Data and protection needs
Not all data requires the same level of protection. Classification, context and regulation determine where it should be processed.
BORDONARO AI · AZURE, COMPUTE & AI · CLOUD TO DISCONNECTED
Not everything needs to be offline. Everything needs to stay under control.
We design and operate Azure, compute and AI platforms in the cloud, hybrid, on-premises or fully disconnected. Data and workloads run where protection needs, regulation, latency and operations require them.
8x Microsoft MVP · Azure, hybrid, on-prem & disconnected · 2,516-core enterprise lab
Selected brands from almost 30 years of IT, project and training work (partly under NDA). Historical IT references, not an AI customer list.
WHY NOW
Not cloud or offline. The right operating model for every workload.
Public cloud, hybrid, on-premises and fully disconnected environments can coexist. Data class, latency, regulation, availability and operational responsibility determine the right fit. We translate those requirements into an architecture built on evidence, not ideology.
Operating model
Public cloud, hybrid, on-premises or disconnected: every workload gets the environment that fits operationally, economically and from a regulatory perspective.
Control and responsibility
Identity, access, updates, models, logging and approvals remain governed and traceable across every operating environment.
Data residency alone is not sovereignty.
Sovereignty comes from the ability to choose: suitable platforms, portable operating models, local operational capability and clear accountability. Location is one factor. Architecture and operations make the difference.
THE SOVEREIGNTY SPECTRUM
Sovereignty is not an endpoint. It is a deliberate architecture decision.
One organization can use public cloud, hybrid, on-premises and fully disconnected systems at the same time. BORDONARO AI connects these worlds into one controllable operating model.
01
Public cloud
Fast innovation and elastic scale for data and workloads that belong there.
02
Hybrid & hosted
Cloud services, your datacenter and hosted infrastructure connected with clear data paths and responsibilities.
03
On-premises
Compute, data and AI in your own datacenter for local control, low latency and defined dependencies.
04
Disconnected
For validated requirements without continuous Azure or internet connectivity: a local control plane, local identity and planned offline operations.
The difference is not ideology. It is architecture. Everything where it belongs.
Two paths, one goal: AI you can answer for.
Microsoft MVP in a row, re-awarded every year
800+
professionals trained as a Microsoft Certified Trainer
2,516
CPU cores in our own enterprise lab at DCRN II
30
years in IT, from the datacenter to the boardroom (almost)
All figures documented on dino.bordonaro.de, MVP status publicly verifiable at Microsoft.
„I love working with Dino. He's technical, professional, positive, passionate and curious. He has become one of the world's experts on Azure and Azure Stack that I go to when looking for recommendations on how we can make the product better.“
David ArmourPrincipal Product Manager Lead, MicrosoftAn independent Microsoft product engineering voice on technical depth. Not an AI project reference, and not presented as one.
HOW WE WORK
Four steps from use case to sovereign AI.
Discovery workshop
Your tasks, your data, your risks, taken honestly. A prioritized backlog at the end.
Pilot in the lab
The best use case is built and tested in the enterprise lab before you sign.
Rollout in the right operating model
In Azure, at your site, in our datacenter or disconnected: the platform, assistant and processes are deployed where the target architecture requires them.
Managed operations
Operations, updates, model care. You use the AI, we keep it in the air.
WHAT YOU CAN AUTOMATE
Most work doesn't happen inside your systems. It happens between them.
That's exactly what an assistant takes off your plate. The assistant drafts, the human approves. Click a task to see what's left and what it saves per year.
Sales
Create proposals
Before (manual)
45 min
After (with approval)
8 min
saved per task−37 min
Saved per year≈ 321 hrs
RUN THE NUMBERS · YOUR NUMBERS
What a single assistant gives back per year.
Every assumption is visible and editable. No marketing, just your numbers.
542
hours / year
13.5
work weeks
32,500
€ of working time / year
And what does it cost? The business case.
19.7 months
pays back after
-22 %
ROI in year 1
-9,380 €
Net savings year 1
All values are assumptions, not customer figures. Checking and rework must be part of the automation rate. Without your own measurement no time saving is proven, and gained capacity is not automatically saved salary or revenue.
Pressure-test this business case with usAN AGENCY · WITH REAL PRODUCTS
From use case to the right operating model. One partner.
Product · RAG
Sovereign Assistant
AI assistant with its own knowledge base, roles, permissions and human approval. Operated in the cloud, hybrid, on-premises or disconnected according to requirements.
For: regulated and data-intensive organizations
Product · Voice
VOXA
Transcription with speaker separation and a clearly defined data path. Depending on the operating model, sensitive conversations can be processed fully locally without an external cloud upload.
For: healthcare · law · public sector
Product · Hardware
Sovereign AI Appliance
Validated Azure Local infrastructure with a correctly sized GPU, prevalidated in the enterprise lab. Designed for local and, where prerequisites are met, fully disconnected operating models.
For: local and disconnected operating models
Product · Agents
Sovereign Agents
Workflow automation across your systems, orchestrated in the cloud, hybrid or on-premises with clearly defined data paths and approvals.
For: process automation
Consulting that builds instead of producing slides.
01
Assessment and architecture
Readiness taken honestly, target picture, reference architecture incl. GPU sizing. No slideware.
02
Implementation and rollout
Platform build, knowledge base, GPU deployment. Flown in the enterprise lab first, only then in your production.
03
Managed Sovereign Operations
Operations, monitoring, updates, model care. An escalation model, not finger-pointing. 24/7 optional.
04
Data and RAG engineering
Knowledge base build, retrieval, data quality: the basis for answers you can trust.
05
Compliance and governance
Requirements from the EU AI Act, BSI C5/AIC4, GDPR and, where relevant, VS-NfD are translated into architecture, operations and evidence planning. No certification or approval claim without the responsible assessment.
WHERE YOUR AI LIVES
It doesn't have to be your basement. Ours is in Mutterstadt.
Sovereignty means choosing where your AI runs. Three models, one responsible partner, the same architecture standards.
On-prem
In your own house
The Sovereign AI Appliance in your datacenter or server room: local control and, where required, a disconnected operating model. Especially suitable when protection needs, latency or regulation require a local platform.
Shared and dedicated
In our datacenter
Your AI runs in PFALZKOM's Datacenter Rhein-Neckar II in Mutterstadt, rated availability class 3 Plus as a single site: as a shared AI environment or on dedicated systems. Class 4 applies only to a production architecture explicitly designed with suitable redundancy across DCRN I and DCRN II. Short paths, clear operational responsibility, and a team that knows every rack.
Hybrid
Both, cleanly connected
Sensitive workloads can remain local while suitable services scale in Azure or with us. A shared identity, network and governance architecture connects the operating environments in a controlled way.
Same team, same standards, same contact person, no matter where the GPUs live. The packages below apply to all three deployment homes.
THREE PROOFS INSTEAD OF PROMISES
What has already worked under responsibility.
Three real stories from our work, honestly labeled: the first two are infrastructure and own-operations proofs, not AI customer projects.
Operations under responsibility
200+ dialysis clinics, 7,000 employees, 24/7
For KfH, the team around Dino Bordonaro rolled out a fully automated Azure Stack Hub platform across more than 200 dialysis clinics. Medical IT that treatments depend on, around the clock. Whoever has operated systems like that understands what an AI system must withstand before it is given responsibility.
200+ clinics · 7,000 users · fully automated rollout
Infrastructure reference from the company history, not an AI project.
Our own operations
Our AI operating system runs in our own company, every day
Proposals, receipts, knowledge and processes of BORDONARO IT run on a self-hosted, sovereign AI system. We sell nothing we do not operate ourselves: the Sovereign Assistant and VOXA are daily reality in our own house, not a demo.
Self-hosted · sovereign · productive daily
Own-operations proof of BORDONARO IT.
Scaling under pressure
The stress test: tens of thousands of workplaces into the cloud
When entire workforces could no longer come to the office overnight during COVID, the network around Dino Bordonaro helped move workplaces and applications for tens of thousands of users to Microsoft Azure across several customer environments. Crisis-proven migration experience our rollout methodology builds on.
Tens of thousands of users · several environments · under time pressure
Cloud migration reference from the company history.
WHERE WE COME FROM
Understanding cloud. Operating datacenters. Building offline systems.
Dino Bordonaro combines two worlds rarely found in one person: almost 30 years of Microsoft, datacenter and Azure experience with the design and operation of fully disconnected compute and AI platforms. That is why every BORDONARO AI decision starts with the right operating model, not a product.
„Dino is an exceptionally talented blend of technology and business. He is passionate about doing the right thing, always ahead of new technologies, and has an innate gift for understanding how technology can help customers solve their problems.“
Vijay TewariDirector of Product Management, Google Cloud, formerly Microsoft Product Lead Azure Stack„Passionate, committed, opinionated and execution-strong. That characterizes Dino best. Whoever has Dino as a partner at their side can sleep well at night.“
Michael HollmannIT executive, 25+ years of IT leadershipSelected organizations from almost 30 years of IT work
- KfH
- BMW
- Mercedes-Benz
- Deutsche Bahn
- Deutsche Telekom
- Bayer
- ZEISS
- Schaeffler
- Wacker Chemie
IT, project and training engagements of Dino Bordonaro and BORDONARO IT. Deliberately not presented as an AI customer list. Defense projects exist under NDA.
BORDONARO AI ACADEMY
From the boardroom to the rack.
Most AI trainings end with a certificate. Ours end with something that works on Monday: 20 role-based tracks in four learning paths, from the board to the platform team, with agendas, fixed prices and artifacts.
Go to the AI Academy Start the academy diagnosis
Tracks from career start to platform operations · 4 enterprise programs · certificate and training records included
THE LAB IS THE PROOF
Every architecture flies in the lab first. Only then does it touch your production.
The BORDONARO IT enterprise lab is located in PFALZKOM's Datacenter Rhein-Neckar II in Mutterstadt, rated availability class 3 Plus as a single site. Class 4 applies only to a production architecture explicitly designed with suitable redundancy across DCRN I and DCRN II. Architectures are built, deliberately broken and repaired there before they touch a customer system. Reference figures, not live telemetry.
The Disconnected Operating Framework (DOF) structures planning, artifact transfer, updates, identity, monitoring and operations across connected and fully disconnected environments.
2.516
CPU cores
24 TB
RAM
3.400 TB
storage
200 Gb/s
network fabric
8x Microsoft MVP in a row
Re-awarded every year since 2019, currently in Microsoft Azure and Cloud and Datacenter Management. A personal award of Dino Bordonaro, publicly verifiable.
Verify ↗Microsoft Certified Trainer and 19 certifications
Annually renewed trainer status, plus 19 Microsoft certifications from fundamentals to expert level, individually linked on dino.bordonaro.de.
Verify ↗TOP CONSULTANT 2020 · TOP 100 Innovator 2019 and 2020
Awards of BORDONARO IT GmbH & Co. KG from its founding era: 3rd place TOP CONSULTANT (size class A, based on reference customer surveys) and twice TOP 100 for innovation in the German Mittelstand.
Historical company awards (2019/2020), correctly attributed to BORDONARO IT at the time.
Verify ↗ENGAGEMENT MODELS
Transparent entry points instead of proposal poker.
Four project workshops to get started, three packages on the way to owning your AI. All prices net plus VAT, public, no asking required.
Project workshops
DISCOVERY
Use-case discovery
- Duration:
- 1 day
- Outcome:
- Prioritized use-case backlog and roadmap
from €4,900
ARCH
Architecture sprint
- Duration:
- 2-3 days
- Outcome:
- Reference architecture, GPU sizing, PoC scope
from €9,900
VSNFD
Air-gap / defense check
- Duration:
- 1-2 days
- Outcome:
- Readiness report and action plan
from €3,900
ROADMAP
Sovereign AI bootcamp
- Duration:
- 5 days
- Outcome:
- Strategy, architecture and delivery plan
from €18,500
Packages
Sovereign Pilot
from €24,000
one-off
- Discovery workshop (1 day)
- PoC in our own enterprise lab
- Sovereign Assistant, set up on-prem
Own it
from €35,000
+ ops from €1,490/month
- Sovereign appliance on-site
- Assistant plus your own knowledge base
- 6 months managed basic included
Air-Gap · Defense
custom
quote by scope
- Defense readiness check
- appliance operable disconnected
- Enterprise operations 24/7
Consulting day rate €2,100 · Analysis and consulting formats €3,900-18,500 · Trainings are priced by the BORDONARO AI Academy at €7,900 per training day and group, compact formats from €3,950 · Managed from €1,490/month. Every package available at your site or as housing and hosting in DCRN II Mutterstadt. All prices net, market-based recommendations.
SOVEREIGN-AI CHECK
In 90 seconds: how sovereign and ready are you really?
Eight questions. Honest answers. A result with a clear recommendation.
THE NEXT STEP
Put your AI in the right place.
In 30 minutes, we identify which workloads belong in Azure, hybrid, on-premises or disconnected environments, and which next step actually makes sense.
I'll get back to you personally as soon as possible.