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Asset Lifecycle Suite

US$ 8.000,00 US$ 8.000,00
28.800.000,00

Términos y condiciones
Grantía de devolución de 30 días
Envío: 2-3 días hábiles

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Mi ERP Enterprise Asset Lifecycle Management for Odoo 19 — ten disciplines in one module: CMMS, APM, reliability, investment planning, ISO 55001, GIS and HSE
Asset Lifecycle Suite icon

Mi ERP Enterprise — Asset Lifecycle Suite

Enterprise Asset Management for Odoo 19. Asset register, CMMS, asset performance, investment planning, ISO 55001, native GIS, HSE and a mobile/IoT REST API — one module, one database, one login. Built for the mid-market companies that need what IBM Maximo, SAP Intelligent Asset Management and IFS Cloud do, at a price a mid-market budget can carry.

Odoo 19 · Community & Enterprise 10 disciplines · 1 module No CDN · no external JavaScript Multi-company · multi-currency English + Spanish, complete Proprietary · USD 8,000

What it solves


A plant with two thousand critical assets does not lack software. It has a maintenance spreadsheet, an inspection folder, a separate HSE log, an ISO binder, a consultant's investment model, and an ERP that knows none of them. Nobody can answer which asset should we replace first, and what does that cost us if we wait without a week of reconciliation.

This module puts the whole asset lifecycle in one place, inside the ERP that already holds the money, the stock and the people. The asset register is bridged to Odoo's own account.asset for accounting depreciation, to maintenance.equipment for the native maintenance flows, to hr.employee for technicians and inspectors, and to product.product for spare parts. A work order, a risk score and a depreciation line finally talk about the same asset.

And it is honest about the arithmetic: the health index, the Weibull end-of-life curve, the risk priority numbers, the LTIFR and the net present value of an investment scenario are all computed from your own records, on your own server, and every one of them can be opened and traced back to the rows behind it.

Ten disciplines, one module


Not ten apps to buy, integrate and reconcile. Ten menus over one asset table, installed by a single Activate.

Asset master

Multi-level asset hierarchy and functional locations, asset classes with their own dynamic attributes, a multi-axis criticality matrix, QR and NFC tagging, and the bridges to accounting assets and native maintenance equipment.

CMMS

Corrective, preventive, predictive and emergency work orders; preventive plans driven by calendar, meter or condition; work permits for lockout/tagout, hot work and confined space with signatures; inspection templates; failure analysis with RCM and FMEA.

APM — asset performance

Health scoring per asset and per fleet, condition rules that raise events from meter and sensor readings, and the reliability numbers a maintenance manager is asked for: MTBF, MTTR, availability and the bad actors behind them.

AIP — investment planning

Probability × consequence risk assessment, the Strategic Asset Management Plan, competing investment scenarios with their CAPEX, NPV and cumulative risk reduction per fiscal year, total cost of ownership and a value framework.

ISO 55001

The clause catalogue of chapters 4 to 10 preloaded, evidence attached clause by clause, internal audits with PDCA findings and corrective actions, competence management with expiry, and a printable evidence pack for the auditor.

GIS, natively

Leaflet over OpenStreetMap inside the back office — no ArcGIS licence, no external GIS server. Toggleable layers, regulatory zones and watersheds as polygons, linear assets with kilometric segments, and a failure heat map.

HSE / EHS

Incidents, near misses and investigations, hazard identification, a probability × severity risk register with residual risk, corrective actions with due dates, and the eight rolling indicators an HSE lead reports monthly.

Mobile & IoT API

A REST API under /api/eam/v1/: JWT sessions for people, revocable opaque tokens for gateways, per-endpoint scopes, asset scanning, work-order execution, inspections with photos, meter readings, batch telemetry and an idempotent offline-sync endpoint.

LATAM localization

Colombian (DIAN) and Venezuelan (SENIAT) fiscal depreciation schedules out of the box, imported assets carried in their original currency alongside the company one, and the sector report templates for CREG and MPPEE.

AI assistance

Failure probability, remaining-life estimation and IoT anomaly detection computed on your own server. A conversational assistant, photo inspection and narrative reporting that call Claude with your own Anthropic key, under a monthly spend cap you set. Details below.

And the assets that are not machines

Pipelines with risk-based inspection classes under API 580/581 and wells with their daily production; aircraft with life-limited parts counted in hours and cycles; wind turbines with installed capacity and energy produced; rail track and rolling stock; and real-estate assets with their own register. Each vertical has its own dashboard, all of them over the same asset table.

See it running


Thirteen screens captured from the module running on an Odoo 19 database with its own demo data. Nothing below is a mock-up.

Operations Overview dashboard with four KPI cards, the Weibull end-of-life curve of an asset class, assets by state and the criticality distribution
01 · OPERATIONS
One dashboard for the whole operation
Total assets and how many are critical, open work orders and how many are overdue, the fleet health score and ISO 55001 compliance — then the end-of-life curve of an asset class, failure rate against effective age, with the fitted Weibull shape and scale shown on the chart. Assets by lifecycle state and the criticality distribution close the screen.
APM dashboard with the fleet health gauge, the health distribution ring, a health heat map by location and the top-20 risk table
02 · APM
From the fleet index down to one pump
The fleet health gauge and how the fleet splits between excellent, good, fair, poor and critical. Below, a heat map of health band against location — click a cell and it drills into those assets — beside the top 20 ranked by criticality × (100 − health), each with its full location path. IoT devices online, open alerts and open condition events sit on the same screen.
Maintenance backlog kanban grouped by planned week, with criticality, estimated hours, work type and technician on each card
03 · CMMS
The backlog, planned week by week
Work orders grouped by ISO week, each column carrying its own hour count and progress bar. Every card shows the asset, the work type — corrective, preventive, predictive, emergency, calibration, inspection, improvement — the criticality band, the estimated hours, the priority stars and the assigned technician.
Asset register list view showing tag code, name, class, full functional-location path, lifecycle state, criticality level and company
04 · ASSET MASTER
A register, not a spreadsheet
Tag code, asset class, the complete functional-location path down to the individual pump line, the lifecycle state — operational, commissioning, standby, under maintenance, decommissioned — the criticality level and the owning company. Multi-company from the very first record.
HSE dashboard with LTIFR, TRIFR, severity rate, days without incident, near-miss ratio, overdue actions, unmitigated risks and open incidents, plus a hazard Pareto and the monthly trend
05 · HSE / EHS
Eight safety indicators on a rolling twelve months
LTIFR and TRIFR per million hours worked, severity rate, days without a lost-time incident, the near-miss ratio against its target, overdue HSE actions, risks still unmitigated and open incidents. Underneath: the top-10 hazard Pareto, the monthly trend of incidents, recordables and near misses, incidents by severity and hazards by residual risk level.
ISO 55001 dashboard with clause compliance, conformity by chapter, open non-conformities by severity, clauses without evidence, expiring evidence and expiring competences
06 · ISO 55001
Audit-ready, clause by clause
The thirty-six clauses of chapters 4 to 10 with their compliance state, conformity per chapter, open non-conformities banded by severity, and the working lists that actually move a certification forward: the clauses still without evidence, the evidence about to expire with the days remaining, the overdue action plans and the competences expiring per person.
Native GIS map with toggleable layers for operational assets, critical assets, linear infrastructure, electrical safety zones, watersheds, field stations and a failure heat map
07 · GIS
Your assets on a real map, with layers
Leaflet over OpenStreetMap inside the back office. Each layer is toggled on its own and carries its feature count: operational assets, critical ones, linear infrastructure drawn as lines, electrical safety zones, watersheds and field stations as polygons and markers, plus a failure heat map. Filters by criticality band and lifecycle state apply to the whole map.
Asset risk matrix plotting probability against consequence on a 10 by 10 grid, with assets shown as dots and counters for extreme, high, medium and low risk
08 · AIP
Probability × consequence
Every assessed asset plotted on the 10 × 10 matrix over its risk bands, counted as extreme, high, medium and low, and filterable by scenario. Click a dot and the asset opens.
Strategy alternative comparison showing cumulative risk reduction over four fiscal years for three funding scenarios, and the CAPEX committed per year against the annual budget line
09 · AIP
Defend the budget you are asking for
Constrained, balanced and aggressive scenarios side by side with their total CAPEX, their NPV and their annual budget, and the cumulative risk reduction each one buys, year by year. The capital plan below shows the CAPEX committed per fiscal year against the budget line it must not cross.
RCM and FMEA dashboard with the risk priority number distribution, the top-10 failure modes Pareto and a severity by occurrence heat map
10 · RELIABILITY
RCM and FMEA, with the RPN arithmetic already done
Functions, failure modes and their risk priority number — severity × occurrence × detection — banded low, medium, high and extreme, with the average RPN and the count of modes that need action. The Pareto ranks the ten worst modes by name, and the severity × occurrence heat map shows where they cluster.
Specialized assets overview covering pipelines and their kilometres, aircraft fleet and life-limited parts, wind capacity and energy produced, and rail network with rolling stock
11 · VERTICALS
Assets that are not just machines
Pipelines and their kilometres, the aircraft fleet, installed wind capacity with the energy produced, and the rail network with its rolling stock — in one overview. Below, the aviation block ranks the life-limited parts closest to retirement by remaining hours and cycles.
Oil and gas dashboard with pipeline risk-based inspection classes under API 580/581, integrity state, pipelines by fluid and wells by type
12 · OIL & GAS
Risk-based inspection, API 580/581
Pipelines by RBI class from low to high, how many are high risk and how many are shut down, and their integrity state — healthy, monitor, intervention, shutdown. Then the fluid mix, the well types and the daily production in barrels.
EAM Setup Assistant dialog on step 1 of 5, company and fiscal regime, with the step ribbon showing locations, criticality, asset classes and assets
13 · ONBOARDING
From an empty database to a working register
A five-step assistant — company and fiscal regime, a functional-location skeleton, the criticality matrix, a starter asset-class taxonomy, and a first batch of assets — or one Apply everything button. Each step commits its own records as it goes, so the assistant can be closed and resumed without leaving the database half configured.

Five security profiles, ready to assign


They are hierarchical: each profile grants everything the previous one grants. The profile also decides the API scopes a login receives, so the phone in a technician's hand can do exactly what that technician can do in the back office — no more. Record rules keep every model inside its own company.

Profile Typical holder Can do API scopes granted
Technician Field technician Read the asset register, execute assigned work orders, complete inspections, register meter readings asset:read, wo:read, wo:execute, inspection:submit, meter:write, sync
Planner Maintenance planner Create assets, work orders, preventive plans and inspection schedules; assign technicians + asset:write, wo:write
Supervisor Operations supervisor Approve work orders and work permits (LOTO, hot work, confined space); operational dashboards + iot, iot:write
Manager Asset manager Criticality matrices, risk assessment, SAMP and investment scenarios, ISO audits and findings
Administrator System administrator Full configuration, IoT devices, API tokens, AI settings and integrations + integration (every scope)

An API your mobile team can actually build on


Everything lives under /api/eam/v1/. Two kinds of credential share one Authorization: Bearer header: a JWT session for a person using an app — HS256, twelve-hour access token, thirty-day refresh token, revocable from the back office — and an opaque bearer token for an IoT gateway or a server-to-server integration, shown once, stored only as a hash, revoked in one click.

curl -X POST https://erp.example.com/api/eam/v1/auth/login \
  -H 'Content-Type: application/json' \
  -d '{"login":"[email protected]","password":"..."}'

{"access_token": "eyJhbGciOiJIUzI1NiIs...",
 "refresh_token": "eyJhbGciOiJIUzI1NiIs...",
 "token_type": "Bearer", "expires_in": 43200, "refresh_expires_in": 2592000,
 "scopes": ["asset:read","inspection:submit","meter:write","mobile",
            "sync","wo:execute","wo:read"],
 "uid": 7, "company_id": 1}
Scopes, and a company wall

Every endpoint declares the scope it needs, so a token issued for a temperature sensor cannot list the asset base — it gets 403 insufficient_scope. Each credential is bound to one company, and a record belonging to another one answers 404, never 403: the API never confirms that a record exists elsewhere in your database.

Field work survives losing the signal

The client queues each action locally with a UUID it generates itself and pushes the queue to POST /sync when connectivity returns. The UUID is claimed before the business record is written, so re-sending a batch whose response was lost creates nothing twice — the replay hands back the identifiers of the first run. Each operation runs in its own savepoint, so one rejected row is reported and the rest of the batch still lands. The module provides this server side; the mobile client itself is yours to build.

Telemetry

Devices that speak REST push straight to the signal endpoint, one reading at a time or in batches of up to 500. Devices that speak MQTT, Modbus or OPC-UA reach the suite through a small external bridge — and the module itself serves a ready-to-run one for Mosquitto or EMQX, with your instance URL already filled in, at /api/eam/v1/mqtt-bridge.py.

It documents itself

/api/eam/v1/docs serves Swagger UI over an OpenAPI 3.0.3 document generated from the live routing map, so the documentation cannot drift from the code. A Postman collection ships in the module with 51 assertions — login failures, token expiry, scope enforcement, pagination caps, ingestion and the sync idempotency guarantee — and runs headless under Newman.

AI assistance, with the bill clearly labelled


Half of what this module calls AI is statistics, and it runs on your own server with nothing leaving it. The other half is a large language model, and it needs an Anthropic API key that you supply and you pay for. We would rather say so on this page than in a support ticket.

Runs locally. No key, no external call.

Failure probability — a classifier trained on your own work-order and failure history, using scikit-learn when it is installed on the server and a built-in logistic regression when it is not, so the feature works either way.

Remaining useful life — a two-parameter Weibull fitted by maximum likelihood to right-censored lifetimes per asset class, then the conditional remaining life of one individual asset given the age it has already reached.

IoT anomaly detection — robust baselines per signal, and a reading that departs from them is flagged as a condition event.

Needs your own Anthropic API key.

The conversational assistant over the asset base, photo inspection of asset images, root-cause help on an incident, preventive-plan suggestions, the searchable knowledge base and narrative executive reports call the Claude Messages API.

You create the key at console.anthropic.com, paste it into the AI settings, choose which Claude model answers which class of request, and set a monthly spend cap in USD. When the cap is reached the whole AI layer pauses instead of billing on. Every call is written to a cost ledger.

Each capability has its own on/off switch, e-mail addresses, phone numbers and long identity numbers are redacted from prompts before they leave the server, and the assistant never writes to the database on its own: it proposes an action and waits for a human to confirm it.

With no key configured, nothing is fabricated and nothing breaks: the language-model capabilities simply report that they are unavailable, and the statistical ones keep working.

Built on Odoo 19, not bolted onto it


Bridged, not isolated

The asset register links to account.asset, maintenance.equipment, hr.employee and product.product. Every business record carries the chatter, so tracking, followers and activities work exactly as your users already expect.

Nothing loaded from the internet

Dashboards are OWL 2 components drawing with Apache ECharts, maps use Leaflet, and both libraries ship inside the module — no CDN, no third-party JavaScript fetched at runtime. The one outbound request is for map tiles, and the tile URL is a system parameter: point it at your own tile server and the module makes no outbound call at all.

Multi-everything

Multi-company with record rules on every model, multi-currency, and a complete Spanish translation alongside the English source — 4,744 terms, at 100 %. Thirteen PDF reports, twelve scheduled jobs, and it runs on Odoo.sh as well as on your own server.

Requirements and installation


STEP 1 Copy the module into your Odoo addons path — or, on Odoo.sh, commit it to your repository and let the build run.
STEP 2 Restart Odoo, open Apps and click Update Apps List.
STEP 3 Search for Asset Lifecycle Suite and press Activate. The Odoo dependencies are installed for you.
STEP 4 Run the Setup Assistant and let it build your locations, criticality matrix, asset classes and first assets.
You need

Odoo 19.0, Community or Enterprise

PostgreSQL 15+ and Python 3.11+

No paid third-party library and no external service

Odoo apps it depends on

Maintenance · Accounting Assets · Employees · Products · Units of Measure · Discuss — all installed automatically.

What we measured before releasing it


714
Python tests, green
190
Playwright end-to-end tests
84.9 %
Statement coverage
127
Models in the suite

Plus 51 Newman assertions against the live API, a full Spanish translation of 4,744 terms, and a package under 3 MB with no binary blobs beyond the two bundled JavaScript libraries and the screenshots on this page.

GRUPO MI ERP SAS

Colombia · NIT 901.950.475-9 · Author and maintainer of this module

[email protected] [email protected] www.mi-erp.app

Odoo Proprietary License v1.0 · USD 8,000 per Odoo major version · Implementation, data migration and training quoted separately.