Assessment-first beats pilot-first
Teams that score production readiness before scaling pilots clear enterprise review sooner. Fixed-scope diagnostics surface the 5–8 gaps that block sign-off – not another PoC.
Volume 1
Production AI Radar
Production AI stack signals for DACH/EU B2B teams
Four rings score adoption confidence
Adopt sits at the center: run it in production today. Trial and Assess widen the circle as evidence thins. Caution marks tools we would not bet a regulated workload on.
Six quadrants map your production stack
Every blip lands in the slice of the stack it serves, from model operations to governance. Read your weakest quadrant first; that is usually what blocks release.
Movement shows what changed this volume
New blips appear, proven tools pull inward toward Adopt, and disproven ones drift out. The delta between volumes is the actual signal.
Explore the radar
Six production quadrants, 38 mapped tools, and 26 adoption guides. Filter by ring, quadrant, buyer context, or search your stack. Score it against your gaps in a fixed-scope stack assessment.
MLOpsLLMOpsObservabilityFinOpsPlatform & DevExGovernance
Your stack
Themes for Volume 1
Patterns from production AI work in DACH/EU, not generic industry hype.
LLM cost bleed is the new shadow IT
Ungoverned API keys, missing token attribution, and no routing policy routinely push LLM spend well past forecast. FinOps for inference is no longer optional for mid-market B2B.
Landing zones beat click-ops AI accounts
Shared accounts without network, identity, or tagging baselines force every model and agent into a security exception. Terraform landing zones are becoming the default enterprise ask before the first production inference path.
Agentic coding needs harnesses, not hope
Coding agents without feedforward specs and feedback gates create cognitive debt faster than they ship features. Golden paths and quality sensors belong in the loop before human review.
Infra uptime ≠ model health
Standard APM green while answers degrade is a common surprise in LLM production incidents. AI observability is a distinct layer – not a dashboard add-on.
Guardrails belong in Git, not slide decks
Input/output rails, injection tests, and PII scrubbing only work when versioned, reviewed, and red-teamed like any other production control – not as a one-time security workshop.
Vector ops is the hidden RAG bottleneck
Model choice rarely explains bad RAG. Collection versioning, filtered search, backup, and reindex gates separate demos from systems that survive enterprise traffic.
Next step
Get the straight answer and your evidence inventory in 10 business days
Fixed price per agreed scope, from €4,500, ending in an honest go / fix-first / pause verdict and a 90-day ranked backlog. Book a Production Implementation Sprint or the Private LLM Platform Package within 90 days and we credit 100% of the assessment fee.
- 6-dimension maturity heatmap
- FinOps opportunity register
- EU AI Act system inventory
- Evidence inventory for security, procurement and compliance reviews
- DevEx scorecard
- Data & delivery findings
- 90-day ranked backlog (IaC & automation first)
- Executive readout
You talk to the engineer who does the work.