Make the system work for your business again

AI Customization Audit and Fix

Audit, code review, refactoring and fixes for AI-built Odoo customizations. Choose one-time support to investigate and resolve a specific problem, or ongoing support to review, test and maintain your AI changes before each deployment.

10+ years with Odoo · Official Odoo Partner · 5/7 or 7/7 support by agreement

Odoo Ready Partner

Official Odoo Partner

ERPixel — Official Odoo Ready Partner

Odoo implementation, development, integration and ongoing support.

Does this sound familiar?

One AI change. A business that cannot work.

Recognize your situation? Start with what happens now and what should happen instead. We help turn the symptoms into a clear business requirement and acceptance criteria.

“We made one AI change. Now the business cannot work.”

We asked AI to adjust an Odoo workflow. It looked like a small change, so we deployed it. Now orders are stuck, our integration has stopped and the team cannot finish its normal work.

We need to understand what went wrong and get the business process working again.

“The server keeps returning errors.”

Our users keep getting Odoo server errors. AI suggests another fix each time, but the errors return. We cannot tell whether the problem is in the code, a module or an integration.

We need someone to review the logs and find the cause.

“AI broke production.”

Everything worked before the latest deployment. AI changed one feature, but other parts of Odoo started failing. We tried another prompt and another deployment. Now we are afraid to change anything else.

We need a repair that has been checked against the rest of the system.

“We cannot roll back the AI changes.”

AI changed several files and something in the database. We do not know which version last worked. Reverting the code has not restored the old behaviour.

We need our Git history, deployments and available backups reviewed before we try another rollback.

“The code runs, but the business task is still not solved.”

AI built what we described, but our team still cannot complete the process. Approvals, exceptions and access rules do not work the way we need.

We need help clarifying the requirement and reworking the solution around it.

Two ways to work with ERPixel

Two support services for AI customization problems

ERPixel offers two services for clients facing difficulties with AI-built Odoo customizations: one-time support for an urgent problem, and ongoing support for continued maintenance and review of future changes.

One-time support (urgent)

For a specific problem that is disrupting your business: production errors after an AI deployment, broken workflows or changes you cannot roll back. Sign a support agreement today and receive a response from ERPixel today.

We investigate logs and the Git repository, deliver an audit report, agree the repair, refactor or fix the code, test the solution and deploy the approved changes. Same-day response means we respond to the incident; the repair timeline depends on the diagnosis.

Production is broken — I need help

Ongoing support

For clients who need continuing technical support while developing Odoo with AI. We review the Git repository and code before deployment, test for vulnerabilities and compatibility, prepare user documentation, and help clarify business tasks and AI prompts. Support is provided 5/7 or 7/7 as agreed in the contract and SLA. Our aim is a long-term support relationship that keeps your Odoo working as your business evolves.

Review my AI changes before release

From audit to approved repair

Four steps, with your approval before repairs

The Audit Report is the decision point between diagnosis and repair. Agree the findings first, then the scope and price of implementation.

  1. 01

    Diagnose

    Review errors, logs, the Git repository, recent deployments and the affected business workflow. Establish what happened, which processes are affected and what needs correction.

  2. 02

    Audit Report

    Receive the main audit deliverable: a description of the situation, findings and recommended corrections, with a proposal to move to a repair estimate. You review and approve the report, with clarifications where needed. We then prepare the repair scope and price for your separate approval before implementation.

  3. 03

    Fix and test

    Make the agreed code changes in a separate Git branch or branches. Test in a separate environment against agreed acceptance criteria. Your technical team can review and accept our code before deployment.

  4. 04

    Deploy and verify

    Agree the release window, backup and rollback approach. Deploy the approved changes, check logs and key business operations, and hand over release notes and user instructions.

Working with ERPixel

How We Work?

Separate branches. Reviewable changes. Code rollback

Dedicated Human Team

A dedicated ERPixel team reviews the business requirement, investigates the problem and takes responsibility for the agreed technical work and release checks.

Dedicated Communication Channel

Work with us through a dedicated communication channel for your requests, questions, progress updates and release decisions.

Git versions under control

We keep changes in separate Git branches so you can review the code and roll back our changes if needed. Database and data recovery are assessed separately from code rollback.

Acceptance by your technical team

Your technical specialists can review and accept our code before deployment. We agree acceptance criteria and address their questions about the implementation.

5/7 or 7/7 availability by agreement

Choose support availability five or seven days a week under your contract. Coverage hours, response targets and escalation arrangements are defined in the support agreement and SLA.

Review and maintenance

Ongoing Odoo support

Review the next AI change before it goes live. Keep developing with AI while ERPixel provides a review and testing stage under an agreed support scope. The aim is to catch problems before the next production release.

Git repository review

Review branches, pull requests, commit history and release changes. Check that the proposed changes are traceable and that the reviewed code matches the planned deployment.

Code review before deployment

Review proposed changes, Odoo extensions, dependencies and error handling. Check whether existing functionality already meets the requirement.

Vulnerability testing

Test agreed areas for security weaknesses, including permissions, record access and exposed endpoints. Findings and remediation are documented; test coverage is defined in the support scope.

Compatibility checks

Check how the change interacts with the current code, installed modules and integrations. Run relevant regression tests before release.

Clarify the business owner’s task

Turn the intended business outcome into a clear requirement, including exceptions, access rules and acceptance criteria.

Improve the AI prompts

Refine prompts with the relevant system context, constraints and expected results. Review the generated implementation against the requirement before deployment.

Why ERPixel

Odoo expertise behind your AI development

A support team that can connect the code to the way your business operates.

10+ years working with Odoo

Experience with Odoo customization, integrations and business processes helps us investigate the impact beyond the line of code that fails.

Understanding of AI development

We review the task, context, generated changes and validation process together, and help improve how your team uses AI.

Incident response and ongoing support

If your business processes have stopped, sign a support agreement today and receive our response today. Ongoing support operates 5/7 or 7/7 under the agreed contract and SLA, with coverage and escalation arrangements agreed in the contract.

Real client experience · France · Odoo 17

An AI change blocked work across six insurance offices

A French insurance company uses Odoo as its core system for insurance premium calculations, office operations, customer service and accounting. One AI-built customization disrupted work across six offices. ERPixel provided urgent repair and now reviews the client’s releases on an ongoing basis.

The change and the failure

The client used AI to modify a percentage calculation for insurance payouts in a specific case, with the aim of making it more accurate and aligned with legal requirements. After the change, opening customer statistics triggered an Odoo error and prevented normal work across six offices.

Urgent code review and repair

Our review identified an outdated implementation approach that was incompatible with Odoo 17. Version management was also poorly organized: there was no straightforward rollback path, and reversing the changes would have required manual work recorded in a new commit.

ERPixel made a targeted code correction and resolved the failure. The immediate task was to restore the affected workflow.

Git and deployment controls

After the repair, we reviewed the code stored in the Git repository and cleaned up the branches. We wrote a prompt that specified how branches should be managed, and adjusted the deployment scripts to prevent untested, unreviewed code from reaching production.

From an urgent fix to ongoing support

The client now works with ERPixel on an ongoing basis. We review each proposed release, perform a technical code review and recommend what needs correction or further rework before deployment.

Related services

Support beyond the immediate fix

Before we start

AI customization audit and fix: questions answered

Do you only review code, or also fix and deploy it?

We provide the complete cycle: diagnosis, audit report, agreed fixes or refactoring, testing and deployment. You review and approve the Audit Report first. It describes the situation, recommends corrections and proposes moving to a repair estimate. The repair scope and price require separate approval before implementation.

Can you recover changes that AI has overwritten?

We first inspect version history, deployment artifacts, backups and database changes. Recovery depends on what is available. If the previous state cannot be restored, we propose how to reconstruct the required behaviour; we do not promise recovery before checking the evidence.

Do you review AI-generated Odoo code from any tool?

Yes. We review the resulting Odoo solution and the process it supports, whether it was created by an AI coding assistant, an AI developer or a team combining human and AI work.

Will you rewrite the entire system?

Only if the assessment supports that decision and you approve the scope. We compare targeted fixes, refactoring, replacement and removal, and keep working code that meets the business requirement.

What do you need to begin?

The symptoms, reproduction steps where available, Odoo version, recent change history and information about the affected workflow. We then agree secure access to the relevant source code, logs and test environment.

Can you review every AI change before deployment?

Yes, as part of ongoing support with agreed review and testing scope. This can include code review, vulnerability testing, compatibility checks, user documentation, task clarification and prompt refinement.

How quickly can you help if our business has stopped?

If your Odoo business processes are not working and you sign a support agreement today, ERPixel will respond today. We clarify the incident and arrange the access needed for investigation. This is a same-day response commitment, not a promise that every incident will be resolved the same day. Support and SLA terms apply under the signed agreement. We aim to build a long-term relationship, helping you recover now and reviewing future changes through ongoing support.

How much does support cost?

We agree the support terms in the contract and establish the audit and repair scope before confirming the estimate and delivery schedule. Ongoing support is provided 5/7 or 7/7 as agreed in the contract and SLA.

Audit · Review · Refactor · Fix

Get your Odoo changes under control

Tell ERPixel what your system should do and what happens instead. Start with diagnosis, agree the repair plan and add ongoing review for future AI deployments.