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Services

A platform alone changes no workflow.

We bring it into production operation.

We bring it into production operation.

Implementation, training, custom AI apps and integration from a single source, until your team works with the neuland.ai HUB on its own, every day.

Handover sheet · Example Retail GmbH

Nach dem Vertrag beginnt die eigentliche Arbeit. Prozesse wählen, Teams befähigen, Systeme anbinden.

Customer Success aligns usage with your business processes, the Academy trains your teams, and our development team builds integrations and custom AI apps. The goal: your team works with the neuland.ai HUB on its own.

Services

Four services, from implementation to integration. Each one ends with your team.

Your admins take over the tenant, your business unit the agents and AI apps, your IT operations the connection.

Example · Implementation

Implementation starts with a real process.

From the first use case to production operation.

Implementation starts with a real process.

From the first use case to production operation.

Using a retail company as an example: from the open customer complaint to production operation, supported by your Customer Success team.

Plan

The plan names the first use case

Together, we choose the workflows that tie up the most hours today. In this example, it is complaint intake: combining the delivery note, photos and confirmation of receipt into one complete case.

Setup

Configuration, integrations, knowledge

We set up the neuland.ai HUB with your team: Outlook and SharePoint connected, roles created, delivery terms and the complaints policy stored as knowledge.

Training

The service team leaves the training with a finished agent

In a one-day training on its own case, the team writes prompts and builds an AI agent that is ready to use the next day: it pre-sorts complaint reports.

Production operation

On day one, the agent reports what is missing

The service team passes every report to the agent; it checks it against the delivery note and photos and names what is missing. For F-0412, it was the confirmation of receipt; the service team decides on the refund.

Continuous development

Customer Success reaches out first

Your Customer Success team keeps an eye on usage and potential and suggests the next use case before anyone asks. In this example, it is invoice review.

Plan

The plan names the first use case

Together, we choose the workflows that tie up the most hours today. In this example, it is complaint intake: combining the delivery note, photos and confirmation of receipt into one complete case.

Setup

Configuration, integrations, knowledge

We set up the neuland.ai HUB with your team: Outlook and SharePoint connected, roles created, delivery terms and the complaints policy stored as knowledge.

Training

The service team leaves the training with a finished agent

In a one-day training on its own case, the team writes prompts and builds an AI agent that is ready to use the next day: it pre-sorts complaint reports.

Production operation

On day one, the agent reports what is missing

The service team passes every report to the agent; it checks it against the delivery note and photos and names what is missing. For F-0412, it was the confirmation of receipt; the service team decides on the refund.

Continuous development

Customer Success reaches out first

Your Customer Success team keeps an eye on usage and potential and suggests the next use case before anyone asks. In this example, it is invoice review.

Plan

The plan names the first use case

Together, we choose the workflows that tie up the most hours today. In this example, it is complaint intake: combining the delivery note, photos and confirmation of receipt into one complete case.

Setup

Configuration, integrations, knowledge

We set up the neuland.ai HUB with your team: Outlook and SharePoint connected, roles created, delivery terms and the complaints policy stored as knowledge.

Training

The service team leaves the training with a finished agent

In a one-day training on its own case, the team writes prompts and builds an AI agent that is ready to use the next day: it pre-sorts complaint reports.

Production operation

On day one, the agent reports what is missing

The service team passes every report to the agent; it checks it against the delivery note and photos and names what is missing. For F-0412, it was the confirmation of receipt; the service team decides on the refund.

Continuous development

Customer Success reaches out first

Your Customer Success team keeps an eye on usage and potential and suggests the next use case before anyone asks. In this example, it is invoice review.

Enablement

AI literacy is mandatory.

Every level learns its part.

AI literacy is mandatory.

Every level learns its part.

Since February 2025, the EU AI Act has required companies that use AI to ensure sufficient AI literacy among their staff. The Academy trains boards, leadership and business units according to their role; the EU AI Act and GDPR are on every agenda. The illustrations show examples from a retail company.

Supervisory and advisory boards

Two days for supervisory and advisory boards: regulatory requirements, exchange among peers. Outcome: risk checklist, AI guideline and a dedicated AI agent for the board.

Leadership teams

In two days, in-house, the AI strategy workshop takes you from first orientation to a strategy ready for a decision. Result: your own AI guideline, a structure for AI risk management and prioritized use cases.

Business units

One-day trainings and webinars for everyday work: application, opportunities and risks, data protection. On request, your team trains directly in the neuland.ai HUB, on its own workflows.

Entire organization

The modular program combines in-person courses, webinars and e-learning across all levels, typically over six months. Attendance and skills development are documented, optionally with the AI Manager certificate from eco e.V.

Supervisory and advisory boards

Two days for supervisory and advisory boards: regulatory requirements, exchange among peers. Outcome: risk checklist, AI guideline and a dedicated AI agent for the board.

Leadership teams

In two days, in-house, the AI strategy workshop takes you from first orientation to a strategy ready for a decision. Result: your own AI guideline, a structure for AI risk management and prioritized use cases.

Business units

One-day trainings and webinars for everyday work: application, opportunities and risks, data protection. On request, your team trains directly in the neuland.ai HUB, on its own workflows.

Entire organization

The modular program combines in-person courses, webinars and e-learning across all levels, typically over six months. Attendance and skills development are documented, optionally with the AI Manager certificate from eco e.V.

Supervisory and advisory boards

Two days for supervisory and advisory boards: regulatory requirements, exchange among peers. Outcome: risk checklist, AI guideline and a dedicated AI agent for the board.

Leadership teams

In two days, in-house, the AI strategy workshop takes you from first orientation to a strategy ready for a decision. Result: your own AI guideline, a structure for AI risk management and prioritized use cases.

Business units

One-day trainings and webinars for everyday work: application, opportunities and risks, data protection. On request, your team trains directly in the neuland.ai HUB, on its own workflows.

Entire organization

The modular program combines in-person courses, webinars and e-learning across all levels, typically over six months. Attendance and skills development are documented, optionally with the AI Manager certificate from eco e.V.

Example · Development

Your special case gets its own AI app.

Your special case gets its own AI app.

Not every workflow fits a standard agent. The complaints agent pre-sorts; the recovery claim against the supplier is prepared by a purpose-built AI app, with data from the order system and permanently operated in the neuland.ai HUB. The signature stays with the service team.

Initiation

We clarify what the complaints agent does not cover, here the recovery claim against the supplier. Result: a prioritized use case.

Concept and architecture

We define data sources such as the order system, integrations, security requirements and the operating model up front. Result: a concept that fits your system landscape.

Development

We build iteratively, from the first prototype to productive use. Result: the AI app prepares every recovery claim, and the service team signs.

Now we finally know what we know!”

“

“

Prof. Dr. Michael Hüther

Institut der deutschen Wirtschaft (IW)

Institut der deutschen Wirtschaft

Example · Integration

For legacy systems, we build the connection ourselves.

For legacy systems, we build the connection ourselves.

Ready-made connectors exist, for example, for SharePoint, Outlook, Teams, Confluence, Jira, HubSpot, Salesforce CRM and SQL databases. We connect merchandise management, customer service systems or a grown specialist application individually as an additional service.

Data from Order system, SharePoint, SQL database, Outlook etc. flows through neuland.ai HUB to Customer file F-0412 complete.

FAQ

Effort and responsibilities are settled before the contract.

Effort and responsibilities are settled before the contract.

Is the license enough to get started?

The licence alone does not, which is why it never comes alone: getting started always includes an individual onboarding plan from our Customer Success team. AI agents, projects, AI workflows, multi-LLM and other functions are included; tailor-made AI apps are an additional service, and the offer states their scope. You add the Academy when your project needs it.

Is the license enough to get started?

The licence alone does not, which is why it never comes alone: getting started always includes an individual onboarding plan from our Customer Success team. AI agents, projects, AI workflows, multi-LLM and other functions are included; tailor-made AI apps are an additional service, and the offer states their scope. You add the Academy when your project needs it.

Who runs a custom-developed AI app?

The neuland.ai HUB: the AI app runs there permanently, under the same permission management as your agents. It operates in EU data centers or on-premises in your own infrastructure, your choice.

Who runs a custom-developed AI app?

The neuland.ai HUB: the AI app runs there permanently, under the same permission management as your agents. It operates in EU data centers or on-premises in your own infrastructure, your choice.

How do we prove our staff's AI literacy?

With documented attendance: the Academy records attendance and skills development for each level, usable for HR and compliance. Optionally, the AI Manager certificate from eco e.V. is added.

How do we prove our staff's AI literacy?

With documented attendance: the Academy records attendance and skills development for each level, usable for HR and compliance. Optionally, the AI Manager certificate from eco e.V. is added.

How much time does our business unit need to plan for?

One training day on your own process, ending with an AI agent of your own. Trainings for staff run as short sessions alongside daily business. After that, business units build more agents without programming; admins decide who is allowed to.

How much time does our business unit need to plan for?

One training day on your own process, ending with an AI agent of your own. Trainings for staff run as short sessions alongside daily business. After that, business units build more agents without programming; admins decide who is allowed to.

Who is our contact after launch?

Your Customer Success team. It keeps an eye on usage and potential, supports further development and suggests the next use case.

Who is our contact after launch?

Your Customer Success team. It keeps an eye on usage and potential, supports further development and suggests the next use case.

Who takes over operation after implementation?

Your team. Your admins take over the tenant, the business unit the agents and AI apps, your IT operations the connection. The Customer Success team stays involved: it keeps an eye on usage and potential and suggests the next use case.

Who takes over operation after implementation?

Your team. Your admins take over the tenant, the business unit the agents and AI apps, your IT operations the connection. The Customer Success team stays involved: it keeps an eye on usage and potential and suggests the next use case.

How do we find the first use case?

The onboarding plan starts with a real process: together, we choose the workflows that tie up the most hours today. If you have none in mind yet, the Academy's Use Case Workshop gets you to three concrete use cases in one day, rated by value, effort and risk.

How do we find the first use case?

The onboarding plan starts with a real process: together, we choose the workflows that tie up the most hours today. If you have none in mind yet, the Academy's Use Case Workshop gets you to three concrete use cases in one day, rated by value, effort and risk.

Do you also connect systems without a ready-made connector?

Yes, as an additional service we connect ERP, merchandise management, DMS or a grown specialist application individually. Ready-made connectors exist, for example, for SharePoint, Outlook, Teams, Confluence, Jira, HubSpot, Salesforce CRM and SQL databases. Your IT operations then take over the connection.

Do you also connect systems without a ready-made connector?

Yes, as an additional service we connect ERP, merchandise management, DMS or a grown specialist application individually. Ready-made connectors exist, for example, for SharePoint, Outlook, Teams, Confluence, Jira, HubSpot, Salesforce CRM and SQL databases. Your IT operations then take over the connection.

What formats are there for leadership and boards?

Two days for supervisory and advisory boards (Fit for AI, 10 to 20 participants, in person) and the AI strategy workshop for leadership teams (two days, 10 to 15 participants, in-house). Both end with a finished AI agent of your own.

What formats are there for leadership and boards?

Two days for supervisory and advisory boards (Fit for AI, 10 to 20 participants, in person) and the AI strategy workshop for leadership teams (two days, 10 to 15 participants, in-house). Both end with a finished AI agent of your own.

One use case is enough to start.

We plan the rest with you.

One workflow from your daily work is enough. We show which service brings it into production operation.

Talk to us

After your request

01

We clarify the first use case with you and who works on it today

02

We map it to implementation, Academy and development

03

Together, we define who takes on what, and by when

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