Agentic Rot & API Fragility
Third-party APIs change schemas, upstream ERP databases update column names, and custom agents suddenly throw unhandled exceptions or run in infinite loops.
AI is not traditional software. It drifts, hallucinates, breaks upstream connections, and bleeds cloud budget if left unattended. Eliama Agency provides 24/7 autonomous monitoring, cost-reduction engineering, and continuous modernization for enterprises with existing AI investments.
Over 80% of organizations that adopted generative or predictive AI between 2023 and 2025 now sit on brittle, unmaintained technical debt. We solve it.
Third-party APIs change schemas, upstream ERP databases update column names, and custom agents suddenly throw unhandled exceptions or run in infinite loops.
Prompts that worked six months ago deliver degrading outputs as user behavior changes and foundation models receive unannounced backend updates.
Multi-agent architectures generate redundant tokens, recursive reasoning loops, and zero-cache queries, causing monthly LLM bills to triple with no added value.
Models deployed in HR, credit scoring, supply chain triage, or industrial safety now face strict post-market monitoring, audit logging, and risk mitigation mandates.
The external boutique agency or internal contractor that built the custom pipeline left, leaving untyped, unmaintained code your IT team is afraid to touch.
Your inference and token costs climb every month, but user volume hasn't grown proportionally.
Your prototype was delivered by a third-party developer, but no one on your internal team knows how to update the prompts or vector stores.
Your agents hallucinate or fail silently on unexpected data schemas, and you find out only when an end-user files a complaint.
Your legal team is asking how your current AI infrastructure complies with European AI Act transparency and audit standards.
We take over the maintenance burden so your internal teams can focus on core business.
For companies feeling their AI is unreliable or too expensive, but unsure where the failure is.
For enterprises with business-critical AI running in front of clients or core operational teams.
For organizations bringing shadow-AI or ungrounded prototypes up to enterprise-grade stability.
CLIENT PRODUCTION AI
Custom LLMs, Legacy Agents, Multi-Vendor MicroservicesTelemetry Tap — OpenTelemetry / APIs
ELIAMA YARROW ENGINE
AUTONOMOUS CIRCUIT BREAKERS — Kills infinite loops & recursive token spikes · Fallback to deterministic rules when models hallucinate · Daily cryptographic compliance ledger (EU AI Act)
Yarrow intercepts queries and automatically routes simple tasks to small, local models, only invoking high-cost frontier models when complex reasoning is genuinely required.
If an agent deviates from its designated policy bounds or begins looping, Yarrow arrests the process before it drains cloud credits or triggers faulty ERP writebacks.
Produces immutable, timestamped audit logs recording exact prompt-response chains, tool calls, and data sources for regulatory inspection.
We migrate your existing workloads off unvetted US endpoints directly into Kervalt's European bare-metal infrastructure.
We don't just restart servers; we tune temperature parameters, optimize context windows, compress vector indexes, and re-anchor retrieval pipelines.
In 9 out of 10 client environments, our semantic caching and model-routing optimizations save more on compute than the cost of our monthly retainer.
A 14-day deep-dive audit of your existing AI codebase, latency profiles, token spend, security vulnerabilities, and compliance readiness.
Tiered SLAs based on the number of production agents, including uptime monitoring, token optimization, prompt maintenance, and 24/7 incident response.
Modernizing an unstable LangChain or custom AI prototype and porting it into a production-grade FloraOS or Kervalt architecture.