Artificial Intelligence
We help companies realize the potential of AI in tangible ways. Strategic ambitions become scalable solutions that help organizations act faster, make smarter decisions, and become more competitive.
Our services
What we offer in the field of generative AI.
Consulting, Transformation, & Governance
AI creates opportunities — but where, when, and how? We help companies act quickly, stay legally compliant, and use AI effectively.
Training & Enablement
AI is only as strong as the people who work with it. We help teams and executives confidently and competently leverage AI.
Agentic AI & Workflow Automation
The brightest minds in your company shouldn't waste time on repetitive tasks. That's why we support you with AI agents and automated workflows.
Machine Learning & Predictive Analytics
Better decisions start with better predictions. We develop machine learning models that turn your data into actionable insights.
Infrastructure & Integration
The efficiency of AI depends on the infrastructure behind it. Our AI Lab enables rapid prototyping — and systems that are efficient, secure, and future-proof.
Everyone tries,
few scale.
Most companies fail at scaling AI because the right foundations are missing: not in the boardroom, but somewhere between pilot and production.
WHAT DISTINGUISHES US
Expertise and genuine partnership:Effective AI transformation across all disciplines.
"AI transformation unites numerous disciplines. To successfully shape it, you need excellent specialists in each one. At gateB, we bring together experts from strategy, technology, data, and enablement to ensure that every dimension of your AI journey receives the care it deserves. The decisive difference is the interplay: a shared methodology, a reliable contact, and collaboration based on trust.
Our approach follows a clear conviction: AI only creates sustainable value if it is anchored in business reality, built on robust data foundations, and embraced by the people who work with it daily. That's how we measure ourselves — in every project, every discipline, and every phase of collaboration.
Business first, data-driven, end-to-end — that's how we have always worked. And since AI has taken the stage, these principles are more relevant than ever. Because they create the conditions for companies to unlock their full potential."
Josef Abel, Head of AI Consulting & Implementation
CommonChallenges
Our customers aren't alone in facing these challenges. That's why we've worked to find the right solutions.
Lack of use-case clarity
On the strategic agenda of many companies, AI is undisputed. Less clear is where it truly adds value. What's missing are clear prioritization, a realistic roadmap, and a shared understanding.
This is what we mean by impact.
More about us4x
Faster approval in compliance checks
60%
Time savings in ideation and content creation
2–5x
faster time-to-market
1000+
processed inquiries for qualified pipeline
Our software partners
We work with leading teams.
Our references
Companies see more agentic AI success with gateB.
Development and implementation of an agent-based workflow for lead generation in market research, target-specific content creation, and channel-appropriate campaign execution. Signals are automatically captured, turned into publication-ready content, and reviewed and approved in a human-in-the-loop process, resulting in more precise market targeting and scalable sales support.
Früh Verpackungstechnik AG
Consultation and technical design of a social media agent for listening, ideation, briefing, and channel-appropriate copywriting. Topics are automatically identified from external sources, converted into structured briefings, and prepared as publication-ready content, complete with human-in-the-loop approval for increased reach while maintaining brand consistency and constant resources.
Belimo Automation AG
Implementation and integration of Langdock as a central AI tool connected to relevant LLMs and access to internal systems and documents. Interfaces to Microsoft Teams and Outlook, among others, were integrated to make AI-supported workflows directly available in daily work processes. Full security and compliance requirements are consistently considered.
Brand Leadership Management AG
Development of a predictive churn agent for early detection of customers with decreasing business likelihood. The system identifies risks based on data and automatically triggers appropriate activation campaigns for targeted engagement, reduced churn, and secured future revenue potentials.
POS Malaysia
Josef Abel
Head of AI Consulting & Transformation
We look forward to meeting you.
Frequently Asked Questions
Everything you need to know about it:
What is agentic AI, and how is it different from a chatbot?
Agentic AI refers to AI systems that can plan multi-step actions and execute them across tools and data sources with limited human input, rather than just answering a single question. As an example: in marketing, sales and service operations, an agentic workflow can research a contact, enrich data, draft outreach, and route the result for human approval, using orchestration layers such as Agentforce/Claudeforce, n8n, Entirely OS, or Langdock to connect the agent safely to CRM, email, and ad platforms.
Why do most companies fail to scale AI beyond pilots?
Most companies fail to scale AI because the required foundations are missing, namely governance, data readiness, and organizational alignment, not because the technology itself doesn't work. gateB observes this failure pattern most often between pilot and production: a lack of IT integration, unclear ownership, and teams that haven't been prepared for the process change and cultural impact of new ways-of-working.
How should a company start with agentic AI if it already has a long list of use cases?
A company should first bring all use cases into one central inventory with real ownership and a shared definition of priority (value, feasibility, risk, and data readiness) instead of letting each department run its own list. From there, each use case needs to be turned into a concrete build plan: trigger, required systems, decision points, expected output, and where a human must approve the result.
What is orchestration in the context of agentic AI, and why does it matter?
Orchestration is the layer that connects AI agents to enterprise systems, enforces policies such as consent checks and approval gates, and logs every action for compliance. Without orchestration, agents can decide but cannot reliably act in a complex enterprise environment; platforms like Agentforce/Claudeforce, n8n, Entirely OS, or Langdock turn autonomous suggestions into auditable, controllable actions.
Can AI really increase marketing and sales efficiency, and by how much?
Yes: gateB's AI implementations have delivered up to 60% time savings in ideation and content creation, 2–5x faster time-to-market for campaigns, and up to 4x faster approval in compliance checks. Results vary by use case and starting data maturity, which is why gateB always begins with a use-case and data readiness assessment before committing to a scope.
Does gateB help with AI governance and compliance, not just implementation?
Yes, gateB explicitly covers consulting, transformation, and governance for AI as one of its core AI service lines, alongside training and enablement, agentic AI and workflow automation, machine learning, and infrastructure and integration. Governance work includes defining where AI may act autonomously, where human-in-the-loop approval is mandatory, and how actions are logged for audit.