Make your business work with AI agents.

We build agents for your teams. We make your products and services usable by your customers’ agents.

Agents as customers Agents as colleagues

AI agents in use or in development with these clients.

  • Bosch
  • Duravit
  • MANN+HUMMEL
  • Schneider Electric
  • Henkel
  • INTERSPORT

Serve your customers’ agents.
Put yours to work.

We make your services work for customers’ agents and build agents for your team.

Customers and their agents

Agent Experience

Find, understand and use your services.

Your products and services

Hybrid Organisation

People and agents work together.

Human owner

Shared knowledge

Your systems

At MING Labs, Agent Experience (AX) means how well an AI agent can find, understand and use a digital service on someone’s behalf.

How agents use your services

A Hybrid Organisation is a company in which AI agents hold defined roles alongside people: each agent has a job description, a human owner and outcomes it is measured against.

How agents join your team

Case study

STREIT

STREIT Office supplies, workplace technology and services · Germany

In everyday use

Meet Tabea.
She already does this at STREIT.

Customer orders reach STREIT by email. Together with STREIT, MING Labs built Tabea, an AI agent in the customer service team. She reads each order email, matches customer and products and prepares the order proposal. Unclear cases go to the team.

Read the STREIT case study

  1. Incoming orders

  2. Tabea prepares a proposal

  3. People handle exceptions

Up to

40–50%

of orders prepared automatically

Up to

120 hrs

capacity gained per month

Target

80%

automation rate, not yet reached

Reported by STREIT · September 2026. Not independently verified. Details

Figures reported by STREIT, not independently verified. The 40–50% figure refers to orders prepared automatically; up to 120 hours is capacity gained per month. The 80% automation rate is a target, not a result already achieved. The source does not specify the measurement period, order volume or capacity calculation. Results depend on the use case.

AI agents for sales, service and operations.

Tabea is one of the agents we have built and deployed. A selection of the others, by job:

  • Sales

    Signal and target group analysis

    Reads notes on target accounts, spots buying signals, scores the fit and builds account maps.

  • Pre-sales

    Tenders and proposals

    Scans tender portals every day, checks the fit, briefs the team with a recommendation and prepares the proposal.

  • Field service · Agentic tool

    Inspection and service report

    Captures observations by voice, matches them to the machine history and writes a standard report with recommendations.

    A person starts each task.

  • Marketing

    Social media and community

    Suggests posts for each location, picks a fitting image, screens comments and drafts replies.

  • Operations

    Pipeline, utilisation and morning brief

    Finds signals, keeps the CRM up to date, tracks utilisation and writes a morning brief.

First the role.
Then the agent.

For your first internal AI agent: a role workshop and a six-week build, each at a fixed price, followed by handover. You approve the build separately.

  1. 01

    Role-shaping workshop

    Half a day with the team leads, on-site

    • Map the team’s roles against the work an agent can own
    • Pick the best first role for an agent
    • Leave with the agent’s job description

  2. 02

    One agent, built and coached

    Six weeks inside your team, on your real systems

    • Onboarded like a hire, with daily feedback
    • Measured against one agreed outcome
    • Autonomy raised only as it is earned

  3. 03

    Handover

    Week six handed over to your team

    • The agent, its job description and runbook
    • The skills, the evaluation tests, the access setup
    • Run it yourselves, or have us stay close
How we build your first agent

Products with AI at the core.

In a Hybrid Organisation, people and agents still need software for their tasks: products, tools and interfaces. We have designed and built them for enterprise clients since 2011. Our UX work now helps people understand what an agent does, check its results and keep the overview.

Client voices

Selected quotes from different engagements.

“MING helped us to deeply understand the needs of our users and quickly build an AI PoC to validate the value of our ideas without losing time and money.”
Ulf Grohmann Voith · GenAI strategy, AI PoC
“Ming Labs played a crucial role in the early stages of developing our analytics platform. They expertly navigated our complex stakeholder landscape, quickly understanding key priorities and generating valuable insights that shaped our direction.”
Munish Myer Johnson & Johnson · analytics platform
“MING Labs delivered a market study for us from which we gained deep and actionable insights. Their expertise in digital customer experience and their way of working with us were key enablers for the success of this project.”
Dr. Marco R. Majer BASF · market study, digital customer experience
Explore all work

Lessons from running
agents in enterprises.

We build and run agents with enterprise teams. Here’s what we learn from the work.

Explore all insights

Hybrid Organisation

We fired an AI agent after 13 days

764 messages. Not one that mattered. What we learned about the difference between tools and roles.

Sebastian Mueller 9 min read

Hybrid Organisation

You don't deploy an agent. You hire one.

The companies getting AI right stopped evaluating tools and started writing job descriptions. The shift sounds semantic. It isn't.

Sebastian Mueller 8 min read

Answers to common questions.

Explore all answers

15 years building
enterprise products.

Founded in 2011, MING Labs builds digital products and enterprise systems. Today, we bring that experience to Agent Experience and Hybrid Organisation, building for agents outside the business and working with them inside it.

Our venture Hyperize measures and fixes how AI agents find, trust, and transact with a brand.

50+ enterprise clients · Founder-owned · Bootstrapped

Meet the team
Matthias Roebel, Founding Partner of MING LabsMatthias Roebel Founding PartnerSebastian Mueller, Founding Partner of MING LabsSebastian Mueller Founding PartnerMarc Seefelder, Founding Partner of MING LabsMarc Seefelder Founding Partner

Put agents to work.

For your customers. With your people.
Built into your business.

Talk to MING Labs

Or start for free: an Agent Readiness Score for your brand, or a role analysis for your team.

Field Notes

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