Knowledge assistant / internal search
Answers with source citations from your scattered knowledge base - manuals, wikis, Confluence. Hybrid search and re-ranking deliver real hits instead of word salad.
Paid feasibility sprint · Fixed price
AI Feasibility Sprint
Proof of Concept (PoC) for RAG & AI systems - a solid decision in 1-3 weeks
Instead of months of upfront investment, we build something that actually runs on your data in a tightly scoped sprint and measure its quality. The result is not a glossy demo but an honest answer: viable or not - backed by measured numbers and a clear recommendation.
- Fixed price
- 1-3 weeks
- measured quality
- GDPR / EU hosting available
Why paid
Why a paid sprint - not a free pitch
A paid, tightly scoped sprint is not a cost item but the cheapest insurance against an expensive misinvestment.
Risk reversal
A test of EUR 5,000 to 10,000 before you put EUR 50,000 or more into a production system. You are buying certainty, not hope.
An internal decision basis
You receive measured numbers and a clear recommendation - a solid basis for internal sign-off, instead of gut feeling versus gut feeling.
Real commitment on both sides
A fixed-price sprint commits real data and real time - yours as well as ours. That produces results on real data instead of polished demo effects from a free pitch.
Use cases
Where a feasibility sprint fits
Four typical starting points where a retrieval-based AI system can be validated quickly and measurably.
Document & contract analysis
Make contracts, policies and long PDFs structurally searchable - with cited answers instead of made-up summaries.
Support / service assistant (assisted)
An assistant that suggests answers to your team and links sources - connected to your systems via MCP, with a human as the final authority.
Multimodal document understanding
Evaluate PDFs, tables and scans together. Agentic retrieval specifically improves hit quality here - as a retrieval step, not as an autonomous agent.
Three tiers
One fixed price per depth
The more data and questions, the more reliable the result. Each tier has a fixed timebox and a capped data volume - no hidden items.
Feasibility Check
EUR 4,999
Fixed price · approx. 1 week
- 1 use case, 1 data source (up to approx. 200 documents)
- Retrieval + answers with source citations
- Evaluation on approx. 20 questions
- Demo via notebook / API
- Short report + recommendation
Fixed timebox, capped data volume.
Recommended
Validated PoC
EUR 7,499
Fixed price · approx. 2 weeks
- Everything in the Feasibility Check - plus:
- Your own data
- Evaluation on approx. 40 questions + hallucination report
- Web demo with citations
- Comparison of several embedding variants
Fixed timebox, capped data volume.
Production-ready prototype
EUR 9,999
Fixed price · approx. 3 weeks
- Everything in the Validated PoC - plus:
- Multiple data sources
- GDPR / EU assessment
- Cost and scaling projection
- Deployment recommendation + roadmap
Fixed timebox, capped data volume.
All prices are fixed prices - and can be partially credited against a subsequent follow-up project. The sprint is therefore not a sunk cost but a paid, low-risk entry point.
Clear scope
What is included - and what is not
Honest from the start: a sprint is a proof of feasibility, not a production system.
Included
- A working demo on your data
- Retrieval with cited answers (citations)
- Measured quality on a shared question set
- Eval harness & cost guardrails
- Handover report with a clear recommendation
Not included
- No production operation
- No integration into live systems
- No SLA / maintenance
- No data migration
- No unlimited scaling
The process
Five steps to a solid decision
01
Kickoff & use-case sharpening
Together we sharpen the use case, the success criterion and the timebox - so the sprint targets what matters.
02
Data provisioning
You provide the relevant data in machine-readable form. On request, we clarify the data processing agreement beforehand.
03
Build
Ingestion, embedding, vector database and retrieval - the working core of the system is built on your data.
04
Evaluation
Measurement against a jointly defined question set: precision/recall, hallucinations, cost - numbers instead of demo feeling.
05
Handover report + recommendation
You receive the measured results, a clear recommendation and - depending on the tier - a roadmap for the next steps.
Proven experience
No demo magic - proven in production
We know the path from demo to operation - including the points where simple RAG setups usually fail.
360,000+
A multimodal search index across 360,000+ objects - live in production, not a prototype gathering dust.
+27 pts
A custom embedding model trained on the domain - +27 percentage points of retrieval quality over standard embeddings.
P/R
Measured precision/recall instead of demo effects - quality is quantified, not claimed.
€
With cost guardrails and provider abstraction - spending stays predictable and the provider stays replaceable.
Your involvement
What we need from you
To make the sprint reliable, we need your input in a few places.
Before the kickoff
- A subject-matter contact for questions and evaluation
- A question set with real questions from everyday work
- A clear success criterion: when is the PoC a success?
For the data
- Data in machine-readable form (PDF, DOCX, HTML, Markdown)
- A representative sample instead of a full migration
- If desired, a data processing agreement clarified before handover
FAQ
Frequently asked questions
What if it turns out not to be viable?
Even a well-founded 'not viable this way' is a valid, valuable result - you avoid a misinvestment. In any case you receive measured numbers and a clear recommendation.
What happens to our data?
We clarify the data processing agreement in advance, and the PoC data is deleted after completion. On request, the sprint runs GDPR-compliant with EU hosting or on-premise.
Is the price credited against a follow-up project?
Yes. If you commission a follow-up project afterwards, we credit the PoC amount on a pro-rata basis.
Is it eligible for funding?
A feasibility sprint may qualify as an eligible consulting service (e.g. under German BAFA funding). Eligibility is assessed individually - we will tell you, without obligation, what is realistic.
How does this differ from the Platform Audit?
The audit evaluates an existing system. The feasibility sprint builds something that runs on your data and measures its quality - for the case where you don't have a system yet.
How long does it take and what do we need to provide?
Depending on the tier, 1-3 weeks from data provisioning. You provide the data in machine-readable form, a subject-matter contact and a question set with real questions.
Measure first, then invest.
A feasibility sprint costs a fraction of what a failed AI project consumes. Let us talk about your use case.