISO 42001 too?
Yes, and they're complementary, not redundant. ISO 27001 protects your data. ISO 27019 protects your OT environment. ISO 42001 governs the AI Management System — the model lifecycle, decision traceability, and the controls around AI-assisted decisions. Without 42001, you've secured the data and the OT, and left the AI-assisted decisions ungoverned. That's the gap that gets flagged in modern JV audits.
What does a 90-day shadow AI audit actually look like?
Days 1-15: anonymous workforce survey to find out what AI tools are actually being used. Days 16-30: cross-reference with network telemetry to find the gap between declared and actual usage. Days 31-60: full AI inventory including embedded AI in SaaS. Days 61-75: control mapping and a temporary acceptable use policy. Days 76-90: a board-ready risk report and proposed governance program. You move from blind to baseline in one quarter.
Do you actually deploy AI in production at oil & gas operators, or only advise?
We deploy. Our engagement model includes both: an advisory layer that handles inventory, governance, and ISO alignment, and a build layer that delivers production AI systems — reservoir interpretation copilots, maintenance prioritization models, and operational decision support — with the traceability your governance system requires. We're an applied AI partner, not a consulting firm.
You mention a digital twin reference architecture with EPEC and UTN-FRVM — is that a productized offering?
It's a reference architecture being designed with academic partners, not a productized engagement we're selling at scale. We share it openly because the patterns — open-source simulators like OpenDSS, OT-safe integration, calibration against a pilot feeder — are directly applicable to grid and reservoir digital twins in oil & gas. We're happy to walk operators through the architecture even if they're not buying a deployment.
How do you handle the OT side? Are your engineers familiar with OT realities?
Yes. We don't put models inside the OT environment unsupervised — that's the wrong design. We focus on the human and decision layer adjacent to OT: how a field supervisor uses AI-generated guidance, how alarm interpretation is logged, how maintenance recommendations are signed off. ISO 27019 informs everything we do on the OT-adjacent side, and we work with your existing OT security team rather than around them.

Let's talk before the next audit lands

Whether it's a shadow AI audit, an ISO 42001 alignment program, or a production AI system, the first conversation costs you nothing and gets you a clear next step.

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