Manual routine work
More time for valuable work
Recurring steps run automatically, freeing your team for customers, decisions and growth.
AI automation for business processes
AI automation that does real work in production — hours back, fewer errors, costs predictable.
The business outcome
Technology is only the tool. What matters is the effect on your costs, speed and team's capacity.
Manual routine work
Recurring steps run automatically, freeing your team for customers, decisions and growth.
Error-prone handovers
Connected systems keep data consistent and remove avoidable transfer mistakes.
Slow processes
Information reaches the right place faster, so work, service and decisions keep moving.
Growing software costs
You get a maintainable system that belongs to you — instead of a dependency deliberately built into someone's business model.
Your economic levers
Our specialty is AI automation. The rest is the engineering around it — the integrations and systems that make automation stick.
Our specialty: AI pipelines & automation
An impressive prototype is the easy part. Production is where AI projects fail: connecting to the systems you already run, handling the input that doesn't fit the template, keeping quality measurable and costs predictable. That engineering is our specialty — and the system we hand over belongs to you, code, documentation and infrastructure included. When AI is not the economical answer, we say so before you spend money.
Review your AI use caseA demo works once; production runs unattended every day. We build for the second case — error handling, fallbacks for uncertain cases and monitoring are part of the build, so quality is measured, not assumed.
No new platform for your team to adopt. AI steps plug into the tools you already run — ERP, inbox, ticketing, file shares — so the process changes, not the people.
GDPR compliance is designed in, not bolted on: EU processing, or models running on your own hardware where data must not leave the house. We only use API providers whose contracts exclude training on your data.
Before work starts we quantify the hours, error costs and delays at stake, set against a fixed price. After go-live, monitoring shows whether the system actually delivers — value checked, not claimed.
How we work
We first assess what the pain point causes today and what a solution could return. Development starts only when the goal, scope and economics are clear.
We capture the hours, errors, delays and follow-on costs the bottleneck causes today.
You receive a fixed-price proposal that sets the goal, expected benefit, scope and weekly plan side by side.
You test working increments and give feedback before unnecessary work is created.
We handle rollout, documentation and training. Code, system and data pass fully into your hands.
Why RealPainPoints
You work directly with the engineer who plans and builds your system. That shortens decisions, prevents misunderstandings and keeps costs and responsibility transparent.
From the first conversation to handover, you work with the same accountable person.
We build the simplest solution that reliably removes your pain point — not the largest one we can sell.
Source code, documentation, infrastructure and data are handed over completely.
The system is tested, documented and built so your team or another partner can take over.
Free initial consultation
Describe the bottleneck and we will assess whether and how it can be solved sensibly. If a software project makes economic sense, you receive a written proposal with fixed price, weekly plan and expected benefit.