What you can expect
A live look at how mid-market engineering and manufacturing
teams in Benelux turn 20+ years of project knowledge into instant,
sourced answers — with a Business AI built for European compliance
from day one.
DESCRIPTION
By 2030, more than six million skilled workers across DACH and
Benelux will retire — and they will walk out the door with decades
of project knowledge in their heads. Every week, somewhere in NL,
BE or LU, a senior engineer hands in their badge and a thousand
quiet decisions they made — about a client spec, a material
substitution, a geometry that almost failed - leave with them.
Meanwhile, the engineers who remain keep searching. Across
SharePoint, file servers, CAD vaults, Outlook archives and old
project drives, engineers in mid-market industrial companies lose
an average of 1.5 hours every day to internal search. That is
roughly eight working weeks per engineer - gone.
European mid-market leaders are now closing that gap with
Business AI. But most projects stall: buried under custom
integrations, blocked by IT-Security, or pinned to ChatGPT-style
tools that cannot reach the data that actually matters.
In 45 minutes, we will show you a different path. You will see
amber working live on real engineering data. You will hear what and
how the mid-sized mechanical engineering company Kemper GmbH
deployed AI, what it returned, and what they would have done
differently, if they did it again. You will leave with a hands on
plan you can run with your own team - and clear, documented answers
for your IT-Security and Data Protection colleagues will be
available before they ask.
WHAT YOU'LL LEARN
-
- How
to capture the tacit knowledge of retiring senior engineers —
across CAD vaults, project archives and inboxes - before it leaves
the building
- Why
a Business AI grounded in your own documents (with sources)
outperforms ChatGPT and Microsoft Copilot for technical and
engineering knowledge work
- The
three practical layers of AI adoption in industrial mid-market -
Search, AI chat, autonomous Agents - and which one to start with
given your data maturity
- How
amber meets the EU AI Act, GDPR and ISO 27001 by design, so
IT-Security signs off in days, not quarters
- The
exact 4-week pilot path that turns a Business AI evaluation into a
measurable success metric — without a six-figure integration
project
- What
this actually costs — license, implementation, ongoing - with one
customer's real numbers, openly shared
WHO THIS IS FOR
CIOs, Heads of IT and Digital Transformation Leads evaluating
Business AI for the technical mid-market. Heads of Engineering,
R&D and Operations who are losing time to fragmented
information. IT-Security and Data Protection Officers asked to
greenlight AI initiatives under the EU AI Act. Knowledge Management
and Innovation leads building a 12-month internal AI roadmap.
If your company has between 50 and 3,000 employees, designs or
makes something physical, and has more than a decade of project
history sitting on internal drives — this session was built for
you.
