Integrity issues are found late.
What it costsUnplanned shutdowns, safety risk and lost production.
What changesSensor, inspection and maintenance data used to predict failures and plan work in time.
Agentic OS · AgentsAI Transformation · Oil, gas and petrochemicals
Enterprise AI for assets, safety and engineering.
For upstream, midstream, downstream and petrochemical companies and their service contractors: agents that predict equipment failures, prepare permits and inspection records and search engineering documents, alongside AI for procurement, HSE and regulatory reporting, with people approving every operational decision.
Where AI helps first
- IntegrityFailures predicted early
- PermitsPermit packs prepared
- DocumentsEngineering search with sources
- HSEIncidents and observations
- ProcurementBids and contracts checked
- ReportingRegulatory reports assembled
Every agent action approved by a named person
Written for
COOs and asset managers, Heads of engineering and HSE leaders
The question you came with
Why do we still find integrity issues late, and spend days searching engineering documents?
Part of Enterprise AI Transformation
Where it starts in oil and gas. The first work handed to agents: predictive maintenance and integrity, engineering knowledge assistant and permit and inspection records. Each one drafts or flags, and a named person approves.
See the whole programmeWhat breaks in oil and gas
If two of these are true, the rest of this page is about you.
Engineers spend days searching documents.
What it costsSlow decisions and repeated work.
What changesDrawings, procedures and reports searchable in plain language, with every answer citing its source.
Agentic OS · ContextPermits and inspection records are assembled by hand.
What it costsDelays to work and gaps in the record.
What changesPermit packs and inspection records prepared from templates and live data for approval.
Agentic OS · FlowHSE data is scattered across sites.
What it costsPatterns missed until something serious happens.
What changesIncidents and observations classified across sites, with trends flagged to HSE leaders.
Agentic OS · PulseYour role
What changes for each of the people who sign off.
COOs and asset managers
Uptime and integrity across the asset base.
- Failure risk by asset
- Planned versus unplanned work
Heads of engineering
Engineers solving problems, not searching for documents.
- Answers with sources in seconds
- Lessons learned reused
HSE leaders
Safety patterns seen early, across every site.
- Incident trends by site
- Records complete and audit-ready
What we build for oil and gas
The capability on the left, what your team would notice on the right.
- Integrity
Predictive maintenance and integrity
Sensor, inspection and maintenance history combined to predict failures and prioritise work.
- Documents
Engineering knowledge assistant
Drawings, procedures, standards and reports searchable in plain language, with sources and access control.
- Permits
Permit and inspection records
Permit-to-work packs and inspection records prepared from templates and live data for approval.
- HSE
HSE observation and incident agent
Observations and incidents classified across sites, with trends and overdue actions flagged.
- Procurement
Procurement and contract checks
Bids compared, contracts checked against your terms, and supplier performance tracked.
- Infrastructure
Private and in-region AI
Models and data on infrastructure your security team controls, including at the edge.
Enterprise AI in oil and gas, beyond sales
The same programme runs in operations, finance and service. These are the first workflows we usually see handed to agents. Each one drafts, checks or flags; a named person decides.
- Operations
Asset health and failure risk summarised for planners and asset managers.
- Engineering
Documents searched with sources; lessons learned surfaced for new work.
- HSE
Incidents and observations classified; permits and inspections prepared for approval.
- Procurement
Bids compared and contracts checked against your standard terms.
- Regulatory
Emissions and regulatory reports assembled from governed data.
Where we start
Small, fixed and useful on its own. You decide after each step.
- Weeks 1 to 3
AI Transformation Review
Operations, systems and data reviewed, and the first workflows ranked by value: usually predictive maintenance or the engineering knowledge assistant.
- First pilot
One workflow in production
The highest-value workflow live with a baseline, a named approver and an audit trail.
- Then
Permits and HSE
Permit packs and HSE analytics, on private infrastructure.
Questions
Can you work with OT and SCADA data?
Yes, read-only and through approved connections. Control stays with your systems and people.
Will AI approve permits?
No. It prepares permit packs and checks them for gaps. Authorised people approve every permit.
Can models run without public cloud?
Yes. We deploy private models on your infrastructure, including at remote sites where needed.
Where do we start?
With the AI Transformation Review. It names the first workflow worth handing to an agent, and what has to be fixed first.
Where to start
Fixed-scope offers that fit this industry. Each has a set timeline and a deliverable you keep.
Offer · Pilot
Private and Sovereign AI Setup
AI that runs in your region, on infrastructure you control, behind one governed gateway
Offer · Assess
AI-Ready Data Assessment
A clear view of which data blocks which AI use case, and the plan to fix it
Offer · Pilot
Knowledge Assistant in 30 Days
An assistant that answers from your own policies, SOPs and contracts, with sources, in your languages
Keep going
The services, tools and rules that matter most in oil, gas and petrochemicals.
Services for oil, gas
AI transformation for the agentic engine era
Start with a fixed-fee AI transformation review. We map your systems, data and teams against the six layers of Pegasus Agentic OS and name the first workflows to hand to agents. You keep the findings whether or not you work with us.