AB KineticsBook an intro call

●Agentic AI & AI governance for European industry

Agents that act.Governance that holds.

We build AI agents that diagnose and fix machines — and the governance that lets you trust them to. Engineered in Aachen for industry facing the AI Act, the Machinery Regulation and the Data Act.

Book an intro callPractices
PM1PM2PM3PM4PM51 85012345

1 transfer robot · 2 process module · 3 load lock · 4 EFEM · 5 FOUP

Service agent · logLive
  1. 1Monitoring5 modules · 142 signals
  2. 2Anomaly
  3. 3Diagnosis
  4. 4Proposed action
  5. 5Approval
  6. 6Executed & verified
Autonomy L2 · acts with approval
Title
Service agent · governed action sequence
Drawn
AB Kinetics
Location
Aachen, DE
Scale
1 : 1
Sheet
01 / 05
§02 — The situation

Adopt agents. Regulate them. At the same time.

European industry is being asked to do both at once. Most AI vendors only help with the first half. We were built for the overlap.
57%
of German companies now use AI — up from 20% two years ago.

Src: Bitkom, Sept 2026

56%
of those users name legal ambiguity as a major challenge.

Src: Bitkom, Sept 2026

4
EU regulations touching AI on machines take effect between 2026 and 2028.

Src: AI Act · MR · Data Act · CRA

Revision table — AI on machines, 2026 → 2028

Full timeline & what it means →
  • A02.08.2026AI Act · Transparency duties (Art. 50): disclose AI interaction, label generated contentAnyone deploying chatbots & agents
  • B11.09.2026Cyber Resilience Act · Reporting of actively exploited vulnerabilities and severe incidentsMakers of products with digital elements
  • C12.09.2026Data Act · New connected products must give users direct access to their machine dataMachine builders, OEM service
  • D20.01.2027Machinery Regulation · Applies in full; ML-based safety components need notified-body assessmentMachine builders, integrators
  • E02.12.2027AI Act · High-risk obligations for Annex III systems (deferred by the Digital Omnibus)HR, critical infrastructure, access
  • F11.12.2027Cyber Resilience Act · All essential cybersecurity requirements applyMakers of products with digital elements
  • G02.08.2028AI Act · High-risk obligations for AI in regulated products — incl. machinery (Annex I)Machine builders

Not legal advice — we turn regulation into engineering controls, alongside your counsel.

§03 — Parts list

Four practices, one assembly.

Each practice works alone. Together they take an agent from first idea to governed production — on the machine and in the office.
1P-01Agentic ServiceTroubleshooting agents built on your manuals, tickets and live telemetry that move from answering questions to executing approved fixes on the machine.2P-02AI GovernanceTurn the AI Act, the Machinery Regulation and your own risk appetite into concrete controls — so agents can be trusted with more than a chat window.3P-03Virtual EmployeesDepartment agents with a role, a manager and scoped access — for finance, IT operations and legal teams that want more than a copilot.4P-04Strategy & AcademyRoadmaps tied to measurable outcomes, and hands-on training for the engineers, managers and service teams who will live with the agents.
§04 — Section A–A · Autonomy

An agent earns the right to act.

Autonomy is a staircase, not a switch. Every step up unlocks more value — and requires more control. Pick a level to see what it takes.
Human does→ Autonomy →Agent does

Level L2 · Acts with approval

Executes the fix on the machine after a named engineer signs off.

Controls required

  • Source citations on every answer(L0)
  • Access scoped to role and site(L0)
  • Evidence & confidence shown(L1)
  • Engineer feedback loop into evaluation(L1)
  • Human approval gate per action
  • Action audit log
  • Rollback plan per action class
§05 — Field notes

Built by someone who has held the wrench.

Before agents, we trained engineers on the machines and fixed them on the shop floor. That's why our agents know what they're touching.
100+
field engineers using a production AI service assistant
30+
service engineers in a field test of a troubleshooting agent
3
continents of engineers, sales teams and clients trained on wafer-handling systems
Note 01Production

A global AI service assistant

Led end-to-end delivery of a proprietary AI assistant: prototype to production on Azure, external development teams, LangGraph orchestration and Model Context Protocol for scalable retrieval.

→ In daily use by 100+ field engineers worldwide.

Note 02Now building

From answers to actions

Service agents that execute approved fixes on the machine through tool interfaces — with approval gates, audit logs and rollback built in from day one.

→ Autonomy level L2: the agent acts, a named engineer signs off.

Note 03Research

Troubleshooting agent for semiconductor robotics

A troubleshooting agent combining retrieval-augmented generation with knowledge graphs, tested in industry with service engineers.

→ Field-tested with 30+ engineers; published at AIRSI 2025.

All field notes

Release for production

Pick one machine. One failure. One quarter.

A 30-minute call is enough to find the first agent worth building — and the controls it will need.

Checked
Scope & data
Approved
Your name here
Date
This week
Book an intro callstrategy@ab-k.com