Service

We put AI into production processes — from idea to live operations.

Instead of isolated pilots or strategy decks, we identify the use cases with the biggest leverage and ship them to production. You enter where your company is today — and end with a use case that runs in production.

Not sure which engagement fits best? Compare all service areas on the overview page. View service overview

Workstreams

Three steps, enter where you are today

We structure the engagement into clear, self-contained workstreams to make progress measurable and identify risks early.

Identify · find the use cases

We analyze your processes, data and bottlenecks and prioritize the use cases with the biggest leverage. Outcome: a grounded shortlist with effort, value and risk — not generic recommendations.

For you if: "We want to use AI but don't know where to start."

Setup · build the platform

We set up the AI platform that fits your stack — Azure OpenAI, RAG, agents or copilots — with GDPR fundamentals, observability and clear operational ownership from day one.

For you if: "We have pilots but nothing in production."

Implement · ship to production

We build the use case all the way into live operations, integrate it into your processes and software, and leave behind a setup your team can extend.

For you if: "First use cases work, we want to scale."

Use cases

Concrete use cases we ship

A selection of production-bound applications where AI measurably reduces manual work. Which one fits your business is what we figure out in the Identify step.

Classify and pre-book incoming invoices

Check contract clauses against standards

Make your knowledge base queryable (RAG)

Pre-classify and route service tickets

Generate quote drafts from inquiries

Automate compliance document creation

Customer-support copilot with product knowledge

Document classification and extraction

Results

Typical outcomes

  • Use case in production within 8–12 weeks
  • GDPR-compliant operation on EU Azure OpenAI
  • Cleanly integrated AI in existing processes — no isolated experiments
  • A setup your team can extend on its own
Stack

Typical technologies

Azure OpenAI OpenAI Semantic Kernel RAG patterns Azure AI Search Power Platform Copilots .NET integration Dynamics 365
Engagement

How we engage

We get pilots out of the loop: scoping in workshops, platform setup after architecture reviews, implementation in sprint mode. Including technical integration, change management, and a setup your team can extend on its own.

Relevant work

Case examples from similar engagements

View all work
Logistics 2024 – 2025

Digital Travel Expense Management

End-to-end solution for digital recording and approval of travel expenses. PowerApp for trip logging, automatic expense calculation and receipt uploads. Multi-step approval workflow via Power Automate with direct handoff to Dynamics 365 F&O – reducing manual accounting workload by ~80%.

Construction 2024

Order & Invoice Management

Blazor web application for creating orders, delivery notes, and invoices from templates. Automated payment reminders, multi-format export, and Power BI dashboards for order data visualisation.

Construction 2024

Leave & Absence Management

Designed and built a PowerApps solution with a multi-step approval workflow (Power Automate / SharePoint) and automatic handoff to Dynamics 365 F&O. Power BI reports for leave balances and absence analytics.

The next sensible step

Ready for your next practical delivery step?

Share the goal, bottleneck, or timeline pressure. You will get a concrete first assessment within one business day.