Packaged offer · 6–10 weeks
AI Productionization Sprint
Your AI is stuck in proof of concept.
Deliverables
What you have at the end.
- Architecture assessment
- Security hardening
- Evaluation harness
- Observability
- Cost model
- Production hardening
The capability behind it
LLMOps
Lifecycle, deployment and monitoring for prompts and models.
Prompt lifecycle
Versioned, reviewed and tested prompts, deployable and revertible independently of application releases.
Model registry
Every model, adapter and index version registered with lineage, evaluation results and approval state.
Deployment strategies
Canary, shadow and A/B rollout for model and prompt changes, with automatic rollback on regression.
Inference gateway
One entry point enforcing routing, quotas, retries, fallback and caching across providers.
Choose your starting point
Where Are You Today?
Enterprise AI conversations stall when the entry point is wrong. Pick the sentence that matches your situation.
We have an idea.
→ AI STRATEGY
We have a POC.
→ AI PRODUCTIONIZATION
We have an AI application.
→ LLMOPS / AGENTOPS
We need autonomous workflows.
→ AGENTIC AI
Our AI is too expensive.
→ AI FINOPS
Our AI can't reach enterprise knowledge.
→ RAG & KNOWLEDGE
We can't send data to public AI.
→ SOVEREIGN AI
We need to run AI securely.
→ AI SECURITY
Move AI to Production
Data sovereignty. Enterprise RAG. AI agents. Fine-tuning. AI economics. Security. Legacy systems. Autonomous operations. Start with the problem — we'll help you engineer the intelligence.
30 MINUTES WITH AN ARCHITECT · BRING YOUR HARDEST CONSTRAINT