AIMS Adept
Asset Integrity Management System
From asset taxonomy to technical inspection, drawing markup, RBI, preventive maintenance, and AI-assisted RCM studies — in one enterprise web platform.
by Petropardaz Arvand · One Step Ahead
11+
Core functional domains
10
RCM wizard steps
10+
AI providers
100%
Web and role based
AIMS Adept is an enterprise Asset Integrity Management System built for Oil & Gas and Steel operations. It covers the full integrity workflow: hierarchical asset taxonomy, technical documents and interactive drawing markup, technical inspection, RBI reference data, preventive maintenance job cards, and multi-step AI-assisted RCM studies — all in one secure, role-based web environment.
Instead of listing modules in isolation, the page follows the real engineering decision flow: from master data to documents and markup, then inspection, risk, maintenance, and reliability decisions. This structure makes sales and demo conversations faster, clearer, and more professional.
Modules connect conceptually — from master data to maintenance decisions.
01
Assets & business scope
02
Drawings & interactive marks
03
Thickness & inspection data
04
Catalogs & risk settings
05
Preventive job cards
06
AI Moubray wizard
This sequence shows that AIMS Adept is not just a set of forms, but a decision chain from data to action.
Content order follows the real deployment and operating workflow.
Every user is assigned a role with per-module permissions (view, create, edit, delete). Data is scoped by Business Category so multiple clients and contractors can operate securely within one platform.
Location and equipment are modeled in multiple levels for a clear operational view and durable links to inspection, PM, and RCM:
Asset Category / Class / Class Type references standardize the equipment catalog and PM job cards. Equipment codes are generated automatically.
Documents attach to taxonomy levels so drawings, datasheets, and supporting records stay next to operational data. The library accepts a wide range of office, image, and CAD formats.
Technical drawings convert to SVG and are annotated in a Konva-based interactive editor — no external markup tools required. Marks are stored in a structured form and remain attached to the same SVG page for review and edits.
The technical inspection module links field data to asset hierarchy and business scope. Thickness Measurement records are captured against Plant/Unit and Asset so inspection history stays traceable and reportable.
Together with markup, monitoring points (TML/CML) on drawings and measured values live in one connected ecosystem.
For risk-based inspection planning, reference catalogs and advanced settings live in one module—so decisions are consistent, traceable, and repeatable across engineering teams.
PM job cards connect maintenance routines to asset class type, program type, discipline, and executive unit. Scheduling can be time-based, counter-based, or event-driven.
RCM studies run through a guided multi-step wizard. Each step can generate a first draft with AI; the expert reviews and approves the set before the next step unlocks.
Each study uses the Business Category AI configuration, with prompt overrides and an assigned RCM expert. Consistency checks validate asset context and step inputs before advancing, keeping outputs reliable from the start.
Connections to multiple large-language providers are managed inside the platform. API keys are stored encrypted, with a default configuration per Business Category. Authentication modes include API Key, Bearer Token, OAuth2, and None.
Connection testing and model listing are available from the same configuration screen.
Operational grids support import and export, with results tracked in an import/export log (Success / Partial / Failed + row counts). When failures occur, an error Excel file is available for troubleshooting. For auditability, many entities keep a full change history.
Units are defined in a standardized, categorized way and physical unit conversion is disabled; values must be stored and displayed in the system standard unit (no unit-picker UI). Each unit category supports consistent engineering labels and display.
Categories cover length, mass, temperature, pressure, flow, viscosity, density, and other common industrial quantities.
An enterprise-grade data backbone built for asset-integrity volumes, audit history, and concurrent multi-user workloads.
Secure HTTPS/SSL, protection against XSS, CSRF, and SQL injection, session auth for the UI and JWT for the API, plus encrypted AI API keys.
Full browser access with no separate client install. Live data updates and team collaboration suited to enterprise deployment.
Operational grids with filter, search, Excel import/export, and role-based access — designed for long engineering work sessions.
Documents and drawings convert to SVG for a Konva-based markup editor; TML/CML/CL/IG categorization and linkage between marks, measurements, and inspection records.
Customizable risk settings with color-mapped area & financial matrices, GFF calculations, and inspection methods with effectiveness ratings A to E.
A versioned REST API for integration (`/api/v1/`) with interactive OpenAPI documentation at `/api/docs/`.
Visual design aligned with Petropardaz Arvand branding — draggable modals, consistent forms, and modular navigation for day-to-day AIMS teams.
Request a temporary demo account or a guided walkthrough of the integrity journey.