Business process automation

If a process follows the same steps every time, it should not always depend on a person.

I connect tools, data and operating rules to reduce manual work, errors and idle time. AI enters only where it adds value; everything else should stay simple and reliable.

Examples

Automation should remove steps, not add another piece of software.

Value appears when an event in one system automatically triggers the right action in the others, with logs, rules and controls.

01

Leads and CRM

Capture, qualification, assignment, follow-up and CRM updates without manual steps.

02

Documents and data

Data extraction, classification, archiving, notifications and synchronization between systems.

03

Operations

Checks, alerts, reports, approvals and recurring activities orchestrated across applications and people.

Architecture

Workflow where it fits. Code where it fits. AI only where it fits.

Integration

APIs, webhooks, databases, email, CRM, ERP and cloud services connected into one flow.

Control

Error handling, retries, logs, permissions and checks are part of the project: automation must be observable.

Targeted AI

LLMs or predictive models are used where text must be interpreted, classified, extracted or evaluated with context.

Custom software

When a visual workflow is no longer enough, critical logic moves into dedicated software components.

Method

I start from the most expensive process, not the easiest one to automate.

Map

Timing, steps, tools and ownership.

ROI

Recoverable value versus cost and risk.

Workflow

Minimum automation with proper failure handling.

Measure

Time saved, errors avoided and throughput.

Where to start

Show me the process with the most copy-and-paste today.

It is often the fastest way to identify the first automation with a measurable return.

Tell me about the project