Business process automation with AI, and systems that finally talk to each other.
We connect your ERP, CRM, WhatsApp, spreadsheets, and in-house systems, and automate the workflows that depend on someone copying data today. We use AI only in the steps that need judgment; everything else runs on rules that do not break.
What it is
What is business process automation with AI?
Business process automation with AI means making a company process run on its own from start to finish: data moves from one system to another without anyone copying it, and the steps that used to need a person reading something (an email, a receipt, an order on WhatsApp) are handled by an AI model working within defined rules.
It is not the same as digitizing. Digitizing turns paper into a PDF or a spreadsheet into a system. Automating means that PDF gets read, validated, and posted on its own, and the system raises an alert when something does not add up. The first organizes information; the second frees up hours.
The 4 types
The 4 types of automation, and when to use each
Almost every project combines more than one. Picking the right piece for each step is what decides whether an automation lasts for years or breaks at the first change.
| API integration | Workflows (n8n, Make) | RPA (software bots) | AI agents | |
|---|---|---|---|---|
| Good for | Moving data between systems that have an API. | Chaining simple steps across apps. | Operating legacy systems that only have screens. | Steps that need to interpret a message, a document, or a photo. |
| Breaks when | The API version changes without notice. | The workflow outgrows what the tool can keep tidy. | A screen or a button changes. | Rules are not written down and the agent has to guess. |
| Maintenance | Low. | Low to medium. | High. | Medium: review handoffs and tune rules. |
| Example | Every e-commerce sale lands in the ERP on its own. | A web form creates the CRM contact and notifies the sales rep. | Entering data into a system with no API, as a last resort. | Reading a receipt sent on WhatsApp and recording the payment. |
Our rule of thumb: API whenever it exists, workflows for the simple parts, AI only where judgment is needed, and RPA only when there is no other option.
What we automate
Business process automation examples worth starting with
The best candidates repeat often, follow stable rules, and cost hours or errors today. These show up in almost every company.
Invoice and receipt entry
Reading what arrives by email or WhatsApp, validating it, and posting it in the ERP without typing.
Document processingPayment reconciliation
Matching transfers and receipts against bank transactions and each customer's balance.
Orders that arrive as messages
Taking the order from WhatsApp or email, quoting it with your rules, and creating it in the system.
AI agentsCustomer and vendor onboarding
One data entry that reaches the ERP, the CRM, and billing, validated.
Inventory and sales across channels
E-commerce, marketplaces, warehouse, and ERP in sync, with no spreadsheets in between.
Reports that send themselves
The weekly report someone builds by hand, generated and delivered automatically.
Data and analytics
How to prioritize
How to decide which process to automate first
Five questions we use in the assessment. The more answers are “yes,” the better the candidate.
Does it happen many times a week? Volume is what turns minutes saved into hours.
Can the rules be written down? If every case is decided differently, the process needs sorting out first.
Is an error expensive? Misposted payments, lost orders, wrong tax data.
Is the information already digital? Even as a PDF, a photo, or a message: it just has to exist.
Does it depend on one person? If that person goes on vacation, the process stops.
Systems integration
ERP and CRM integration: how we connect your systems
Every system integrates differently. This is what we evaluate in the architecture phase, before we build.
Through the API, when there is one. The most stable option: Odoo, SAP, HubSpot, Salesforce, Shopify, and most modern systems have one.
Through the database or files, when the system has no API but allows reading or exchanging data in a controlled way.
With a middleware layer, when several systems need to connect and none of them should depend directly on another.
WhatsApp as just another system. Messages, voice notes, and receipts arriving on WhatsApp enter the workflow like any ERP record.
Legacy systems with no API, with documented alternatives and, only as a last resort, a bot that operates the screen.
Already in production
Automations and integrations in production
M.I.C.A · Integrando Salud
Healthcare
An agent that serves patients on WhatsApp and writes directly into each clinic's management system: it registers patients, books appointments, and records verified payments, without anyone keying them in.
Automated receipt reader
Retail
Ingests purchase and sales invoices, extracts the data, and loads it into the ERP and the CRM according to the company's posting parameters.
EMAS S.A.
Manufacturing
An ERP with more than 15 modules that replaced disconnected systems and spreadsheets: purchasing, inventory, production, sales, and administration on a single source of truth.
Errors and exceptions
What happens when something does not add up
An automation is judged by how it handles what it did not expect. These rules are set before going live.
Validation at every step. A field that does not match the system is not loaded: it is flagged.
A human review queue. Whatever the automation cannot resolve lands in a queue for your team, with the reason.
If the AI is unsure, it does not decide. When confidence in a read is low, the case goes to a person.
Retries and alerts. If a system does not respond, it retries and alerts. Nothing gets lost silently.
A complete log. What came in, what was done, and who stepped in, so any case can be audited.
How it is measured
How we measure the impact of an automation
Before we build, we measure how the process works today. Without that baseline there is no honest way to say how much was saved.
Hours per week the team spends on the process, before and after.
Errors caught at each stage: misentered data, misposted payments, lost orders.
Cycle time: how long a case takes from the moment it arrives until it is resolved.
Touchless rate: the share of volume resolved end to end without a person.
Tools
n8n, Make, Zapier, or custom code: what we build with
We do not sell a tool: we choose the right one for each part of the process.
n8n, Make, or Zapier when the workflow is simple and your team should be able to see and adjust it.
Custom code when the workflow has complex rules, high volume, or sensitive data.
The ERP's own connectors when the system already solves the integration.
No lock-in: everything runs in your account and is documented so another team can maintain it.
FAQ
Frequently asked questions
What does business process automation do?
It makes a process run on its own: data moves between systems without anyone copying it, documents are read and validated automatically, and people only step in for the exceptions.
What are some examples of business process automation?
Posting supplier invoices into the ERP without typing, reconciling customer payments against bank transactions, turning orders that arrive on WhatsApp into sales orders, syncing inventory between e-commerce and the ERP, and sending recurring reports automatically.
What is the difference between BPA and RPA?
Business process automation (BPA) redesigns a process so it runs end to end, usually through integrations between systems. Robotic process automation (RPA) is one technique inside it: bots that repeat clicks on a screen. RPA is useful for legacy systems, but it breaks when the screen changes.
What is the difference between RPA and an AI agent?
RPA repeats clicks and breaks when the screen changes. An AI agent understands content (a message, a document) and decides what to do within defined rules. Often the best option is neither, but a proper API integration.
Which AI is best for automating processes?
It depends on the step. To read documents, understand messages, or classify requests, a language model fits; to move data between systems, you do not need AI, an integration is enough. Using AI where it is not needed adds cost and errors.
What if our system has no API?
There are alternatives: reading the database, exchanging files, or, as a last resort, a bot that operates the screen. We evaluate them in the architecture phase and tell you how stable each option will be.
What happens when the AI gets something wrong?
Every read has a confidence score. When it is low, the case is not loaded: it goes to a review queue for your team, with the reason. And every field is validated against the system before it is recorded.
Who maintains the automation?
It stays documented and running in your account. If you want us to maintain it, we do so through our Evolution and support service: adjustments when a system changes, new rules, and incident response.
n8n, Make, or Zapier?
Zapier is the simplest to use, Make supports more elaborate workflows, and n8n can be self-hosted on your own infrastructure, which helps with sensitive data and with cost as volume grows. For complex workflows, none of them replaces a well-built integration.
Related guides
Go deeper on the topic
How to automate business processes with AI (a step-by-step guide)
AI process automation works when you treat it as an operations project, not a software purchase. These are the six steps we follow to take a process from spreadsheets to production.
Read the guideRPA vs AI agents: what RPA is and when an AI agent is the better choice
RPA automates work by repeating what a person does on screen. It works, but it is not always the best option. Here is what RPA is, where it breaks, and when an integration or an AI agent makes more sense.
Read the guideWhat is n8n, what it's used for, and when it makes sense for business
n8n is a tool for connecting systems and automating processes with visual workflows, and you can run it on your own infrastructure. Here is what it is, what you can build with it, and when it is enough for a business.
Read the guideAutomated bank reconciliation: how it works and how AI handles payment reconciliation
A practical guide to bank reconciliation: the manual process, the differences that always show up, why spreadsheets stop scaling, and what changes when AI reads payment receipts and reconciles them on its own.
Read the guide
Other services
What else we build
AI agent development
AI agent development for businesses that need agents to do the work.
See the serviceIntelligent document processing
Invoices, receipts, and contracts that read and file themselves.
See the serviceData engineering and analytics
From scattered data to decisions you can defend.
See the serviceCustom software development
Custom software development for companies that have outgrown off-the-shelf tools.
See the serviceAI consulting
AI consulting that ends in production, not in a slide deck.
See the service
Which process would you like to stop doing by hand?
Tell us what it is, and we will tell you whether it can be automated, with which type of solution, and which systems it touches.