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AI Engineering · Processes

Process automation with AI

AI can read, classify, validate, and file invoices, orders, reports, onboarding records, and reconciliations against agreed rules and thresholds. Your team monitors indicators, samples, and exceptions according to the risk and controls defined for the process.

Flow: invoice received
⬇

Input

An invoice arrives by email

⌁

Data extraction

AI reads supplier, amount, VAT and invoice number

◍

Validation and filing

Checks the matching order and logs it in your ERP

✓

Alert under the rule

If it does not pass the agreed controls, the owner is notified with the available reason

What it does for you

From inbox to system, with defined controls

Every business has its own documents and its own criteria. We build the flow around how you work today, not the other way around. If you're not sure which process to automate first, our tools page has a quick guide to help you decide.

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Reads the agreed formats

PDF invoices, photos of delivery notes, email orders, or spreadsheets. We validate variations with samples and route out-of-scope formats to review.

▸

Classifies before acting

Recognizes the type of document it's dealing with (invoice, order, onboarding record, report) and routes it to the right flow.

⬡

Validates against your rules

Checks amounts, VAT, duplicates and cross-references using your business criteria, not generic ones.

◇

Files it in your system

Data that passes the agreed validations can enter your ERP, CRM, or spreadsheet; the remaining cases follow the review path.

⌁

Connects to compatible tools

Email, spreadsheets, ERP, or CRM where their APIs, permissions, and providers allow. Any required license, connector, or migration is defined first.

☰

Escalates to a person when it matters

Cases that do not meet the agreed thresholds go to review with the available reason. The rest follows the configured flow under the defined monitoring.

How it works

An automated process in four steps

You tell us the process

We gather examples, rules, owners, and access details for the systems involved to define what can be automated and what needs human control.

We design the flow

We define what is read, validated, and filed, together with thresholds, handoff, traceability, retention, and operating controls.

We connect your tools

We validate APIs, permissions, and providers for email, ERP, CRM, or spreadsheets and document any connector, license, or migration needed.

It goes live

We deploy the flow under supervision. Your team sees the agreed indicators, samples, and exceptions; autonomy increases only after results and controls are validated.

Use cases

Repetitive processes across different business functions

When the process starts with a phone call or chat, we can combine it with our advanced chatbots to transfer the context and records defined in scope into the system.

Accounting: automatic logging of supplier invoices Purchasing: validating orders against budget Logistics: reconciling delivery notes and invoices HR: onboarding new employees into the system Sales: loading customer orders into the ERP Admin: daily bank reconciliation Customer service: classifying incoming tickets Real estate: generating contracts from forms Clinics: digitizing patient records and reports Hospitality: tracking supplier orders
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24/7 windows configurable with agreed monitoring and contingency
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Spanish, English, and German configurable to sources and scope
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Region, providers, retention, and access documented for the controller
Frequently asked questions

Questions before you automate

Which processes can be automated with AI?

Repetitive processes with identifiable rules and sources may be candidates: invoices, orders, reports, onboarding, or reconciliation. We assess data quality, exceptions, integrations, risk, and applicable controls before deciding which part should be automated.

Do we have to switch ERP, CRM or invoicing software?

Not necessarily. We first check the APIs, permissions, licenses, and providers behind your tools. If compatible, we connect the current flow; if a connector, license, or migration is needed, it is defined before implementation.

What happens if the AI isn't sure about a piece of data?

We agree thresholds, rules, and owners. Cases that do not meet them go to review with the available reason; autonomy and handoff depend on the process risk and defined controls.

How long does it take to launch an automated process?

Timing depends on integrations, security, testing, and the owners involved. After technical review we prepare a proposal with scope, controls, and timeline; we do not apply one universal deadline to every process.

Where is the data the AI processes stored?

Region, providers, retention, and access are defined in the design and contract. We can prioritize EU infrastructure where scope and providers allow. GDPR compliance depends on the design, controls, agreements, and controller obligations; we log what is needed for the agreed traceability, not every document or decision by default.

Stop typing what AI can read for you

Tell us which process takes most of your week. After reviewing samples and integrations, we prepare a proposal with scope, controls, and timeline.