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W3DU architects and operates AI agent teams that work 24/7 in your business. From setup to retainer — your AI workforce, tailored. We believe an AI will never be better than a human *using* an AI. It's this synergy we use to accelerate your results.

Our Services

Our Services

Three ways to transform your company with AI agents that work autonomously

From Org Chart to First Heartbeat

AI Workforce Setup

We design and implement your AI agent team — from org chart to first heartbeat. We map your processes, define agent roles, configure heartbeats and skills, and integrate everything with your existing systems.

Agent org chart with defined roles
Heartbeat and skills configuration
Training and documentation
Integration with existing systems
1-3 wks
Setup Time
€5-15K
Investment
5-15+
Agents Deployed
Paperclip
Claude
GitHub
Slack
Linear
Agent Deployment
Concept
Prototype
Development
Launch
Setup Time
1-3 wks
Investment
€5-15K
Product + AI Team Built-In

Autonomous MVP

We build your product AND the AI team that already knows the codebase and operates autonomously. Your MVP launches with an integrated AI workforce that handles development, ops, and iteration from day one.

Functional MVP in production
AI team integrated with codebase
Automated CI/CD and infrastructure
Complete handoff with documentation
2-4 wks
Time to Launch
€8-25K
Investment
3-10+
Built-In Agents
Next.js
Node.js
Paperclip
Vercel
Docker

AI Agent Orchestration

Tasks
Agent Processing
Results
Investment
€8-25K
Built-In Agents
3-10+
Continuous AI Team Management

AI Operations Retainer

Continuous maintenance, optimization, and monitoring of your AI team. We keep your agents running at peak performance, expand capabilities on demand, and deliver monthly performance reports.

Agent monitoring and optimization
Monthly performance reports
Priority support
New agents on demand
24/7
Availability
€1.5-4K
Monthly
<4h
Response Time
Monitoring
Analytics
Paperclip
Alerts
Reports

Agent Operations Network

Response Time
<4h
Monthly
€1.5-4K
Our Experience

AI Agents in Practice.

We believe every project is an opportunity to solve a real challenge. Our AI agent teams operate autonomously across diverse industries — here's what they can do.

Completed

AI Workforce Internal Audit — Engineering & Marketing Squads

Challenge:

Prove, with real timestamps and costs, whether an AI agent workforce can run engineering and content production autonomously — before selling it to clients.

Solution:

Ran our own Paperclip-based squads in production, auditing every execution: cycle time, completion rate, off-hours work and processing cost.

Technologies:

Paperclip, Claude, Internal Audit

Completed

AI-Powered Content Operations

Challenge:

Scale content production without hiring a full marketing team.

Solution:

Deployed an AI content team (writer, editor, SEO analyst) that produces, reviews, and publishes content autonomously — increasing output 5x.

Technologies:

AI Agents, Content Automation

Completed

Autonomous DevOps Pipeline

Challenge:

Reduce deployment bottlenecks and manual ops work.

Solution:

Built an AI engineering team that handles CI/CD, monitoring, incident response, and infrastructure scaling — reducing ops overhead by 70%.

Technologies:

AI Agents, DevOps Automation

In Development

AI-First MVP Launch

Challenge:

Launch a product fast with a team that knows the codebase from day one.

Solution:

Delivered a production MVP with an integrated AI workforce (CTO, engineers, QA) that continues to develop and maintain the product autonomously.

Technologies:

Autonomous MVP, Full-Stack AI

In Development

Fintech AI Operations

Challenge:

Automate compliance monitoring and reporting for a financial platform.

Solution:

Implemented specialized AI agents for compliance checks, transaction monitoring, and regulatory reporting — ensuring 24/7 coverage with zero manual intervention.

Technologies:

AI Operations, Fintech Automation

Completed

Orça Comigo — WhatsApp AI Agent for Household Finance

Challenge:

Couples abandon budgeting tools because logging every expense is manual work. The product had to live where people already are — inside WhatsApp — and turn voice notes and receipt photos into structured, shared financial data in seconds.

Solution:

A multi-tenant AI agent on the WhatsApp Business API. Voice notes are transcribed, receipts are read with OCR, and an LLM with function calling extracts amount, category, date and payer into a shared budget. Either partner can ask "how much can we spend this weekend?" and get an answer grounded in the couple's real data, in the same chat thread.

Technologies:

WhatsApp Business Cloud API, Speech-to-text, OCR, LLM function calling

Read the full case study

Ready to automate?

Let's discuss how AI agents can transform your operations. Schedule a free AI Workforce Audit — no commitment, just clarity.

1

No commitment required

2

Free discovery session

3

Expert AI workforce design