Automation
Automating a bad process only gets you to the wrong result faster. We start by redesigning, and then we connect.
Almost every company already knows what slows it down. They know because they live with it every day: the quote waiting on a signature, the invoice keyed in twice, the customer who calls because nobody got back to them. What's missing isn't a diagnosis, it's a method.
Prices and discounts that depend on who puts them together. Automated with pricelists, discount policies and approvals by amount or margin.
Keying the same thing into the ERP and the tax tool. Solved by building electronic invoicing (e-invoicing) into the sales flow, not alongside it.
Purchases, discounts and credit notes that live in email threads. Automated with workflows that have an owner, an amount and an audit trail.
Orders, receipts and signatures that someone transcribes later. Digitized at the point where they happen, with automatic reading where it applies.
Follow-up that depends on one person's memory. Automated with credit rules, reminders and policy-based invoicing holds.
Opportunities with no next step. Automated with mandatory activities, inactivity alerts and real pipeline reports.
The principle that saves the most: automating a badly designed process just makes the company repeat the same mistake more times per hour. The redesign isn't an upfront luxury, it's the part that produces the savings.
When the operation already lives in an integrated ERP, much of the work can be handled with configuration and rules, no development needed:
Whatever the standard doesn't cover, we build as a proprietary module, version-controlled and deployed through Git. We've done exactly that for discount control, order picking boards in high-volume warehouses, payroll with payroll taxes, fiscal document numbering by branch and direct thermal printing.
Many "slow" processes aren't badly designed processes: they're processes that cut across three systems that don't talk to each other, and the person in the middle is the integration. That case isn't solved by automating, it's solved by integrating. And when the task really does require interpreting text, classifying or drafting, that's where applied artificial intelligence comes in, built on ERP data.
It's getting a workflow to move forward without human intervention in the steps that don't require judgment. It isn't about eliminating people, but about taking the copying, pasting, keying in, forwarding and remembering out of their day, so they can spend their time on what does require judgment: negotiating, deciding and resolving exceptions.
Four, in order of return: document automation (an order generates the invoice, shipping document and journal entry without re-keying anything), rule automation (approvals by amount, credit alerts, inventory reordering), communication automation (confirmations, payment reminders, sales follow-up) and data automation between systems, which is really integration.
It depends on where the process lives. If the process happens inside the ERP, the best option is almost always to automate it inside the ERP, not with an external tool: fewer moving parts, fewer points of failure and consistent data. External automation platforms make sense for connecting different systems, not for replacing logic the ERP can already run.
The highest-return automations are usually in production within weeks, not months, because they tackle one process at a time. What takes time is the step before: agreeing on how the process should work. That's where it's decided whether the project is worth anything.
To a large extent, yes. Many processes can be automated on top of what you already have, using integrations and rules. The limit shows up when the data is spread across systems that don't talk to each other: that's where automation gets fragile and it's better to fix the foundation first.
A 30-minute conversation is enough to know whether Odoo, automation or an integration solves your problem — and what it would cost to do it right.