AI Agent Design & Build

AI agents that reason, act, and deliver results.

We design, build, and deploy production-grade AI agents on Azure AI Foundry — using Semantic Kernel, Prompt Flow, and rigorous evaluation to ensure they work in the real world.

How It Works

Design, build, and deploy in four weeks.

01Week 1

Agent Architecture Design

We design the full agent architecture — defining orchestration patterns, tool and plugin strategy, memory requirements, and evaluation criteria before a single line of code is written.

  • Agent orchestration pattern selected
  • Tool and plugin inventory defined
  • Evaluation framework designed upfront
02Weeks 2–3

Build & Evaluate

Your agents are built using Azure AI Foundry, Semantic Kernel, and Prompt Flow — with continuous evaluation against ground truth datasets throughout development to ensure production quality.

  • Agents built in Azure AI Foundry
  • Continuous evaluation against benchmarks
  • Multi-agent workflows configured
03Week 4

Deploy & Monitor

Agents are deployed to your Azure infrastructure with monitoring, alerting, and logging configured — so you have full observability over agent behaviour and costs from day one.

  • Production deployment to Azure
  • Monitoring and cost alerts configured
  • Handover documentation and runbook

What's Included

Every layer of a production-grade AI agent.

Semantic Kernel Orchestration

Agents built on Microsoft's Semantic Kernel framework — enabling reliable, testable orchestration of LLM calls, tools, and memory across complex multi-step workflows.

Tool & Plugin Design

Custom tools and plugins that give your agents access to internal APIs, databases, and enterprise systems — with proper error handling and retry logic for production reliability.

Multi-Agent Workflows

Design and implement multi-agent systems where specialised agents collaborate — including orchestrator-subagent patterns, handoffs, and shared memory contexts.

Memory & Context Management

Implement short-term conversation memory, long-term semantic memory using Azure AI Search, and context compression strategies to keep agents accurate without token bloat.

Evaluation Framework

Automated evaluation pipelines using Azure AI Foundry's evaluation SDK — measuring groundedness, relevance, coherence, and task completion against curated test datasets.

Prompt Flow Deployment

Production-grade deployment via Azure AI Foundry Prompt Flow — with versioned flows, A/B testing capability, and managed online endpoints for low-latency inference.

Who It's For

Is this engagement right for you?

Engineering teams needing AI expertise

Software teams with strong engineering skills but limited LLM agent experience — you need a partner who has built production agents on Azure, not demo prototypes.

Clear use case, no AI engineers

Businesses that have identified a valuable AI agent use case and have Azure access but lack the in-house AI engineering capability to build it properly.

Production-grade, not demo-grade

Teams who have seen AI demos that look impressive but fail in production — you need agents with real evaluation, proper error handling, and observable behaviour.

Ready to build AI agents that actually work in production?

Four-week fixed-price engagement. Production-deployed agents. Full evaluation coverage.