WD Agentur

AI integrated into your systems.

We help you embed AI in the software you already run: fewer manual steps, clearer data flow between tools, and automations your team can rely on—not a one-off demo.

  • AI Integrations
  • Workflow Automation
  • Production Support

What we do

Integration, automation, and smarter workflows.

From connecting APIs to building repeatable processes—here’s how we usually help.

AI inside your systems

We connect AI to the tools you already use—CRM, ERP, internal apps—so it works where your team works.

Automations

Repeatable workflows: routing, drafting, tagging, alerts—less manual work, fewer copy-paste steps.

Digital integrations

APIs, webhooks, and data sync between systems so information flows without double entry.

Documents & data

Pull structure from PDFs, emails, and forms into your database or downstream tools.

Product features

Smarter screens in your SaaS or internal tools: search, suggestions, and assistive UI where it helps.

Insights & prioritization

Rank, score, or summarise so people spend time on what matters—not on sorting noise.

How we deliver

Solid foundations, not surprises later.

We plan data, access, integrations, and cost up front—so what we ship stays maintainable.

A.Clear data flow

We agree what data goes in, where it lives, and who can see it—before we build.

B.Right tool for the job

We pick models and services that fit your speed, quality, and budget—not the trend of the week.

C.Stable integrations

APIs and fallbacks are planned so updates don’t break your day-to-day operations.

D.Access & permissions

Roles and limits match how your organisation already works.

E.Visibility in production

Logging and checks so you can see what ran and fix issues quickly.

F.Predictable cost

Usage caps and monitoring so bills don’t surprise you.

Delivery

A simple path from idea to live.

Short phases: align on the goal, design the integration, build and test with real cases, then launch and refine.

01.Goal & fit

What should improve, what systems are involved, and what success looks like.

02.Design

How AI plugs into your stack: integrations, data, and a realistic rollout plan.

03.Build & test

We wire it up, test with real scenarios, and fix edge cases before go-live.

04.Launch & tune

We go live with monitoring, then adjust quality, speed, and cost as you learn.

Budget & timeline

Three fixed AI plans with defined outputs.

Each plan has fixed base pricing and clear deliverables. Scope changes only if additional systems, automations, or compliance constraints are added.

AI starter integration

€3.000

Typical timeline: 3-5 weeks

One focused AI workflow connected to your existing tools.

  • One use-case definition + success metric
  • Data flow and access boundaries
  • Integration into one system/workflow
  • Testing with real examples + launch handover

AI operations rollout

€5.000

Typical timeline: 6-9 weeks

Multiple connected automations for one department or product area.

  • 2-4 connected flows with shared logic
  • Permissions, routing rules, and fallback handling
  • End-to-end testing across systems
  • Monitoring baseline + first optimization cycle

AI platform layer

€8.000

Typical timeline: 10-16 weeks

Cross-system AI architecture for heavier production usage.

  • Shared AI service layer + multi-system integrations
  • Queues/background processing for heavy workloads
  • Reliability and cost guardrails
  • Runbook + support model for long-term operations

FAQ

Quick answers.

Integrations, data, timelines, and what happens after go-live.

Do you train custom models from scratch?

Usually no. We integrate proven AI services and models into your systems and tailor behaviour with your data and workflows.

Can you connect AI to our existing software?

Yes—that’s the default. We work with your CRM, ERP, internal tools, and APIs.

How do you treat sensitive data?

We agree upfront what may leave your environment, who can access what, and how we log and encrypt.

Which AI providers or models do you use?

We choose based on your needs: quality, speed, languages, and budget—not a single default.

What if the AI gets something wrong?

We add checks, human-in-the-loop where needed, and monitoring so you can catch and fix issues fast.

How long does a project take?

Roughly 3–18 weeks depending on how many systems, how clean the data is, and how much we automate.

Do you test before go-live?

Yes—with your real examples so we’re not guessing in production.

Can you help us pick what to automate first?

Yes. We look at impact vs. effort and suggest a sensible first step.

Support after launch?

We offer ongoing monitoring, tweaks, and small extensions as you grow.