Configure a product
Start with proven product capabilities, your approved information and a defined operating owner. Confirm the required features and plan during discovery.
IndustriesPRODUCTS + CUSTOM ENGINEERING
Energy, oil & gas
Bring operating context to every field decision.
Connect asset information, maintenance, contractor documentation and operational reporting. We build AI assistance and enterprise workflows around field teams and the systems that govern their work.
For energy operators, industrial service providers, maintenance and field operations teams.
SEE HOW THE TECHNOLOGY WORKS
Make a visible event actionable.
Explore the path from a selected camera view to evidence, review and response.
INTERACTIVE WORKFLOWIllustrative engineering scenario
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Observe a defined scene
Choose a suitable camera view, observable event and agreed collection frequency. Establish what the footage can actually show.
Selected camera framesFrames suitable for the agreed analysis
Read the complete workflow
Observe a defined scene
Choose a suitable camera view, observable event and agreed collection frequency. Establish what the footage can actually show.
Selected camera frames → Frames suitable for the agreed analysis
Add analytical context
Apply configured models, zones and event rules. Review detections and thresholds before relying on a metric.
Frames + configured event definitions → A reviewable event and supporting frame
Review and respond
Give the responsible team the evidence, route an agreed follow-up and assess false alerts during the pilot.
Event evidence + response rules → A human-reviewed operational response
FROM BUSINESS PROBLEM TO WORKING SYSTEM
See the work between the steps.
Choose a workflow and inspect the sources, intelligence, review and outcome. These are engineering examples to scope with your team.
ENGINEERING EXAMPLEExplore at your pace
Maintenance intelligence
Technicians assemble manuals, prior jobs and asset events before they can diagnose a reported issue.
Source context
Asset identity, approved technical documents and maintenance history.
CONNECTED SYSTEMS TO SCOPE
Discuss this workflowCMMS · asset register · document management
AI prepares evidence and recommendations. Work permits, safety decisions and control-system actions remain with authorized personnel and established operating procedures.
A COMPLETE OPERATION, NOT AN ISOLATED DEMO
Three ways to make it yours.
Adopt a product where it fits. Connect it to approved systems. Build a tailored application when the workflow needs more.
Connect the workflow
Map identifiers, permissions, API actions and error paths. Keep the source of truth clear and design an accountable handoff when a system is unavailable.
Build from scratch
Create the portals, mobile experiences, data pipelines and operational interfaces your organisation needs. AI Squad can bring product, design and engineering into one delivery team.
DETAIL YOU CAN EVALUATE
The workflow, fully explained.
Inputs, dependencies and review points remain visible. The measures below are evaluation criteria for your pilot, not claimed customer results.
Maintenance intelligence
Technicians assemble manuals, prior jobs and asset events before they can diagnose a reported issue.
- Required inputs
- Asset identity, approved technical documents and maintenance history.
- What we configure or build
- Retrieve relevant procedures, summarize history and prepare a work-planning brief with source references.
- Human responsibility
- Qualified personnel choose the procedure and authorize work under the permit process.
- Delivery outcome
- An evidence-linked work brief for the authorized maintenance team.
- How to evaluate
- Measure time to assemble context, source completeness and reviewer corrections.
Contractor & procurement workflows
Documents, approvals and delivery commitments are scattered across email and spreadsheets.
- Required inputs
- Supplier documents, contract requirements and purchase-order references.
- What we configure or build
- Check completeness, extract obligations and prepare exception or renewal reminders.
- Human responsibility
- Procurement, legal and operational owners approve terms, supplier status and commitments.
- Delivery outcome
- A shared obligation register with owners, dates and source documents.
- How to evaluate
- Track missing documentation, overdue review and unresolved obligation ownership.
Operational evidence & reporting
Field observations and operational reports cannot be easily reconciled across sites.
- Required inputs
- Approved visual or sensor events, shift context and reporting definitions.
- What we configure or build
- Organize candidate events, annotate evidence and connect reviewed findings to reporting.
- Human responsibility
- Field owners confirm observations, investigate causes and determine the operational response.
- Delivery outcome
- A traceable observation-to-review record with site and shift context.
- How to evaluate
- Review alert quality, coverage limitations and time to an accountable decision.
START WITH ONE MEANINGFUL WORKFLOW
Define it. Prove it. Expand it.
We scope the users, systems and decisions first. A pilot produces a working flow, review criteria and a rollout decision—not a promise that every integration is already available.
Scope the first workflowBring your starting point.
A selected asset class or maintenance workflow
Approved manuals, event history and system-access constraints
Field review, permit and escalation responsibilities
The delivery plan includes
Workflow map · integration contract · test cases · review roles · rollout and support ownership. Scope and timing are agreed after discovery.
BEFORE YOU START
Practical buying questions.
Can we keep our existing systems?
Yes, the starting point is your existing operation. Discovery checks API access, identifiers, authentication and data quality. Where a system cannot support a required action, we agree a safe handoff or a separate integration scope.
Is this a ready-made product or a custom project?
It can combine both. We identify the product capabilities that fit, the configuration required and the engineering work needed around them. Your proposal separates these responsibilities and deliverables.
How do we decide whether the pilot worked?
Agree a baseline, representative test cases, source quality and acceptance criteria before rollout. Review incorrect outputs, failed actions and human effort as well as speed. Expand only when the responsible team accepts the result.