AI Agents · LLMs · Azure & AWS

AI that works inside your business.

We implement AI Agents & LLMs that automate decisions, workflows, and operations — connected to your own data and tools.


Built onAzure AI FoundryAWS BedrockAzure OpenAIGPT-4oClaudeMistralSemantic KernelLangChainPineconeAzure AI Search

What we build

Three capabilities. One integrated system.

01

Custom AI Agents

We build autonomous AI agents tailored to your business — agents that research, decide, and act across your tools, APIs, and data without manual intervention.

02

LLM Integration & RAG

We embed large language models into your products and internal tools — connected to your own data via RAG so every answer is accurate, private, and on-brand.

03

AI Workflow Automation

We replace manual processes with multi-agent pipelines — from document processing and approvals to reporting and customer interactions, fully automated end-to-end.

What's included

The full AI stack, end to end.

Book an AI consultation
Agents

Custom AI Agents

Autonomous agents that monitor, decide, and act — integrated with your tools via Semantic Kernel or LangChain, deployed on Azure AI Foundry or AWS Bedrock.

RAG

Retrieval-Augmented Generation

RAG pipelines over your documents, SharePoint, or Confluence — accurate, cited answers with hallucination dramatically reduced.

LLMs

LLM Integration & Fine-Tuning

Azure OpenAI, GPT-4o, Claude, or Mistral — we select, fine-tune, and integrate the right model for your use case and data-residency requirements.

Automation

AI Workflow Automation

Multi-agent pipelines that trigger on events, process with AI, and push results where your team already works — email, Slack, ERP, CRM.

Knowledge

Knowledge Base AI

Turn internal documentation, support tickets, and tribal knowledge into a searchable, AI-powered source of truth for every team member.

Ops

Evaluation & Observability

Every deployment includes accuracy benchmarks, latency monitoring, and feedback loops so your AI keeps performing in production.

Why AI Agents?

The difference between AI as a demo and AI as a business asset is integration. Agents connected to your real data, systems, and workflows create compounding value every month — not a one-time bump.

For whom?

Operations teams drowning in manual processing. Finance chasing approvals. Legal reviewing contracts. Support repeating answers. If your team does repetitive knowledge work, there is an agent for it.

How we work

From discovery to production in weeks — not months.

Schedule a free call
01

Use-Case Discovery

We map your highest-value automation opportunities — interviewing stakeholders, auditing workflows, and pinpointing where AI agents will create measurable, lasting impact.

02

Architecture & Data Design

We design the agent architecture, RAG pipeline, and data connectors — selecting the right LLM, vector store, and orchestration layer for your compliance and latency requirements.

03

Build & Integrate

We build and deploy the agents, wiring them to your tools, SharePoint, APIs, or databases — with monitoring and observability configured from the first commit.

04

Evaluate & Tune

Accuracy benchmarks, hallucination testing, and latency profiling before go-live. Every metric is measured and reviewed with your team before anyone touches production.

05

Ship & Scale

Production deployment with feedback loops, retraining hooks, and an escalation path. We start with one high-value agent and expand from there — systematically.

Ready to put AI to work?

Book a free consultation. We'll pinpoint your highest-value automation and outline a path to production — no obligation.