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Pavicore GmbH

Azure and AI that works in production, and keeps working after you take it over.

An independent Microsoft Azure and AI consultancy for DACH and Benelux enterprises. We design the architecture, build it, and hand it over documented, so your team can run it and answer the auditor without us.

  • VBG
  • DHL Express
  • Team SE
  • VA Seven

Two propositions. One accountable engagement.

Azure

Azure architecture, built and handed over working.

Your Azure setup grows faster than the governance around it. We bring it under control: landing zone, migration, cost, security, and Power BI, each built, documented for the regulation that applies, and handed to your team to run.

See the Azure work

AI

AI that reaches production, governed for the EU AI Act.

You get the governed foundation first, then one AI use case that earns its place on it. Finding the use case, turning documents into data, search that answers from your own content, and agents that do the work, each classified for the EU AI Act as it is built.

See the AI work

Azure depth and AI delivery, from one team.

Most engagements at this complexity run on two vendors: one for the platform, one for the AI layer. We do both, so the platform and the AI on top of it come from one engagement.

How an engagement runs, and what it leaves behind.

Every engagement moves through the same three steps. We read what you have, build the fix, and hand it to your team to run. The numbers below are outcomes from that work, each tied to the service that produced it.

  1. 1

    Week one

    Assess

    We read your current estate, rank what actually matters, and tell you what to fix first.

  2. 2

    The engagement

    Build

    We design and build the fix, landing zone, migration, or governed AI use case, documented as we go.

  3. 3

    Close

    Hand over

    You get the working platform, the documentation, and a team that can run it without us.

Outcomes, by service

99.95%

SLA held on the reliability model

Platform reliability & SRE

Three-year cloud TCO−34%

Azure FinOps

BeforeAfter
Mean time to recovery−65%

Platform reliability & SRE

BeforeAfter

Start with a fixed fee. Credit it against the build.

Each assessment has a published price and a defined scope. If you proceed with the engagement it leads to, the fee is credited against it. Most engagements begin here.

Credentials

A 22× certified Microsoft team.

A fully certified Microsoft house. This is the current Microsoft certification poster, sorted by category and seniority level. Highlighted cards are held in-house.

22 Microsoft certifications across the team · 22 of the 64 certifications on the current poster held in-house

The names, and the proof behind each.

Azure, AI, and data, led by Igor and Saša. Each name comes with its certifications and delivered results, set out on the team page.

The proof sits under NDA.

Much of our delivery is for regulated clients in energy, financial services, and healthcare, and not all of them can be named here. Some can: a generative AI knowledge platform for 2,000+ R&D users, a Microsoft Fabric analytics platform live in 12 weeks. Name what you need proof of and we will walk you through comparable work, with the number that moved.

Governance & compliance

  • Architecture documented to the standard your auditor cites.
  • GDPR Article 44 data-transfer restrictions assessed, not assumed.
  • Sovereign landing zone configuration in the Germany West Central Azure region where residency matters.
  • A signed data processing agreement before any engagement starts.
Read our governance approach

Start with the outcome you need to ship.

A short working session to scope the first deliverable and its fixed fee.