The well goes down at 7:00 PM.
The condition is recorded, but the surrounding production, maintenance, and asset context is still scattered.
RealAware’s Production Response Agent—a governed response agent—assembles the SCADA, production, maintenance, and asset evidence around an exception, recommends the next action, routes it to a named human for approval, and verifies whether the operation recovered. Your existing systems remain authoritative.
A production exception can be visible in a system long before the right person has the context to act.
The condition is recorded, but the surrounding production, maintenance, and asset context is still scattered.
The signal exists, but ownership, evidence assembly, and approval happen through calls, texts, and manual checks.
The cost is not a generic ROI claim. It is the response delay multiplied by this asset’s rate and the operator’s own netback.
RealAware begins with one recurring production exception, one operating team, and one asset group—not a transformation program.
Stage six—governed write-back—switches on after the read-only phase earns it: DRY_RUN first, LIVE on your schedule.
Designed for lean upstream teams: production teams managing hundreds of wells across separate SCADA, production, maintenance, and field workflows—where engineers and supervisors still assemble exception context manually.
The operating graph joins the relevant evidence and constraints behind the scenes. The operator sees a clear response path, visible uncertainty, named ownership, and human approval before execution.
A production or SCADA exception arrives.
The operating graph joins evidence and constraints.
A bounded intervention is proposed.
A named human signs off with evidence.
Write back where configured, or hand off.
Actual impact informs the next decision.
AI drafts. Your people approve. The ledger verifies.
The copilot only makes claims backed by the operating graph—when the evidence doesn’t support a claim, it says so.
No rip-and-replace. RealAware coordinates the response; your existing systems keep their authority.
Ninety seconds, one production exception—evidence assembled, an intervention recommended, a named human approves, and the recovery is verified.
Three moments from one production exception—the well that went down in the story above.
A bounded action, the system it would write to, and the named person accountable for it—captured before anything leaves RealAware.

Each line is marked grounded, partial, or ungrounded; competing hypotheses stay visible and weighted; and a missing source is stated as a gap instead of being written around.

One row per loop—sensed, approved, executed, verified. A loop that was never measured reads unmeasured rather than being counted as a win.
A compressor problem is not twelve well problems. RealAware sizes the response by dependent production at risk—what sits downstream, how much of it has no alternative feed, and how long the exposure runs.
The same view flags work already scheduled nearby, so one trip can cover both.
Each source shows what RealAware reads, how fresh it is, and whether it can write back. Write-back starts at DRY_RUN: the action is drafted and the intended write is recorded, but nothing posts to your system of record.
Switching a connection to LIVE is your decision, per system, on your schedule.
Nothing is initiated without the accountable person.
Supporting, conflicting, and missing evidence stays visible.
The first engagement does not need to create a new operational dependency.
Completed work is not automatically treated as a successful outcome.
The first Agent Loop starts with a baseline and an agreed scorecard. Both teams can see what changed, what did not, and where the response still loses time.
Production Response Agent · Cost Reconciliation Agent · Materials & Readiness Agent (roadmap)—all running the same governed Agent Loop, capability broker, and decision & value ledger, with no replatforming.