AI Consulting Agency Berlin

    AI Consulting
    From Berlin.

    We advise and support companies in the use of AI with a clear view of business models, data and processes. From strategy and the first use case to integration into web, data and daily operations, the focus is on turning possibilities into real outcomes.

    AI Strategy & Consulting

    Before AI Becomes a Project.

    Every company faces the question of what AI can mean for its own business. The answer rarely sits in the technology alone. It sits in the context: which processes benefit, which data exists, where the strongest leverage lies and where an entry point is realistic.

    We answer these questions with the same complete view we bring to every project. We look at models and tools, but also at business model, data, teams and existing systems. This creates an AI strategy that fits the company and can move into implementation.

    Typical Projects

    Where AI Consulting Begins.

    AI consulting is valuable when companies want to approach AI with structure: clear value, realistic effort and a path from the first use case to productive operation.

    01

    AI Strategy for the First Step

    StrategyEntry PointRoadmap

    For companies that want to understand which role AI can play in their business and need a roadmap with priorities, first steps and realistic outcomes.

    02

    AI for Content and Communication

    ContentMarketingQuality

    For teams that want to embed AI into research, topic planning, content production and marketing processes while preserving quality and brand voice.

    03

    Embedding AI Into Existing Workflows

    ProcessesWorkflowsProductivity

    For companies that want to accelerate recurring work in sales, support, analysis or internal communication and connect AI to the tools already in use.

    04

    Knowledge Systems and Assistants

    KnowledgeAssistantsAccess

    For companies whose expertise lives in documents, databases and people and should become easier to find, use and share with AI-supported systems.

    05

    Custom AI Applications

    ApplicationProductDevelopment

    For projects where a custom AI application should be created as an internal tool, customer feature, analysis product or part of a platform.

    06

    Preparing Data for AI

    DataQualityFoundation

    For companies that want to clarify which data sources are usable, what needs preparation and where gaps exist before AI can work well.

    What AI Consulting Clarifies

    Clarity Before Budgets Move.

    Good AI consulting answers the questions a single workshop or tool test cannot answer reliably.

    Where AI Actually Helps

    Not every process benefits from AI. We identify the areas with the strongest leverage and clarify where another path is more appropriate.

    Which Data Already Exists

    AI is only as good as the data it works with. We assess what can be used, what needs preparation and where gaps should be closed.

    How AI Fits Existing Systems

    AI tools create little value when they sit beside existing processes. We clarify how AI can be embedded into web, data, CMS and workflows.

    What the Realistic Value Is

    There is often a gap between AI hype and business value. We create clarity around effort, benefit and achievable outcomes.

    How Implementation Should Start

    A good strategy leads to clear steps, priorities and a view of how AI can move into productive use gradually.

    Services

    From Assessment to Outcome.

    We advise, create the throughline and implement with the ambition that AI projects move beyond analysis and become real results.

    01

    Analysis and Assessment

    We understand business model, processes, data and digital systems and identify the AI use cases with the strongest value, prioritized by effort, impact and feasibility.

    AnalysisAssessmentPriorities
    02

    AI Strategy and Roadmap

    From the analysis, we develop an AI strategy with concrete use cases, technology recommendations, data requirements and a timeline for sound decisions.

    StrategyRoadmapDecision
    03

    Data Assessment and Preparation

    We evaluate existing data sources for quality, structure and usability in AI applications and clarify what should be connected, cleaned or newly captured.

    DataQualityFoundation
    04

    Prototypes and First Use Cases

    Before larger investments are made, we build prototypes that show whether and how AI works in the concrete use case: testable, tangible and useful for decision-making.

    PrototypeTestValidation
    05

    AI Applications and Integration

    We implement AI solutions: custom applications, agents, knowledge systems, content pipelines, automations and integrations with existing web and data systems.

    ImplementationIntegrationApplication
    06

    Workshops and Enablement

    We give teams the understanding and skills to use AI tools productively, assess outputs and treat AI as part of their own work.

    WorkshopTrainingTeams
    07

    Support and Further Development

    AI systems change: models improve, data sources grow and requirements shift. We support and evolve AI solutions after the start.

    SupportDevelopmentOperation
    The Right Partner

    Why BxW.

    We see ourselves as engaged people with the ambition to understand each project's requirements and goals in detail. With AI, that means understanding the business before applying the technology.

    01

    A Clear View of the Whole Picture

    We look at models and prompts, but also at business model, market, audience and existing systems. AI creates value in connection with what is already there.

    02

    Consulting and Implementation in One Team

    What we recommend, we can build: AI applications, agents, knowledge systems, content pipelines and data integrations come from one team.

    03

    Web, Data, AI and Infrastructure Together

    If an AI solution needs an interface, data connection, API or CMS integration, it is part of the same project at BxW, with sensitivity for every layer.

    04

    Pragmatic, Not Theoretical

    We understand the questions companies face when they want to use AI economically and with care: no million-euro budget, no internal AI team, but the ambition to do it properly.

    05

    Thinking Beyond the First Use Case

    We plan AI adoption so it can grow: new use cases, data sources and requirements can find their place without rebuilding the foundation each time.

    AI Assessment

    Do You Want to Know What AI Could Mean for Your Company?

    We analyze business model, processes and data landscape and show honestly and pragmatically where AI can create value and where another path fits better.

    Request an Assessment
    Key Questions

    Before the AI Project.

    What is AI consulting?

    AI consulting helps companies understand where artificial intelligence can create real value in their business and how to move from idea to productive use. It covers use case assessment, data evaluation, strategy and concrete implementation steps.

    Who is AI consulting for?

    For companies and SMEs that want to use AI deliberately and economically without having their own AI department. Typical starting points are content, processes, customer service, data analysis or internal workflows.

    What does AI consulting cost?

    That depends on whether the work is an initial assessment, a robust AI strategy or already the first prototypes and implementation steps. The deciding factors are process landscape, data situation, number of use cases, integrations and how close the consulting needs to be to a production system. We first clarify where AI can realistically create value and what scope makes sense.

    How long does an AI strategy take?

    An initial assessment can usually be kept compact. A robust AI strategy needs more depth: understanding processes, assessing data, prioritizing use cases and planning the path toward implementation. The timeline depends on how many teams, systems and decisions need to be included.

    Does my company need AI?

    That should be clarified systematically. If processes repeat, larger data volumes need to be handled, content needs to scale or internal knowledge should become more accessible, AI can make a tangible difference. An honest assessment shows where it is worth using.

    Can BxW also implement the AI strategy?

    We can implement the strategy directly: custom AI applications, agents, knowledge systems, content pipelines and integrations into existing systems. The throughline stays intact from concept to productive use.

    What does AI have to do with data?

    A lot. AI systems work with data, and the quality, structure and accessibility of that data determine the quality of the results. A key part of our consulting is assessing whether existing data fits the intended use and what needs preparation.

    Which AI technologies does BxW use?

    We work with large language models, OpenAI, Anthropic, open-source models, RAG systems, embeddings, vector databases, fine-tuning, AI agents and custom workflow systems. The choice depends on the use case.

    What about privacy and security?

    Privacy and data security are part of every AI project from the beginning. We advise on hosting, data processing, model choice and GDPR-compliant architectures and build AI solutions so sensitive data stays protected.

    What makes BxW different from pure AI consultancies?

    We do not only advise; we implement. And we think about AI with the same complete view we bring to every project: web, data, infrastructure and content together. If an AI solution needs an interface, data connection or integration, it comes from the same team.

    Request AI Consulting.

    Whether it is the first step, concrete use cases or the question of how AI fits your work, data and goals: the best start is a conversation about your company and what AI can create inside it.

    Discuss AI Consulting