Commerce and business management · Companies running operations on Odoo
Systems Integration and Enterprise Connectivity
At Possition, we remove information silos by connecting your current tools (ERP, CRM, databases) so they flow automatically. Our engineering ensures that data is entered once and is available across the organization without manual errors.
What this service covers
Problems caused by isolated systems
- The same data is entered two or three times in different systems.
- Information never matches across teams: each one has “its” version.
- Reports are built by hand by combining exports from several systems.
- Typing errors spread and are discovered too late.
- The team loses hours on copy-paste work that adds no value.
What we can connect
- WhatsApp and messaging channels.
- Email.
- Excel and Google Sheets spreadsheets.
- CRM and sales tools.
- ERP and management systems.
- Accounting systems.
- Internal platforms and databases.
- External services through APIs.
Integration examples
- Each sale recorded in the CRM automatically generates the invoice in the accounting system.
- WhatsApp inquiries are logged in the CRM with their full history.
- Stock in the management system is synchronized with the sales platform.
- A spreadsheet the team already knows becomes the data-entry interface for a central system.
Security and monitoring
Each integration includes access control, an operations log, and monitoring: if a connection fails, the system alerts before the problem reaches operations. Data travels encrypted and with the minimum permissions needed.
Native connector, generic tool, or custom integration: what fits
There are three ways to connect two systems, and they don't all scale the same as volume or complexity grows.
| Criterion | Native connector | Generic tool (Zapier, Make, etc.) | Custom integration |
|---|---|---|---|
| Initial cost | None, if it exists | Low | Medium |
| Handles complex business logic | No, it's fixed | Limited: gets fragile with many steps | Yes |
| Depends on a third party to maintain it | Yes, 100% | Depends on the platform | No, you control it |
| Performance at high volume | Variable | Can have limits and per-use cost | Designed for the real volume |
| Visibility when something fails | Whatever the vendor provides | Basic platform alerts | Monitoring designed for your operation |
| When it fits | Already exists and covers the case | Low volume, simple logic, speed | High volume, custom logic, or nothing generic covers the case |
Many companies start with a generic tool and migrate to a custom integration once volume or complexity justify it — you don't have to choose upfront.
Real use cases
Implementation process
- 1
Diagnostic
We analyze your process and tell you what to automate, how, and what return to expect.
- 2
Implementation
We build the solution connected to your systems, with working deliveries and real tests.
- 3
Operation and improvement
We leave it running, train your team, and measure results.
The full detail, with deliverables per stage, is in how we work.
Guides to decide
Frequently asked questions
Can you integrate a legacy system that has no API?
Often yes, through alternative mechanisms: file reading, intermediate databases, or interface automation. We assess that case by case in the diagnosis.
What happens if one of the systems changes or is updated?
Integrations are designed to be decoupled and monitored: changes are detected and the adaptation is made in the integration layer, without affecting the rest of the flow.
Can the integration break the current systems?
No: integrations are built and tested in separate environments before touching live operations, and they are deployed with rollback mechanisms.
Do you use tools like Zapier or Make, or build everything custom?
Depends on the case: for simple logic and low volume, a generic tool can be enough. For processes with volume, custom rules, or several systems involved, we build a custom integration.
How long does an integration take?
A single integration between two systems can be operational in weeks. Flows that connect several systems at once take more stages, prioritized by impact in the diagnosis.
What if we have several systems to connect to each other?
It's prioritized the same way as a process automation: the highest-volume or highest-error-impact connections first, expanding the flow from there.
Do we need each vendor's authorization?
It depends on whether the system exposes a public API or requires a commercial agreement to integrate. That's identified in the diagnosis before starting, so it doesn't come up mid-project.
Do your systems not talk to each other?
Tell us which systems you use and what information you copy by hand: we will propose the integration flow.