Realistic price ranges by project type – workshops, RAG chatbots, computer-vision quality inspection, retainers – with payback numbers from real projects instead of a vague it-depends.
An AI project in Germany in 2026 costs anywhere from low four figures for a workshop to six figures for production systems. Most mid-market entry projects land at €15,000–40,000 for a scoped proof of concept (2–4 weeks) – an indicative market range, not a price list. Consultancy day rates by firm tier are a separate question: see AI consulting vs. traditional consulting.
Last updated: July 2026
What does an AI project cost in Germany in 2026?
Seven project types, seven budget bands. All ranges are indicative German market figures for 2026 from public reports – not an AI Phase price list. What pushes the price up or down is on each card.
AI workshop
Low four figures
An AI workshop typically costs low four figures in the German market for half a day to two days. The outcome is a ranked use-case list with effort estimates – not slides.
Drives the price up
- More participants and locations
- Custom pre-workshop analysis
Keeps the price down
- Remote format
- One clearly framed process in focus
Feasibility check & blueprint
€0 – free
AI Phase's 24h Fast-Track blueprint is free: a scope sketch, an honest feasibility assessment and next steps within 24 hours. Paid assessments elsewhere in the market run into five figures.
Drives the price up
- Many systems and data sources
- Regulated processes with audit requirements
Keeps the price down
- One concretely described task
- One process, one owner
RAG system / document chatbot
€15,000–40,000
A pilot on your own documents typically lands at €15,000–40,000 in 2–4 weeks (2026 market range). The bigger cost block is production hardening: permissions, evaluation, integration. Operations can be tiny: for netcos, the AI system's running costs are roughly 1.4% of the original manual handling costs.
Drives the price up
- Poor document quality
- Many systems to integrate
- Complex permission logic and many users
Keeps the price down
- Clean, curated documents
- Pilot with one user group
Computer-vision quality inspection
Payback over sticker price
What matters here is payback, not the list price: for the B.B.W. Group, a BMW Group partner, inspection time dropped from 10 minutes to around 20 seconds (roughly 97% faster) at 80% automation – inspection costs can potentially be halved. Payback follows inspection volume.
Drives the price up
- Camera and hardware setup
- Many defect classes and part variants
- Integration into the line
Keeps the price down
- Existing image data
- One inspection step as the starting point
Production system (RAG, agents, automation)
Five to six figures
Production-ready AI systems integrated into M365, SAP or ticketing systems typically run five to six figures in the market over 3–6 months. The price follows integrations and compliance requirements – rarely the model.
Drives the price up
- Every additional connected system
- GDPR and EU AI Act requirements with audit duties
Keeps the price down
- Proven solution patterns instead of greenfield builds
- A scoped pilot before the rollout
Student project (TUM/LMU)
A fraction of agency cost
Structured 3–6-month AI projects with top students from AI Phase's TUM/LMU network – scoping, team composition and supervision included. Honestly: slower, and not for hard production deadlines.
Drives the price up
- Several sub-projects in parallel
- Additional senior supervision
Keeps the price down
- Soft deadlines
- An exploratory, tightly bounded scope
Retainer & operations
Monthly · scalable
An AI retainer scales with system count and SLA, adjusts monthly and starts within a week – conditions on request. For most SMEs it is cheaper than a hire; if you work on models daily, an in-house engineer wins.
Drives the price up
- More systems in operation
- Stricter SLAs and response times
Keeps the price down
- Monthly adjustable scope
- Stable systems after the launch phase
What is the cheapest way to start an AI project?
Three ways to get clarity before the first big budget – one of them costs nothing.
The free 24h blueprint
Submit your AI idea and receive a scope sketch, an honest feasibility assessment and next steps within 24 hours – free and non-binding. The fastest route to a defensible budget figure.
A student project from the TUM/LMU network
3–6 months, senior-supervised, a fraction of agency cost. AI Phase emerged from the TUM.ai initiative and the Munich AI ecosystem – that network is where the company started. The honest caveat: slower, and unsuitable for hard production dates.
Workshop first, budget second
A half-day to two-day workshop delivers a ranked use-case list with effort estimates – the best basis for a sound budget decision. For the advisory share, German SMEs can use grants such as the BAFA consulting subsidy (up to 50% on a max. €3,500 assessment base, running until end of 2026).
When does an AI project pay off?
The honest math: indicative investment ranges on one side, measured effects from real reference projects on the other.
What you invest
What comes back – measured
Break-even depends on the process, not the model: the higher the volume and staffing cost of the automated process, the faster the investment pays back – for netcos, the AI system's running costs are roughly 1.4% of the original manual handling costs. Cost and duration correlate: How long does an AI project take?
Common questions about AI costs
Most mid-market entry projects in 2026 land at €15,000–40,000 for a scoped pilot (indicative market range). AI workshops cost low four figures; production systems typically run five to six figures in the market.
Clarity first, budget second
Submit your AI idea – within 24 hours you get scope, feasibility assessment and next steps. Free and non-binding.