JW Tech
L3AI-Native Operations

Run AI Agents on Your Own Business Data

Private and hybrid model deployment, agent orchestration, RAG over enterprise knowledge, and production-grade AI workflows with cost and quality controls.

Why This Tier

Run AI agents on your own business data.

Most AI projects never make it past the pilot. The reasons are predictable: no integration with real data, no evaluation framework, no cost ceiling, no fallback behavior. AI in production is a systems problem, not a model problem.

We build production AI workflows the same way we build automation systems — with observability, evaluation, cost controls, and human-in-the-loop where it matters. Including private and hybrid model deployment when data sovereignty is non-negotiable.

Who this tier is for

Mid-to-large enterprises with mature digital and operational infrastructure who care about data sovereignty, deployment cost, and putting AI somewhere it actually moves a metric — not just a demo. Strong fit for telecom, regulated industries, and data-sensitive sectors.

What's Inside

What we deliver at L3

Private & Hybrid Model Deployment

On-prem, private cloud, or hybrid model serving with enterprise data protocols. Your data never leaves your perimeter unless you explicitly say so.

Agent Orchestration

Multi-step agents wired into your existing automation systems — not floating chat windows. Agents that take real actions, with audit trails and rollback paths.

RAG Over Enterprise Knowledge

Hybrid search across structured and unstructured sources, scoped by access policy. Designed for the data shape and access controls you already have.

Evaluation & Cost Control

Eval frameworks, prompt regression tests, and token-budget guardrails. Without these, an LLM in production is a slow leak in your operating budget.

Human-in-the-Loop Workflow Design

Knowing when AI should propose, decide, or escalate. We design the boundary between automation and human judgement deliberately, not by accident.

Tech We Use

The stack behind L3

vLLMOllamaLlama / Qwen / MistralLangGraphOpenAI / Anthropic SDKPineconeWeaviateAWS BedrockPython
Typical Engagement

Discovery → POC → Production, each with clear exit criteria. We don't build production-grade systems on POC budgets.

Ready to Start

Let's Build Something
That Works at Scale

Wherever you are on the path — building a digital foundation, automating operational work, or putting AI into production — we'd like to understand the problem first.

No commitment required. We start with a discovery conversation to understand if there's a fit.