IBM Maximo

AI-native software delivery for IBM Maximo.

Turn Maximo requirements into fit-gap analysis, solution design, configuration, automation scripts, tests, and governed implementation artifacts—with product context carried through every stage.

Two minutes

Novexis for IBM Maximo, in two minutes.

One requirement, followed from fit-gap through design and code to human review. Everything on screen is real footage from the factory.

Film: Novexis for IBM Maximo
Fit-gap first

Understand before you customize.

Every requirement is mapped against what Maximo can already do—so configuration, extension, and custom development become deliberate decisions, not defaults.

When a Maximo requirement enters the factory, the first question is never “What code should I generate?” It starts where a Maximo architect would:

  • 1Can Maximo already do this?
  • 2Is this configuration, an automation script, or customization?
  • 3What existing product capability applies?
  • 4What needs to change?
  • 5What downstream artifacts and tests should follow?

Grounded where Maximo teams actually work: work orders, assets and locations, preventive maintenance, workflows and escalations, automation scripts, integrations, and MAS upgrades.

Maximo fit-gap Configuration vs. customization, decided first
Business requirement
Maximo Fit-Gap
OOTB capabilityConfigurationAutomation scriptIntegrationCustom development
Solution design
Configuration + scripts
Test
Pull requestpackaged, traceable, review-ready
IBM Maximo Domain Pack

Product intelligence the factory can actually use.

The Domain Pack is why Novexis reads a Maximo requirement the way a Maximo architect does—it carries the product itself, not just general software knowledge.

What the pack understands

A governed, versioned knowledge asset built around Maximo—its capabilities, configuration model, and how real implementations are delivered.

Domain Pack
IBM Maximo
  • Product capabilities
  • Configuration model
  • Architecture patterns
  • Implementation standards
  • Integration patterns
  • Approved extensions
  • Project-specific decisions
  • Testing standards

Maximo and ORMB share the same Domain Pack architecture—one factory, two deep product specializations.

Bring your own Maximo knowledge

The core pack covers the product. Your implementation extends it—and everything your team adds stays your asset.

  • ✓Your standards — naming conventions, coding standards, and delivery practices your teams already follow
  • ✓Your extensions — approved automation scripts, customizations, and integration patterns from your own Maximo estate
  • ✓Your decisions — project-specific rulings that keep every new requirement consistent with the last one
  • ✓Your ownership — knowledge your experts curate remains yours, versioned and auditable
Layered knowledge

Three layers of knowledge. One governed context.

Novexis grounds every Maximo output in industry context, deep product intelligence, and your own engagement history—kept in separate, governed layers so knowledge stays reusable and ownership stays clear.

A coding agent knows code. A Maximo architect knows the product, the assets it maintains, and every decision the project has already made. Novexis is built to carry all three—each in its own layer.

  • ✓Separated by design — your engagement layer never flows back into the product, and never reaches another customer.
  • ✓Owned where it belongs — Novexis maintains the industry and Maximo layers; the engagement layer is your IP.
  • ✓Cited in every output — fit-gap findings and designs link back to the layer and source they came from.
Layer 1 · Industry

Industry context

The regulatory and delivery context your implementations live in.

UtilitiesManufacturingTransportation & facilities
Layer 2 · Product

Maximo domain intelligence

Maintained and versioned by Novexis—standardized across every team that uses it.

Product capabilitiesConfiguration modelVersion differencesImplementation patterns
Layer 3 · Yours

Your engagement intelligence

Built from your own projects. Owned by your organization. Never shared.

DecisionsConfigurationsExtensionsTroubleshooting history
From BRD to tested change

One Maximo requirement. One traceable record.

A Maximo business requirements document becomes structured requirements, cited fit-gap findings, an approved design, configuration and code, validated tests, and a packaged pull request.

Delivery pipeline Orchestrated on Temporal · governed by human approval gates
1

Intake

requirement received

2

Triage

classify and route

3

Fit-Gap · BA

structure requirements and identify gaps

4

Design · EA

define architecture and assess risk

5

Build & Test

generate code and configuration, then validate

6

Package · PR

package the work and publish the pull request

One requirement becomes a packaged pull request—grounded in the Maximo Domain Pack, governed by your people, and traceable from end to end.
Maximo upgrades

Know what the upgrade will touch before you change anything.

Map existing customizations and automation scripts against target-version changes, review the assessment with your experts, then automate only what you approve.

Human authority

Governed Maximo implementation.

Automation carries the work; your people keep release authority. Every agent action, human review, and decision becomes part of the engagement record.

Approval gates

Pause the workflow at any configured gate. Review requirements, fit-gap findings, design, code, and test results before work proceeds—approve, reject, or return with comments.

Complete audit trail

Enterprise SSO, role- and stage-based permissions, and a full history of agent actions, human reviews, and approval decisions—from requirement to pull request.

Runs in your network

Deploys as a VM or container inside your environment. The only outbound connection is to the model you choose, and data is scrubbed before any model call.

Start with an internal pilot

Prove it before it touches production.

Evaluate Novexis inside your own development environment—no client systems and no production data. Put it in the hands of your strongest Maximo practitioners, measure delivery with and without it, and decide how broadly to adopt on the results.

Evaluation path Your environment · your experts · your measurements
1

Demo

watch real Maximo runs with your team

2

Internal deployment

stand up Novexis in your own dev environment

3

Expert users

your strongest Maximo practitioners put it to work

4

Measured pilot

compare delivery with and without Novexis

5

Practice rollout

adopt as broadly as the results justify

What to measure
Fit-gap turnaroundDesign turnaroundBuild & test outputConsistency across developersOnboarding timeExpert review effort
The pilot runs with the same security model as production—self-hosted in your network, one outbound model connection, data scrubbed before any call.
Built around real Maximo delivery

Watch Maximo work move through Novexis.

This is a recorded run from Novexis's working Maximo environment. It begins with a real delivery artifact and follows the resulting work through the factory to the review gate.

Walkthrough: Maximo Requirement to Reviewed Change
1Maximo Requirement → Reviewed Change3:51

A Maximo requirement, from intake to a reviewed change.

A plain-English Maximo requirement—require recorded downtime before a work order on a critical asset can be completed—is triaged, mapped against the product in fit-gap, designed, and implemented as an automation script with authored unit tests. The run then stops at the human review gate, where your people approve the change.

Bring us a Maximo requirement.

See Novexis take it through fit-gap, solution design, implementation, and test—with the delivery record building as you watch.