We didn't discover this problem in a boardroom.
We've worked inside industrial operations, built integrated operations programs, and watched experienced people piece together the same operating story again and again.
That is why we built Operational Memory.
Built and IOC
Daily alarms per operator
Start-ups performed remotely in IOC
Up from 92% in IOC work
Historical IOC program outcomes
We know the operating consequence.
Production loss. Alarm overload. Delayed decisions. Field visits. Weak handovers. We've worked where these show up on the shift.
The operation learns. The company forgets.
Systems retain data and tasks. The decisions, exceptions, corrections, and validated lessons often remain with individuals.
Experience is moving faster than knowledge.
People change shifts, roles and employers while AI and automation consume more context. Without validated memory, yesterday's lessons stay fragmented.
We've been on both sides of the screen.
We understand the operating workflow and the systems underneath it. Neither matters without the other.
Field operations
Production, abnormal conditions, shift reality
Control rooms
ROC / IOC, alarms, surveillance, SCADA / PI
Engineering
Asset behavior, evidence, procedures, validation
Adoption
Human decisions, change management, measured value
Field reality → operating context → validated decisions → lasting lessons
AI can answer faster. Can your operation remember better?
The technology is moving quickly. Industrial trust still depends on the quality of the evidence, operating conditions, and lessons behind the answer.
Knowledge remains scattered
A memory that gets better with use
Not more dashboards. A way for operations to keep what they learn.
The expertise behind the work.
A focused combination of operations, engineering, executive discovery, growth, and financial discipline—not a wall of biographies.
Jai Kumar Joon
Industrial operations and technology strategy. Connects the operating problem to architecture, execution, and measurable value.
Experience
Upstream integrated operations, SCADA / PI, alarm management, artificial lift, production optimization, and operating by exception.
Darrell Todd
Brings operator context into workflows, handovers, field decisions, and operational adoption.
Role in engagements
Tests whether the proposed workflow works for people on shift—not only in a system diagram.
Kent Baumgardt
Brings engineering reasoning, asset behavior, source evidence, and technical validation.
Role in engagements
Ensures the event–decision–action–outcome chain is technically credible and grounded in evidence.
Lisa Krantz
Executive discovery, sponsor alignment, and translating operational pain into a focused first engagement.
Role in engagements
Helps define the sponsor, scope, operating owner, and commercial path for the initial Blueprint.
Yogashri Pradhan
Buyer conversations, partnerships, market development, and commercial follow-through.
Role in engagements
Aligns customer needs and partnerships around a credible operating workflow.
Baljeet Kaliravna
Commercial structure, financial governance, value discipline, and accountable growth.
Role in engagements
Brings financial rigor to pricing, contracting, investment, and delivery accountability.
One workflow. One owner. A measurable decision.
No broad AI transformation promise. We begin with a specific operating problem, bring the right people in, and test the case for a governed Memory Lane.
Name the loss
Which event, handover, or recurring issue is costing time, production, or consistency?
Map the memory
Identify evidence, operator context, validation, ownership, and the first measurable workflow.
Measure before scale
Activate with operating owners, validate results, and expand only if the case is defensible.
Bring us a problem your operation keeps paying to relearn.
We'll bring operations, engineering, and technology into the same conversation—and tell you whether a Memory Lane is the right fit.