Target to define — Move from impressive demo to stable feature.
Possible deployment — We set evals, guardrails, observability and exit criteria — then industrialize with your squads.
Make agent features and internal workflows reliable through guardrails, evidence and progressive transfer to product and engineering teams.

Latency, hallucinations, token cost, drift: the product POC does not survive real traffic.
Hard-coded prompts, no evals, no fallbacks, improvised data pipelines.
Without shared framing, every squad reinvents an incompatible agent stack.
Illustrative scenarios — every deployment is scoped with signed KPIs before production.
Target to define — Move from impressive demo to stable feature.
Possible deployment — We set evals, guardrails, observability and exit criteria — then industrialize with your squads.
Target to define — Avoid an agent stack jungle per team.
Possible deployment — We define a reference architecture, agent patterns and reusable data/model governance.
Target to define — Accelerate without hiring a full agentic army.
Possible deployment — Embedded Remparia teams to ship, document and transfer — not an external black box.
No. LLM-agnostic: best model per task, with switchability by cost, performance and sovereignty.
Yes — embedded or co-delivery, with engineering standards, tests and progressive ownership by your teams.
From design: model routing, cache, truncation, regression evals and budgets — not after the cloud bill.
Yes. SIGNAL diagnostic: risks, debt, quick wins, then an industrialization roadmap.
In one hour, we frame repetitive work, data constraints and the gains to measure — with a partner, not a salesperson.