MING Labs — Agent Experience and Hybrid Organisation
Last updated: 2026-10-06. Customer results are dated, attributed snapshots. Current offers and source-specific evidence are linked below.
MING Labs builds and runs AI agents in enterprise teams, connects them to existing systems and knowledge, and makes products and services discoverable and usable for customers’ agents.
MING is an enterprise implementation partner. Its work includes building agents, connecting them to existing systems, setting permissions and human responsibilities, testing workflows with the team, and supporting operation and improvement.
Agents as customers: Agent Experience
At MING Labs, Agent Experience (AX) means how well an AI agent can find, understand and use a digital service on someone’s behalf.
MING makes product information, services and business tools accessible to the agents customers use. Examples include product search, comparison, configuration and enquiry preparation. The scope depends on the customer's systems, the agent platform and the permissions required for the task.
The work follows three questions:
- Discover: Can an agent find the relevant information or service?
- Trust: Can it check the product facts, conditions and evidence?
- Act: Can it use the service or complete an authorised step?
Implementation can include structured content, APIs, tool interfaces and changes to existing workflows. Browser access, authentication and transaction support vary by platform; a successful test in one environment is not a guarantee for every agent. Discovery and successful task completion are separate measurements.
Agent Experience services · Canonical definition
Agents as colleagues: Hybrid Organisation
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.
MING starts with a real task and the people responsible for it. A customer-service agent might read an order email, match customer and product records, and prepare a proposal. People review proposals, handle unclear cases and decide the agent's permissions.
MING builds and tests the agent, connects it to the company's systems and knowledge, onboards the team, and supports operation. The implementation defines the human owner, access boundaries, approval rules, activity record and criteria for a useful result. Hosting and model choices are agreed with the customer's IT requirements.
The ABC Framework is a way to discuss tasks: judgment and relationships; structured expert work; and routine operations. It is a planning aid. Automation rates and time savings need to be measured for the actual workflow.
Hybrid Organisation services · Canonical definition · ABC Framework
Customer case: STREIT and Tabea
STREIT is a German provider of office supplies, workplace technology and services. MING Labs built Tabea with STREIT to prepare customer orders. The AI service agent reads incoming emails, matches customers and products, and creates order proposals. Unclear cases go to the customer-service team.
| Measure | Customer-reported figure | Scope |
|---|---|---|
| Order preparation | Up to 40–50% | of orders prepared automatically; not end-to-end autonomous order completion |
| Monthly capacity | Up to 120 hours | capacity gained per month |
| Future goal | 80% | target automation rate; not an achieved result |
Reported by STREIT · September 2026. 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.
Experience and people
Founded in 2011, MING Labs has 15 years of enterprise product and systems experience and has worked with 50+ enterprise clients. It is independent, founder-owned and bootstrapped. Its founders are Matthias Roebel, Sebastian Mueller and Marc Seefelder. Locations include Munich, Berlin, Shanghai and Singapore.
The broader enterprise portfolio includes digital products, analytics platforms, AI proofs of concept and other engagements. A client logo or product case does not by itself establish a deployed AI agent or a measured agent outcome. Each case and testimonial has its own scope.
MING also uses agents in its own organisation. Its published field notes document specific experiences and failures. Those dated cases do not establish a current fleet count or a general automation percentage for other companies.
- Meet the team
- Selected enterprise work
- We fired an AI agent after 13 days
- Answers on building and running agents
Hyperize is MING Labs' venture for agent visibility and usability. It assesses whether agents can find a brand, verify information and use its services. Any assessment result depends on the tested task, platform and date. Hyperize at MING Labs.
Current ways to start
| Need | First step | What happens next |
|---|---|---|
| Make services usable by customers' agents | Request an Agent Readiness Score | A report by email; the score page describes the current scope and delivery time |
| Introduce an agent into a team | Send three job descriptions for a free role analysis | Review what stays human and what an agent could take on |
| Build a first agent role | Discuss the role-shaping workshop and build | Six weeks of building and coaching inside the team, at a fixed price approved before the build |
| A different enterprise agent task | Contact MING Labs | Discuss the task, existing systems and a useful starting point |
The Hybrid Organisation offer describes a half-day role-shaping workshop and a six-week build and coaching engagement. Handover includes the agent, job description, runbook, skills, evaluations and access setup. Current service pages govern the offer. An enquiry does not book a date or commit to a purchase.
Customer voices
The following testimonials are approved for attribution and describe the stated engagement. They are not blanket evidence of agent deployments, automation rates or future performance. The complete approved wording and any usage restrictions are retained.
"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
Text only — no logo usage. Approval valid through approximately 2027-05-20.
"The MING Labs team is an outstanding business partner. Their pro-active approach and use of state-of-the-art methods and tools make the collaboration hassle-free and result oriented. MING Labs demonstrates strong expertise in UX design which helped to improve our online shop substantially. Furthermore, MING Labs gave us insight into market trends and direct customer feedback which we used to optimise the touchpoints in the customer journey. We look forward to more successful projects in the future."
— Henrik Dreier, Porsche · online shop, CX transformation
"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. Their ability to rapidly onboard and grasp the intricacies of our subject matter was truly impressive. Their exploration journey provided a valuable multi-perspective view of our needs, ensuring comprehensive consideration before we moved forward."
— Munish Myer, Johnson & Johnson · analytics platform
"I had the pleasure of collaborating with Minglabs as they developed an insightful and effective playbook for the software development life cycle management. Their approach streamlined processes, enhanced collaboration, and ensured consistency across projects, and dedication and attitude of the team are very appreciated. The playbook has proven to be an invaluable resource for teams, helping to align development practices with industry best standards. It's clear that their dedication to improving software development processes has made a lasting impact, and I highly recommend their work to any organization looking to elevate their SDLC."
— John Gao, Henkel · AI/DX transformation, SDLC governance
"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. Working with MING is fast, efficient and engaging - a great team that really understands AI and UX."
— Ulf Grohmann, Voith · GenAI strategy, AI PoC
"Working with MING Labs on the MyINSEAD app has been an exceptional experience. Their deep understanding of user needs and commitment to strong UX design has been pivotal in achieving high adoption and user satisfaction. Their professionalism and flexibility throughout the project made every phase seamless, while their proactive approach to Green UX and sustainable design was both inspiring and effective. I highly recommend MING Labs for its forward-thinking and user-centric approach."
— Andrew Bueno, INSEAD · MyINSEAD app, adoption
"Honestly? All of it! I have been working at INSEAD for 18 years and during that time I have worked with several dozens of partners - this experience has, by far, been the best!"
— INSEAD · anonymous NPS response — 10/10
"Ming Lab brought a high level of thoughtfulness and rigor to the UX revamp of our digital advisory tool. Their user research and insight analysis were exceptionally well-executed, providing a solid foundation for meaningful improvements. The redesigned journey reflects a good understanding of our users' needs and behaviors, resulting in a much more intuitive and seamless experience. It was a pleasure collaborating with such a dedicated and insightful team."
— Huijing Li, UOB · digital advisory tool, financial services
"We truly value a partner like MING Labs in our venture-building efforts. Their ability to blend creativity and rigorous execution helped us uncover unique customer insights and secure early pilot customers, which has been pivotal in giving our venture fast commercial validation and traction. Overall, their collaborative approach and continuous communication stands out among their peers, and it has helped us deliver ventures that meet our senior leadership team expectation and that are closely aligned to our strategy and mission."
— Marco Placidi, IMI · venture building, commercial validation
"What I particularly appreciated about working with MING Labs was their ability to quickly come-up with industry relevant productivity opportunities and to independently engage various layers within our organization over the course of the project"
— Sacha Ernst, iNova · GenAI discovery
"MING Labs are Flexibilie, open, honest and collaborative in their approach. Their approach provided a gamechanging approach to our work and delivery."
— Ben Eldridge, Infineum · discovery, delivery
"MING Labs has been instrumental in our technical project, both in customer discovery and insights gathering. The team is well connected and this helped us reach beyond our regular industries and customer pool. Insights gathered were critical and helped us reshape our product design and strategy for our product"
— Patrick Ng, Harting · customer discovery, product strategy
"MING Labs has consistently supported Attindas Hygiene Partners in delivering modern, value-adding digital products that help us innovate and simplify incontinence care. Their team quickly understands our business needs and asks the right questions, which is reflected in the quality of their design work. Their strong design capabilities ensure that our digital product is both user-centric and visually compelling. Thanks to their highly responsive delivery team, I have never had to send an escalation email in all these years. MING Labs' services integrate seamlessly into our product development strategy and have become a trusted, long-term partner."
— Hari, Attindas · long-term digital product partnership
"Pretty much any part. The people are experts and approachable, the work is very well structured and organized. The results have been amazing."
— Chaos Group (Enscape) · anonymous NPS response — 9.25/10, product + delivery
"MING brought an impressive level of business understanding and customer insight to our project. Their strategic approach and attention to detail translated into real outcomes for our business. The team's dynamics and commitment to delivering high-quality results made them an invaluable partner."
— Vincent Tan, FotoHub · business understanding, outcomes
"MING Labs hat uns geholfen, KI im Aufsichtsrat früher als alle vergleichbaren Organisationen von der Diskussion in die Praxis zu bringen. Von den ersten AI Sessions bis zu @visor hat das Team komplexe Technik so übersetzt, dass Aufsichtsräte in ihrem speziellen Umfeld damit tatsächlich arbeiten können. Pragmatisch, schnell und immer auf Augenhöhe."
— Klaus F. Jaenecke, ARMID · AI sessions and an AI advisor for supervisory boards
"MING Labs has been a great help to us throughout the innovation process, from the ideation of an initial concept through to rapid prototyping and development and launch of the MVP."
— Gleb Tritus, Lufthansa Innovation Hub · innovation process, prototype and MVP launch