Odoo Implementation
An Odoo implementation is a decision project with software attached. We run the decisions first, then build once.
Full-stack Odoo implementation: discovery, configuration, data migration, training, and go-live support with defined milestones and fixed deliverables.
Configuring Odoo is finite work and well understood. What takes the time is agreeing how the business will actually run: which company owns which cost, what a confirmed order commits you to, who may change a price, and what happens to the years of history sitting in the system you are leaving. Those answers are not in the software. They come out of your team, and getting them on paper is most of the job.
So the sequence matters. A module configured against an unsettled process gets rebuilt, and the rebuild always costs more than the meeting that would have prevented it. We map the process, price every gap, put a working prototype in front of you with a slice of your own data in it, and only then move to migration and cutover. You see the system early and often, not once at the end.
Scope is fixed in writing before the build phase starts. Every gap found in discovery is dispositioned as configure, customise, change the process, or leave out, and each one carries a number. That list is the contract. New requests after sign-off are quoted as change requests rather than absorbed quietly into the timeline, which is the only honest way to keep a fixed price fixed.
What is included
- โ Business process analysis & gap assessment
- โ Module selection and configuration
- โ Data migration from legacy systems (SAP, Oracle, QuickBooks, Tally)
- โ User training and documentation
- โ Go-live support and hypercare
- โ Multi-company and multi-currency setup
- โ Phased rollout strategy
- โ Change management planning
How the engagement runs
- 1
Discovery and process mapping
Get the current process on paper and decide which parts of it deserve to survive.
- Walkthrough sessions per function: sales, purchasing, warehouse, finance, HR, whichever are in scope
- Record the exceptions, not the happy path. The happy path is never what breaks a rollout
- List every report someone actually reads, and who reads it
- Identify the numbers the business is managed by, because those decide the chart of accounts and the analytic structure
- Walk the physical operation where there is one: the warehouse, the shop floor, the counter
You end up with: A written process map, a numbered gap list, and the module list that follows from it.
- 2
Solution design and gap resolution
Turn the gap list into priced decisions, so nothing is left to be discovered during the build.
- Each gap gets one of four dispositions: configure, customise, change the process, or leave out of scope
- Custom items are estimated individually and can be cut individually
- Agree the chart of accounts, the numbering conventions and the product coding scheme, in that order
- Define user roles and record-level access before any user is created
- Fix the integration boundary: which system is master for customers, for stock, for prices
You end up with: A signed scope where every gap has a disposition and a cost, plus the design notes behind each one.
- 3
Configuration and prototype
A working system holding a real sample of your data, not a demo database.
- Build the company, warehouse, journal and pricing structure
- Load a representative slice of masters: your awkward products, not your simple ones
- Run pilot transactions end to end, from order through to the ledger entry
- Weekly demo against the process map, with the gap list as the checklist
- Custom work starts here, against a system that already runs the standard flow
You end up with: A prototype database your team can click through, plus a defect and change log.
- 4
Data migration and reconciliation
Opening balances and master data you can prove, not hope about.
- Extract from the legacy system, then clean and de-duplicate before loading, never after
- Map every legacy field to a target field in writing, including the ones you decide to drop
- Load in dependency order: partners, products, then balances, then open documents
- Reconcile control totals against the old system and sign them off with whoever closes your books
- Agree a cut-off date and freeze changes in the legacy system from that point
You end up with: A signed reconciliation pack showing each control total in both systems.
- 5
Training, UAT and cutover
Users who can run a full day of real work before you depend on them doing it.
- Role-based training on your configured system with your data, not on a generic instance
- Scripted user acceptance testing run by the people who will use the system daily
- Defect triage split into blockers, fix-before-go-live, and phase two
- A written cutover runbook with timings, owners and a rollback point
- A go or no-go call against agreed criteria, not against the calendar
You end up with: A completed UAT sign-off, the cutover runbook, and a live system.
- 6
Hypercare and handover
Stabilise the system and move ownership to your side.
- Daily triage in the first weeks, tapering as volume settles
- Fix the configuration issues that only appear under real load
- Tune the reports people actually opened, and retire the ones nobody did
- Administrator handover: users, access, backups, scheduled actions
- A written phase two backlog built from everything deferred during UAT
You end up with: Documentation, a trained administrator, and either a support contract or a clean exit.
What you need to provide
The schedule slips on these more often than on anything technical.
- โ A named decision maker per function with authority to change a process, not just describe it
- โ A project owner on your side who can free those people up when the schedule needs them
- โ An export of the legacy data, plus someone who can explain what the odd columns mean
- โ The chart of accounts and the opening balances, signed off by whoever closes your books
- โ Sample documents you want back out of the system: a quotation, an invoice, a purchase order, a delivery note
- โ Credentials and a technical contact for every system that has to stay connected
- โ Real user time for testing and training, blocked out in calendars in advance
- โ A go-live date that avoids your busiest weeks and your period close
Decisions you will be asked to make
Big bang or phased
One cutover across every function is faster and cheaper when the business is small enough to hold in one head. Phased is safer for multi-site or multi-company groups, but you pay for the bridge period where two systems are both partly true.
How much history to bring
Masters and open items are not optional. Full transactional history is a cost decision, not a technical one. Many teams keep the legacy system readable for a year instead, and migrate only what they need to trade.
How far to bend the software
Every customisation is a maintenance cost you pay again at each upgrade. Some are worth it because they are the actual business. Many are habits inherited from the last system. We ask you to defend each one.
Who owns master data after go-live
If nobody owns the product file and the customer file, both rot within a quarter. Naming the owner during design costs nothing and prevents the duplicate-record problem most ERP projects grow into.
Which reports are conditions of go-live
Reporting is where scope quietly doubles. We ask for the short list the business genuinely cannot close a month without, and treat the rest as phase two.
Where this goes wrong
The failure modes we plan around, and what the plan does about each one.
Scope written as a list of module names
A scope that says sales, inventory and accounting prices nothing. We write scope as outcomes and gaps with a disposition against each, so both sides know what has been bought.
Data cleaned after loading
Cleaning inside the new system is slow, and the mess lands in front of users during their first week. Cleaning happens in the extract, before it touches the target, and the reconciliation proves it.
No named decision maker
Without authority in the room, every gap becomes another meeting and the timeline drifts by weeks with nobody doing anything wrong. Naming the decision maker per function is a condition of starting, not a nicety.
UAT run by the project team
The project team knows the intended path and will not find the problems. Testing has to be scripted and run by the people who will use the system daily, including the ones who were sceptical about the change.
Go-live on a period close or a peak week
Two hard things at once turns a normal defect into a crisis. The cutover date is chosen against your operating calendar in the first phase, while it is still cheap to move.
Customisation before anyone has used the standard flow
Requests raised on day one are usually descriptions of the old system. We ask teams to run the standard behaviour first. A real share of the original custom list gets withdrawn without argument.
Training that ends at go-live
People forget the parts they did not use in week one, which is most of month-end. Refresher sessions are scheduled after the first close, when the questions are real ones.
Not included
Stated up front so the proposal has no soft edges.
- ร Hardware procurement: servers, scanners, printers and network work are quoted separately or bought by you
- ร Odoo subscription fees and any third-party application licences
- ร Writing your accounting policy or setting your approval limits: we implement your decisions, we do not make them
- ร Data your previous vendor will not or cannot export
- ร Process re-engineering beyond the map agreed in discovery
- ร Ongoing support once hypercare closes, unless a support agreement is signed
- ร Content work: product photography, translated marketing copy, catalogue authoring
How this is priced
Well-scoped implementations are quoted fixed-price against milestones. Discovery-heavy or open-ended work runs on transparent time and materials. The published bands show what a single-module and a multi-module rollout start at, and what each band includes.
See the published bands โModules that come up on this work
Ready-built modules from our own catalogue. Where one of these covers the requirement, installing it beats writing it.
Import / Export Power Tools
Powerful data import & export for any model - CSV / XLSX / JSON, upsert, scheduled exports, templates and error logs.
Why here: Every implementation is a data-loading project for a fortnight. A repeatable import that logs its errors beats hand-fixing a spreadsheet at midnight.
ProductivityAudit Log & Access Tracking
Track who created, changed or deleted records - full audit trail with field-level history and access-rights tracking.
Why here: In the weeks after go-live the recurring question is who changed this record. Having the answer stops the blame loop.
ProductivityCloud Backup Pro - Multi-Destination Encrypted Database & Filestore Backup
Encrypted, scheduled Odoo database + filestore backup to S3, SFTP, Local NAS, Google Drive, Dropbox and OneDrive. GFS retention, integrity verification, one-click restore, health dashboard, email/webhook alerts.
Why here: Off-site backups have to exist and be provably restorable before cutover, not after.
ToolsDashboard Builder - Drag & Drop KPI Dashboards
Build live KPI dashboards on any Odoo model - numbers, bar charts, ranked lists & progress, with drag-and-drop tiles.
Why here: Adoption usually turns on a handful of numbers on one screen for managers who will not open a report.
ProductivityApproval Workflow
Multi-level approval for sales orders, purchase orders and invoices, driven by amount bands and conditions.
Why here: Approval limits are one of the first policies a rollout has to encode, and the standard behaviour rarely matches the delegation a business already runs.
Extra ToolsDuplicate Customer Warning
Warn when a new contact has the same name or email as an existing one.
Why here: Master data rots fastest at the customer file. Catching a duplicate at creation is cheaper than merging later.
ContactsOdoo installation, configuration, data migration and Odoo go-live support are all inside this engagement, not billed as extras afterwards.
Where we deliver this
Where you trade decides the accounting and payroll setup an implementation has to land. The country pages carry those specifics.
Odoo Implementation: common questions
How long does an Odoo implementation take?
Single-module projects run three to four weeks. Multi-module rollouts run eight to twelve weeks. Multi-country and multi-company programmes run four to nine months with phased go-lives. The variable is almost never the configuration. It is how quickly decisions get made and how clean the legacy data is.
Can we start with one module and add more later?
Yes, and for most teams it is the better call. Starting narrow gets you a live system with real numbers in it, and the second phase is scoped by people who now know the software. The one thing to settle early is the chart of accounts, because changing it after the ledger has entries in it is painful.
Do you work fixed-price or time and materials?
Fixed-price where the scope is settled, with milestones and a change-request route for anything new. Time and materials for discovery work and for ongoing customisation where the backlog is expected to move. We do not quote fixed-price against a scope nobody has written down.
What happens if we find a gap during the build?
It goes on the same gap list as everything from discovery, gets a disposition and a number, and you decide whether it enters this phase or the next one. Nothing is absorbed silently, because absorbed work is what turns a fixed price into a dispute.
Who does the data migration, us or you?
We do the mapping, the load and the reconciliation. You supply the extract and someone who can explain what the legacy fields actually mean, because the meaning of a column is rarely written down anywhere. Cleaning is a shared job and it is the part teams underestimate most.
What does hypercare include?
Daily triage and fixes for the issues that only surface under real volume, report tuning, and administrator handover. The published bands include one month on the smaller projects and three months on the larger ones. After that it moves to a support agreement, or to you.
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Tell us what you are trying to fix
A 30-minute call is usually enough to tell you whether this is a small piece of work or a project, and to say so before anyone writes a proposal.