We don't sell AI transformation. We build specific automations that eliminate the most expensive repetitive work in your business - document processing, customer response, data extraction, report generation. Every project starts with an ROI calculation. If it doesn't pay back within 12 months, we tell you before you spend a cent.
what you get.
ROI-first approach
We calculate the current cost of a process in hours and euros before building anything. We proceed only if automation pays back within 12 months. If it doesn't, we say so and you keep your budget.
hours back every week
The tasks that consume 6 to 8 hours of staff time daily - processing orders, sorting emails, entering data - move to automated systems. Your team focuses on judgement work, not repetition.
integrates with what you have
We connect AI models to your existing tools - CRM, ERP, Google Workspace, Slack, internal databases. No system replacement, no data migration crisis. The automation slots in alongside what already works.
GDPR and data privacy built in
Sensitive documents never leave your infrastructure without consent. We offer on-premise AI deployments for regulated industries. Privacy compliance is not a legal add-on - it's part of the architecture.
from process audit to running system.
process audit
We map your most time-intensive repetitive tasks with your team. Each gets a cost estimate in hours per month and an automation feasibility score. You see the ROI potential before any engagement starts.
proof of concept
We pick the highest-ROI process and build a functional prototype in 2 to 3 weeks using your real data. You see it run on actual inputs before committing to a production system.
production build
Full system with error handling, audit logging, human review queues for edge cases, and integration into your existing workflow. Security and GDPR compliance are part of the build, not a post-launch checklist.
rollout
Pilot with a small team, measurement against baseline metrics, adjustment. Full rollout once the system is stable and team members are trained.
maintenance
AI models change, business processes evolve. Monthly monitoring, model updates, and system improvements ensure performance doesn't degrade six months after launch.
the questions worth asking.
My business isn't a tech company - is AI automation for me?
More likely yes than no. AI automation delivers the most value in businesses with high volumes of repetitive knowledge work - order processing, document handling, customer communication, data entry, reporting.
You don't need a tech team. We build and maintain the system. You need a process that costs you real time and money, and the willingness to measure results.
What are the most common use cases you build?
The four highest-ROI automations we build regularly: incoming email classification and routing (saves 2 to 3 hours/day for support teams), invoice and document data extraction (eliminates manual data entry), automated customer FAQ response (handles 60 to 80% of tier-1 support volume), and report generation from raw data (weekly reports that took 4 hours now run in 10 minutes).
Each has a proven ROI track record and a known implementation cost.
Where does my data go?
Wherever you configure it to go. We use API-based AI models that do not train on your data by default (OpenAI enterprise, Anthropic business tier). For sensitive data, we offer on-premise deployments using open-weight models that never leave your server.
All processing agreements comply with GDPR. We document data flows, retention policies, and can provide the paperwork your DPO needs.
What if the AI makes mistakes?
We build human-in-the-loop checkpoints for cases where errors are expensive. The system handles the 80% of inputs that are clear-cut automatically; the ambiguous 20% go to a review queue for a human decision.
We also set accuracy baselines and monitoring alerts - if accuracy drops below your threshold, you get notified before the problem compounds.
How long does it take to build an automation?
Proof of concept for one process: 2 to 3 weeks. Production system: 4 to 8 weeks depending on integration complexity. Multi-process systems take 8 to 16 weeks.
The audit and POC phase is intentionally short so you can validate the value before committing to the full build.
What does the maintenance retainer include?
Monthly model performance check, accuracy report against baseline, system uptime monitoring, and one round of adjustments per month. If a model API version is deprecated or an integration breaks, we handle it within the SLA without extra charge.
Retainers start at a fixed monthly fee and scale with system complexity.
start with a free process audit.
Describe your top 3 most time-consuming repetitive tasks. We come back within 5 days with an automation feasibility assessment and ROI estimate. Free, no strings.
get the free audit