Enterprise AI Implementation: From Sandbox Concept to Resilient Production
Enterprise AI Implementation Services by Aivio Intelligence transition strategic blueprints into high-availability production systems within 90 days. We engineer hardened retrieval-augmented generation (RAG) pipelines, deterministic agentic workflows, bi-directional ERP/CRM connectors, and automated compliance guardrails, backed by continuous observability, rigorous latency guarantees, and 100% client intellectual property ownership.
How We Ship Production AI in 90 Days
A battle-tested agile engineering sequence designed to de-risk delivery at every milestone.
Data Foundation & Architecture
- Document schema extraction & chunking strategy
- Vector DB provisioning (Qdrant / pgvector)
- Security perimeter & tenant isolation setup
Engine & RAG Pipeline Build
- Hybrid lexical + semantic retrieval indexing
- Multi-agent workflow logic with LangGraph
- Output validation schema via Pydantic
Systems Integration & Guardrails
- Two-way ERP, CRM, and webhook integration
- Human-in-the-loop exception dashboard
- DPDP / PII redactor & prompt injection defense
Canary Release & SLA Hardening
- 5% → 25% → 100% canary traffic rollout
- OpenTelemetry trace & token latency profiling
- Operator handover & 99.9% uptime SLA activation
Enterprise Engineering Standards
We deploy battle-tested open-source and enterprise-grade infrastructure built for low latency and zero vendor lock-in.
Orchestration & Models
LangGraph, LlamaIndex, LiteLLM proxy router. Multi-model routing between Claude 3.5 Sonnet, Gemini 1.5 Pro, and local self-hosted Llama 3 weights via vLLM.
Data & Vector Indexing
Qdrant, pgvector, Apache Kafka streaming, unstructured document pipelines (Docling, Unstructured.io), and hybrid BM25 lexical rerankers (Cohere Rerank).
Observability & Guardrails
Langfuse, OpenTelemetry, Prometheus/Grafana, NeMo Guardrails, automated PII masking, and deterministic JSON Schema enforcement.
Implementation & Delivery Questions
What does Aivio's 90-Day AI Implementation Framework include?
The 90-day framework covers four structured phases: (1) Days 1–14: Data Pipeline Engineering & Architecture Definition; (2) Days 15–45: Cognitive Engine & RAG Retrieval Implementation; (3) Days 46–70: ERP/CRM Integration, Guardrails & Human-in-the-Loop Workflows; (4) Days 71–90: Canary Testing, Load Testing, Observability & Production Go-Live.
How do you prevent production hallucinations and data drift?
We implement three distinct defense layers: (1) Strict ground-truth RAG with semantic threshold filtering; (2) Deterministic Pydantic / JSON-schema output validators that reject and retry malformed responses; and (3) Automated continuous evaluation harnesses (Ragas / TruLens) that benchmark factuality, context relevance, and answer faithfulness on every release.
Who owns the intellectual property and code developed during implementation?
Your enterprise owns 100% of all intellectual property, data pipelines, fine-tuned model weights, orchestration code, and proprietary prompt templates. Aivio delivers clean, documented, modular codebases deployed directly within your own cloud or on-premise infrastructure.
Can you integrate with on-premise or legacy databases like SAP, Oracle, or SQL Server?
Yes. We specialize in hybrid and on-premise deployments. We connect modern LLM reasoning agents to legacy systems via secure private API gateways, CDC (Change Data Capture) pipelines, or read-only transactional replicas, ensuring zero direct write exposure to production mission-critical ledgers.
What production SLAs and support models are offered post-launch?
We provide comprehensive Level-3 operational support, including 99.9% uptime SLAs on cognitive middleware, latency monitoring, token cost optimization audits, model version migrations, and continuous drift detection.
Request an AI Implementation Scoping Call
Tell us about your target workflow and data architecture. Our solutions engineers will review technical requirements and outline a sprint roadmap.