AI Consulting & Integration
Your AI project won't be another failed pilot
95% of enterprise AI initiatives never show measurable returns. We're the engineering team that ships the other 5%: AI that processes documents, routes decisions, and saves your team hours every week.
Get a free AI auditNot chatbots. Real integration.
Only 17% of small European businesses use AI today. Not because AI doesn't work, but because most vendors sell hype instead of outcomes. We identify your highest-impact manual processes, wire proven models into the systems you already run, and measure everything.
- Document processing: extraction, classification, and routing that turns 3-day turnarounds into 4 hours
- Smart triage: incoming requests scored, categorized, and routed to the right person automatically
- Data cleanup: anomaly detection, deduplication, and validation that catches what humans miss at 2 AM
- Decision support: structured recommendations with confidence scores so your team acts faster, not blindly
What you get
Automation blueprint
A ranked list of your processes by automation ROI. Not every task needs AI. We'll tell you which ones do and which ones just need a better spreadsheet.
Model selection
We pick the smallest, cheapest model that solves your problem. A frontier model for a classification task is like hiring a surgeon to apply a bandage.
Integration layer
Your AI connects to your existing systems. ERP, CRM, email, file storage. No rip-and-replace. No new tools your team won't use.
Monitoring dashboard
Accuracy, latency, cost per request, drift detection. You'll know exactly what your AI is doing, how well it's doing it, and what it costs.
Human override system
Every automated decision has an escape hatch. Your team reviews edge cases, corrects mistakes, and the system learns. Always.
Cost transparency
AI costs surprise people. We set up tracking from day one so you see per-request costs, monthly spend, and optimization opportunities before the invoice lands.
How we work
1
Audit
We shadow your team for a week. Map every manual process, measure time spent, and rank by automation potential. You get a report with hard numbers.
2
Pilot
One high-impact process. Controlled environment. Real data. Baselines measured before we touch anything so results aren't hand-waving.
3
Measure
Accuracy, speed, cost, user adoption. If the pilot doesn't hit the targets, we adjust before scaling. No sunk-cost rollouts.
4
Scale
Winning pilot goes to production with monitoring, guardrails, and a feedback loop that makes the system better every week.
What to expect
Typical timeline
4-8 weeks for a working pilot
Investment
Starting from EUR 15,000
Your involvement
Sample data access, one subject matter expert, and honest feedback on what's working
Technology
Models and tools we work with
We pick the smallest, cheapest model that solves your problem. Not the one with the best press release.
Python
OpenAI
Anthropic
LangChain
FastAPI
PostgreSQL
Common questions
What's the difference between AI consulting and AI integration?
AI consulting tells you where AI fits. AI integration builds and ships it. We do both, but we're an engineering team first, not a slide-deck shop. A strategy consultancy hands you a roadmap. We hand you a working system connected to your ERP, CRM, and file storage. If you want the full picture before you start, our practical guide walks through it: AI workflow integration guide
Why do most AI projects fail?
Most AI projects fail because they start with the technology instead of a measurable process. No baseline, no owner, no clear definition of success, so nobody can tell if it worked. We start with a process audit and a ROI target, pilot one workflow, and measure against the baseline before scaling. We wrote up the common failure patterns here: why AI projects fail
Our data is messy. Is that a dealbreaker?
No. It's the norm. 43% of companies cite data quality as their top AI barrier. We typically start with a data structuring phase that reveals process improvements on its own. Clean data's the foundation, and we'll help you build it.
How do you keep AI from making expensive mistakes?
Human-in-the-loop from the start. Every automated decision gets a confidence score. Low-confidence outputs go to a human reviewer. The system learns from corrections. We also set hard guardrails: spending limits, rate limits, and automatic fallbacks when accuracy drops.
What does AI integration actually cost?
A working pilot starts around EUR 15,000 and runs 4 to 8 weeks. Ongoing model costs depend on volume and which model the task needs. We set up per-request cost tracking from day one, so spend never surprises you. We break down the full cost picture here: what AI integration costs
What about the EU AI Act?
It's real and it matters. We classify your use cases by risk level, handle the documentation requirements, and build transparency features into the system. SMBs get access to regulatory sandboxes and simplified compliance paths. We'll walk you through what applies to you and what doesn't.
What AI tools and frameworks do you use?
Python for everything. OpenAI and Anthropic models for language tasks. LangChain for orchestration when the complexity warrants it. FastAPI for serving predictions. PostgreSQL with pgvector for embeddings. We don't marry a single vendor. If a cheaper model handles your classification task at 98% accuracy, we use that one.
Stop guessing where AI fits.
Book a free AI audit. In 48 hours you'll know which workflows to automate, what it'll cost, and when you'll see ROI.