AI, with u.

AI will be bigger than the internet. We help you ride the wave.

We started Aiwu as three architects with years of hands-on experience implementing and building apps on enterprise software: Salesforce, ServiceNow, custom web apps, and integrations with Boomi, MuleSoft, SAP, and Oracle. Our mission is simple: help businesses find where AI actually makes sense. Not to replace people, but to give them better tools for their day-to-day work.

The best way to start with AI is small: understand what it can do, find the spots where it has real impact, and build from there. That's exactly where we come in.

Book a Free Discovery Call
Belgium-based
Model-agnostic
Work with founders directly
aiwu-cli — bash
$ _
✓ Analysing workflows...
✓ Checking data readiness...
✓ Scanning integration landscape...
→ Recommended: 3 use cases identified
→ Priority: Customer support automation
→ Model: GPT-4o + RAG pipeline
→ Timeline: 6–8 weeks
Ready to start? Book a call → _
OpenAI Anthropic Meta Llama Mistral Ollama Google Gemini
Our Story

From Salesforce devs
to AI architects

We didn't start as AI consultants. We started as developers, writing Apex code, building Salesforce apps, automating workflows for companies that had no idea how their own data was structured. We got our hands dirty so clients didn't have to.

Over time, we grew into architects. We started designing the bigger picture: how your CRM talks to your ERP, how a custom app integrates with legacy infrastructure, how data moves across an organisation without breaking things. We learned that the hard part isn't the technology, it's understanding the business well enough to build the right thing.

Then the AI wave hit. When GPT-4 arrived, we saw immediately what was possible. Not as a gimmick, but as a fundamental shift in what software can do. We spent a year going deep: evaluating frontier models, running local models on-premise, building RAG pipelines, wiring LLMs into the kinds of systems we'd spent years architecting.

We founded AIWU Consult because we saw a gap. Most AI consultants are either pure strategists (lots of slides, no code) or pure ML engineers (deep on models, shallow on systems). We're neither. We're builders who wanted to understand the full stack, how it actually works, from the LLM to the business process it's meant to improve. We are here to teach your people how to use it!

🔧
Technical credibility
Years in enterprise systems
⚖️
Model-agnostic
Local, frontier, or hybrid
🤝
Direct access
You work with the founders
🎯
Pragmatic
Working software, not slide decks
🏗️
Fits your architecture
Integrates with what you already have
💶
Budget-conscious
Built to match your investment capacity
2006–2008
Coldfusion & C# websites
Building our first web applications in Coldfusion and C# the world of connecting a database to a website opens.
2008–2016
Salesforce Developers
Writing Apex, building apps, automating sales and service workflows for enterprise clients.
2016–2024
Platform Architects
Designing complex integrations across CRMs, ERPs, custom apps, and legacy systems. Understanding how data really flows in organisations.
2023
The AI Wave
GPT-4 changed everything. We saw what was possible and recognised it as a shift as big as the internet itself.
2026
AIWU Consult
Founded to help European companies adopt AI pragmatically, combining deep technical credibility with honest, builder-first advice.

We believe AI is as revolutionary as the internet itself.

The question isn't whether to adopt it, it's how to start, and how to make sure you get real value from it. Not every workflow needs AI. But the ones that do will transform your business.

0+
Years in enterprise systems
0
Co-founders, hands-on
0%
Model-agnostic approach
Let's talk about your AI journey
Services

Three ways we work with you

Wherever you are in your AI journey (exploring, evaluating, or building), we have a structured engagement model that fits.

01 2–3 weeks

AI Use Case Discovery

Before you build anything, you need to know where AI will actually make a difference. We run a focused workshop series with your team to map your workflows, assess your data readiness, and surface the use cases with the highest impact-to-effort ratio.

Talk about this service
What's included
  • 🗺️ Workflow mapping across departments
  • 📊 Data readiness assessment (quality, volume, accessibility)
  • 🎯 Prioritised use case list with business case for each
  • 🗓️ Roadmap with recommended sequencing and timelines
  • 🔬 Quick feasibility tests on your top 2 use cases

Deliverable: a concrete AI roadmap you can act on immediately, or share with leadership to get budget approved.

02 4–8 weeks

LLM Selection & Integration

Choosing the right model is more nuanced than picking the most powerful one. We help you evaluate the trade-offs (capability, cost, data privacy, latency, and vendor lock-in) and then integrate it cleanly into your existing systems.

Talk about this service
What's included
  • ⚖️ Model evaluation: frontier cloud vs local on-premise vs hybrid
  • 🔒 Data privacy and compliance analysis (GDPR, confidential data)
  • 🔌 Integration with your existing stack (CRM, ERP, APIs, databases)
  • 🧪 Proof of concept with real data, not synthetic test sets
  • 📈 Performance benchmarking and cost modelling

Deliverable: a running integration with documented architecture, clear operational costs, and a handover your team can maintain.

03 6–12 weeks

AI Process Automation

End-to-end build of a working AI automation, from design to deployment. We don't just prototype; we build production-grade systems with proper error handling, human-in-the-loop controls where needed, and full knowledge transfer so your team owns it afterwards.

Talk about this service
What's included
  • 🛠️ Full build: from prompt engineering to deployment pipeline
  • 👤 Human-in-the-loop design where stakes are high
  • 🔄 Feedback loops and monitoring for model drift
  • 🧠 RAG pipelines, fine-tuning, or agentic workflows as needed
  • 🎓 Knowledge transfer: your team understands what was built and why

Deliverable: a production system, not a demo. Documented, tested, deployed, and handed over with training included.

💬

We'll be honest, even if the answer is "not yet"

Not every workflow is ready for AI. If your data is a mess, your process is undefined, or the problem doesn't warrant it, we'll tell you. We'd rather give you an honest "not yet" than a flashy project that doesn't deliver.

LLM Landscape

The right tool for the job

Most AI consultancies push one vendor. We don't. We help you choose the model that fits your actual requirements: capability, cost, data privacy, and operational complexity.

☁️
Frontier (Cloud)
Maximum capability
Cloud API

The most powerful models available, accessed via API. Best when you need state-of-the-art reasoning, multimodal capabilities, or complex instruction-following.

Models / Tools
OpenAI GPT-4oAnthropic ClaudeGoogle GeminixAI Grok
Best for

Complex analysis, content generation, multi-modal tasks, advanced reasoning

⚠

Data leaves your infrastructure. Per-token costs. Vendor dependency.

🖥️
Local (On-Premise)
Full data control
Self-hosted

Open-weight models running on your own infrastructure via Ollama or similar. Your data never leaves your servers, critical for regulated industries and confidential information.

Models / Tools
Meta Llama 3Mistral 7B/8x7BMicrosoft Phi-3Ollama runtime
Best for

Confidential data, GDPR-sensitive workflows, high-volume tasks, cost control at scale

⚠

Requires GPU infrastructure. Smaller models than frontier. Setup complexity.

🔒
Private Cloud
Enterprise data sovereignty
Data Sovereign

Run frontier models like Anthropic Claude or OpenAI GPT-4o inside your own cloud tenant via Azure AI Foundry. You get state-of-the-art capability with a contractual guarantee that your data never leaves your environment and is never used to train any model.

Models / Tools
Claude on Azure AI FoundryOpenAI on Azure AI FoundryAzure OpenAI ServicePrivate model endpoints
Best for

Enterprises handling confidential data, regulated industries (finance, healthcare, legal), organisations with strict data residency or compliance requirements

⚠

Higher cost than shared cloud APIs. Requires Azure subscription and setup. Model selection limited to what providers offer on the platform.

🇪🇺
European Cloud
Sovereign by design
EU Sovereign

AI infrastructure hosted entirely within the EU, operated by European companies under European law. No US Cloud Act exposure, full GDPR alignment, and data that never crosses EU borders, without sacrificing model quality.

Models / Tools
Mistral AI (La Plateforme)Scaleway Generative APIsOVHcloud AIMistral Large / Mixtral
Best for

Organisations that require EU data residency by policy or regulation, public sector, and companies uncomfortable with US-jurisdiction cloud providers

⚠

Smaller model selection than US hyperscalers. Ecosystem still maturing. Some frontier capabilities may lag by a few months.

🔀
Hybrid
Best of both worlds
Production

Route requests intelligently between local and cloud models based on sensitivity, complexity, and cost. Fast local inference for simple tasks, frontier models for complex ones.

Models / Tools
Smart routing logicFallback chainsCost-aware dispatchPrivacy routing
Best for

Production systems at scale where cost, latency, and compliance all matter

⚠

More complex architecture. Requires clear routing rules and testing.

🧠
Fine-Tuned & RAG
Domain expertise baked in
Advanced

Take a base model and specialise it on your data. RAG pipelines give models access to your internal knowledge. Fine-tuning adjusts model behaviour to match your domain and style.

Models / Tools
Fine-tuning pipelinesRAG with vector DBsEmbedding modelsKnowledge bases
Best for

Domain-specific expertise, internal knowledge retrieval, consistent brand voice, specialised tasks

⚠

Needs quality training data. Ongoing maintenance as knowledge evolves.

Not sure which approach fits? That's exactly what the AI Use Case Discovery engagement is for, we help you map your requirements to the right architecture before you commit to any vendor or model.

Talk to us about your setup
How We Work

Simple, transparent process

No mystery. Here's exactly what working with us looks like, from first conversation to deployed system.

☕
01

Discovery Call

30 minutes, no commitment

Grab a coffee with us, virtually or onsite. We listen to what you're trying to solve, share what we've seen work, and figure out if there's a fit. No pitch deck, no sales theatre.

🔍
02

Assessment

Workshops & analysis

We go deeper: map your workflows, audit your data, talk to the people who actually do the work. We're honest about what we find, including the things that need to be fixed before AI makes sense.

🛠️
03

Build & Validate

Iterative, transparent

We build in short cycles and show you working software early. You give feedback on real outputs, not wireframes. If something isn't working, we know quickly and we adapt.

🚀
04

Deploy & Transfer

You own it afterwards

We deploy to your infrastructure and hand it over, not as a black box, but with documentation, training, and a clear picture of how it works. Your team can maintain and evolve it without us.

☕ Start with a coffee

30 minutes. No commitment. Just a conversation.

Get in Touch

Grab a coffee with us

Virtually or onsite in your office. No pitch, no pressure, where are you struggling with, what processes take a huge amount of time...where could AI be a potential great fit.

How it works

1

Fill in the form with your challenge and rough context

2

We read it before the call, so we come prepared, no cold starts

3

We talk for 30 minutes and figure out if and how we can help

4

You get a clear next step: proposal, pilot, or honest "not yet"

📍 Belgium based (remote-friendly across Europe)
📧 consult@aiwu.ai
💬 Response within 1 business day

No budget? No problem. If you're exploring and not sure about scope or cost yet, just tell us. We've all been there. The discovery call is free and we're happy to help you think through the business case.

We typically respond within 1 business day.