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Artificial intelligence and machine learning in business
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12 services · AI & machine learning: match the service to the need · Made in Germany

AI & machine learning: match the service to the need

Do you need to assess AI, introduce it responsibly or deliver a defined use case?

This overview routes you to AI advisory, organisational adoption, production delivery, RAG, agents or machine learning.

Quick orientation for AI and machine learning services—from first steps to production solutions, with governance and measurable outcomes.

Services: AI & machine learning: match the service to the need

Thorsten Frieling

Estimate your project costs

Use our interactive calculator for a first budget indication—free and non-binding.

Thorsten Frieling – Projektmanagement

Find the right entry point in AI & machine learning: match the service to the need

Start by identifying the maturity of your initiative. Broad AI and machine learning advisory assesses opportunities, AI implementation establishes organisational readiness, and delivery services build a prioritised use case. RAG, agents, chatbots, voice bots and custom ML models are specialist routes.

Which AI service fits your starting problem?

Starting problemMatching serviceNext step
Assess AI opportunities and compare solution pathsArtificial intelligenceAI project check
No AI roadmap or priorities yetAI implementationRequest AI workshop
Deliver a prioritised AI use caseAI solutions for businessDiscuss delivery
Searchable company knowledge (RAG)AI knowledge baseRAG cost calculator
Phone / voicebot / service lineAI phone botsEstimate AI costs
Chatbot with system integrationAI chatbot developmentDiscuss integration
Customer-facing chatbot / agencyAI chatbot agencyChatbot cost calculator
ML model / predictive analyticsMachine learning developmentData analytics
Agentic / autonomous workflowsAI agentsAgent integration costs
EU AI Act / AI complianceEU AI Act consultingEU AI Act for SMEs
Microsoft Copilot in M365Microsoft Copilot consultingAI training

We deploy AI where measurable value appears – from our artificial intelligence & machine learning overview and AI solutions for business to structured AI implementation. Delivered as AI chatbot development, customer-facing delivery via our AI chatbot agency or machine learning development – employee assistance and automating repetitive work.

Make company knowledge searchable with an AI knowledge base; AI phone bots support service lines; AI agents handle autonomous workflows. Project-specific data protection and EU AI Act consulting (see also EU AI Act for SMEs) and a solid data foundation from data, analytics & databases are assessed for the use case; this is not a blanket GDPR-compliance promise. We add AI training for your teams where needed.

Plan costs and ROI with our AI cost calculator, AI knowledge base cost calculator or AI ROI calculator. Explore AI for business topics, use cases under AI automation and references in AI projects – Made in Germany from East Frisia.

Which AI service fits your maturity?

The right entry depends on whether you need orientation, organisational adoption or technical delivery. RAG, agents and machine learning are specialist delivery routes.

ServiceRoleFocusDelineation
Artificial intelligenceOrientation & advisoryAI opportunities, advisory and solution overviewFor initial business orientation, not an already defined specialist project
AI implementationOrganisational adoptionReadiness, roadmap, governance and enablementCreates the prerequisites; it is not technical product delivery
AI solutions for businessConcrete deliveryPilot, integration and production rolloutFor a prioritised use case with measurable acceptance criteria
AI knowledge baseRAG specialist servicePermission-aware access to internal documents and sourcesFor source-grounded answers, not classic KPI analysis
AI agentsAgentic workflowsMulti-step tasks with tools and approvalsFor controlled actions; simple workflows belong in automation
Machine learning developmentML specialist serviceForecasting, classification and custom modelsFor data-driven models, not generative knowledge retrieval

Frequently asked questions: AI & machine learning: match the service to the need

Concise answers help you assess service needs, prerequisites and the right next step.

Where do I start: artificial intelligence or a specialist page?

Start with artificial intelligence for opportunity assessment, AI implementation for readiness and governance, and AI solutions for business for a prioritised project.

Chatbots, voice bots, RAG, agents and ML are specialist routes.

How is the EU AI Act addressed in projects?

We assess roles, risk classes, data flows, human oversight and documentation duties for the use case.

Formal legal assessment remains with qualified legal advisers where required.

What data foundation does an AI knowledge base need?

Structured sources, permissions and up-to-date content; if the foundation is missing we point to database and integration work before RAG rollout.

What does AI cost in the mid-market?

Pilot, production and operations differ widely – AI cost calculators and a project check give a first range; details sit on each service page.

Thorsten Frieling

Questions about our services?

Need a tailored quote? Contact us or book a consultation.

Thorsten Frieling – Project management

Or call us:+49 491 960 999 00

More service categories

Explore related topics – or return to the full services overview.

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Service at a glance – for your decision

AI & machine learning: compact service description

Definition: AI & machine learning at Groenewold IT covers orientation, organisational adoption and concrete delivery. Chatbots, voice bots, RAG knowledge bases, agents and ML are specialist routes; data protection and EU AI Act duties are assessed per use case.

When it applies: When staff lose time to search and routine work, customer service must scale or company knowledge should be usable via assistants – without prototype-only delivery.

Audience: Mid-market teams that expect measurable value, a clear data foundation and responsible rollout (training, Copilot, compliance).

Outcome: Production-near assistants, documented data flows and business sign-off – the artificial intelligence overview is the entry point; detail pages deepen special topics.

Approach: Use-case workshop, data and rights review, pilot with measurable KPIs, rollout and operations including governance (EU AI Act, GDPR).

Prerequisites and limits: Prerequisites and limits: use case, document/data basis and privacy framework (DPA, hosting). Limits: not classic bespoke software without AI relevance—related services are cross-linked.

Differentiation: Classic software development → Software & platforms; process RPA → Automation; pure interfaces → Integration.

Trust: AI projects with references, EU AI Act consulting and introduction roadmaps; Made in Germany, 99+ B2B clients in the mid-market.

Sensible next step: Sensible next step: align use case and data basis in a strategy call—then pilot or RAG roadmap.

Approach in steps

  1. Approach: Use-case workshop, data and rights review, pilot with measurable KPIs, rollout and operations including governance (EU AI Act, GDPR).
Björn Groenewold

Up to 50% of your investment via BAFA/KfW

Use our funding calculator to see which government grants may apply to your project.

Björn Groenewold – Managing Director