Artificial Intelligence

Agentic AI Solutions

LLM Workflows That Run Autonomously. Auditably. In Production.

Overview

What This Service Delivers

Building an AI demo is straightforward. Building an AI system that runs reliably in production — with auditability, cost controls, error handling, and human-in-the-loop escalation — is an engineering problem. Enov8s designs and delivers multi-agent architectures, RAG pipelines, and LLM-orchestrated workflows that meet enterprise standards for reliability, compliance, and performance.

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82%

Reduction in manual document review time — insurance underwriting system

Scope of Service

What You Get.

Multi-agent orchestration (LangGraph, AutoGen, CrewAI)

RAG pipeline design: chunking, embedding, retrieval, and re-ranking

LLM selection, evaluation, and cost-performance optimisation

Tool-use and function-calling architectures

Human-in-the-loop escalation and review interfaces

Audit trails, explainability, and compliance reporting

Prompt engineering, version control, and regression testing

Our Process

How We Deliver.

Use Case Definition

We map your process, define the agent scope, and identify where automation is safe versus where humans must remain in control.

Week 1

Architecture Design

Agent topology, LLM selection, retrieval strategy, tool registry, and evaluation framework agreed upfront.

Week 2

Build & Evaluate

Iterative build with automated evaluation at each stage. No vibe-check releases.

Weeks 3–8

Production Deployment

Monitoring, cost dashboards, guardrails, and runbooks. Deployed to your cloud environment with full handover.

Week 8+

Social Proof

What Clients Say.

"Enov8s understood our regulatory constraints from day one. The AI system passed our internal audit on first submission."

Head of Underwriting Technology

UK Insurance Group (NDA)

FAQ

Common Questions.

Which LLM providers do you work with?+

OpenAI, Anthropic, Google (Gemini), Mistral, and open-source models. We are model-agnostic and help you choose based on cost, performance, and data privacy requirements.

Can you work within our existing data privacy constraints?+

Yes. We regularly build on-premise or VPC-isolated deployments using open-source LLMs where data must not leave your environment.

Ready to Get Started with Agentic AI Solutions?

Tell us what you need. We'll show you exactly how Enov8s delivers — with the right team, the right model, and a timeline that works for you.

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