Oil OS by 9AI
Downstream Oil & Gas Task Execution System
AI Operating System for Oil & Gas Companies · Built on 9OS
One system reads your inspection findings, turns them into tasks, gives each task to the right person, balances the workload and chases the work until it is closed. Your people approve instead of chasing.
Step 1 of 6
Get the findings
A finding is handled five times over.
Every hand-off re-types what the last one already knew. By the time the work is done, nobody can say who owned it, why it took so long, or who else was overloaded along the way.
Where one finding actually lives
And what happens to it
Finding CL-114 · thin spot on a pipelineStep 1 of 5 · Day of the round
Inspector: Write it up
The thin spot is found on the inspection round and typed into a report days later, one finding among forty pages.
Lost here
Days, before anyone reads it
With Oil OS
The report is read as it arrives and the finding is picked out, linked to the exact page.
Five hand-offs for one thin spot, and nobody owning the whole thing. What that costs:
Weeks per finding
Time lost between the inspection round and anyone owning the work.
Some overloaded, others idle
Work goes to whoever answers, so load piles up where nobody can see it.
Status built by hand
Leadership sees last month's picture, stitched together from trackers.
Six steps, from finding to finished work.
Follow one real example: a thin spot found on pipeline CL-114. AI reads, splits, ranks, matches and chases; your people approve every step.
Get the findings
Inspection reports, audit reports, meeting notes and emails are read as they arrive. AI picks out every finding and action, and keeps a link to the exact line it came from.
- Works on the documents your teams already write
- Every finding points back to its source page
- Duplicates of work you already have are caught
Get the findings
Inspection reports, audit reports, meeting notes and emails are read as they arrive. AI picks out every finding and action, and keeps a link to the exact line it came from.
- Works on the documents your teams already write
- Every finding points back to its source page
- Duplicates of work you already have are caught
Turn each finding into tasks
Each finding is broken into the tasks needed to fix it, with a due date, the team that owns it, and what needs to happen first. A planner approves them in one click.
- Nobody has to type tasks into a spreadsheet
- Dependencies set: repair waits for the assessment
- Approve, merge or reject in one click
Put the most important work first
Every task gets a score from 0 to 100 based on safety, equipment condition, compliance, deadlines and business impact. The reasons are shown, and any manager can override with a note.
- Priority by rules you set, not by who shouts loudest
- Busy periods, such as a shutdown, re-rank everything at once
- Every override keeps who changed it and why
Give each task to the right person
Oil OS suggests an owner for each task by looking at skills, certifications, reporting line and how busy each person already is. The team lead confirms the choice.
- Certified inspectors for inspection work
- Nobody gets a task they have no time for
- The team lead always has the final say
Balance the workload
Workload is measured in hours, not task count, against each person's working week. When someone is overloaded and a colleague has room, Oil OS suggests moving work, and a manager approves it.
- See who is overloaded weeks ahead
- Suggested moves keep the same skill and certification
- Test a change before you make it
Chase, escalate and close
Owners get reminders by email and chat. If a task is stuck, it is escalated to the right manager automatically. When the work is done, proof is attached, the finding closes, and the reports update themselves.
- Automatic reminders, no manual chasing
- Stuck work escalated before it becomes late
- Live status for leadership, no month-end reports
See who is overloaded, and fix it before work slips.
Each block is a task; the dashed line is the hours a team has. Oil OS spots the overload, suggests who can take the work, and a manager approves.
3 inspection tasks · same certification · due dates kept
Illustrative figures.
Three people, one finding, one record.
The engineer, the department head and leadership each get the screen their job needs, all working from the same findings and tasks.
Chasing stops being a job. It happens on its own.
Drag the line to compare a finding's journey today with the same finding in Oil OS.
Finding to owned task
Sits in reports and spreadsheets
Who gets the task
Whoever answers the email
Team workload
Some overloaded, others idle
One layer that follows the work, not another system to feed.
Findings are written in many places. Oil OS picks them up wherever they start, decides what matters and who should do it, and follows each one until it is done, handing results back to the places your teams already use.
Where work shows up
Where it lands
Sits on top, replaces nothing
Your existing systems stay the record. Oil OS picks up the work that comes out of them and makes sure it gets done.
One thread per finding
From the line in the report to the closed task, every step, owner and decision stays linked, so anyone can see why.
Your rules, not code
How work is scored, who can do what and when it escalates are settings your team can change, not software projects.
Starts small, grows safely
Begin with one team's sources. Add more places, teams and sites as the results prove themselves.
Built for a refinery, not just an office.
An operating layer inside a refinery is held to a different standard. It runs in your environment, stays away from plant controls, and every decision that matters stays human.
Humans hold the pen
AI reads, suggests and chases. Approving tasks, assigning people, changing priority and closing work always stop at a named person, and every override keeps its reason.
Every AI step is logged
What went in, what came out, why, and what the person decided next. Nothing is a black box, and AI accuracy can be measured over time.
Never touches plant controls
A coordination layer only. It never connects to control or safety systems, and safety-critical decisions are never automated.
Runs in your environment
Deploys in your data centre or private cloud. AI is only called through a service your security team approves, and your data is never used to train models.
Only what each role needs
Each person sees only their part of the work. Workload planning needs skills and hours, never salary or HR records.
We deploy it on your floor and own the outcome.
We don't drop software and leave. A forward-deployed engineer learns how your business actually runs, deploys the system on your real work, and drives it into the team, shipping working AI every month.
Onboarding Audit
Context & PlanningA forward-deployed engineer learns how your teams handle findings today, agrees what success looks like and sizes the value before anything is built. You keep the playbook either way.
Explore the Enterprise AI AuditEmbedded AI Implementation
Implementation & AdoptionOne team goes live first. Workload planning and AI features are switched on step by step once each one proves itself, with hands-on training along the way.
Explore Embedded AI ImplementationAI Operating System
Run & OptimizeIt runs on an annual licence with an engineer who keeps it sharp, tunes it to your data and extends it department by department, then site by site.
Explore the AI Operating SystemThe questions every operations leader asks first.
It takes findings from inspection reports, audits, meetings and emails, turns them into tasks, ranks them by importance, gives each task to the right person, keeps workloads balanced across the team, and chases every task until it is closed with proof. AI does the reading and suggesting; your people approve every step.
Take every finding all the way to
finished work.
Bring us one inspection report or one team's tracker. On a call, we'll show its findings turned into tasks, assigned, balanced and tracked to closure.
The first step is always a conversation.