AI Solutions

AI Solutions

Production-grade AI on Azure — agentic apps, Copilot rollouts and custom LLM systems, engineered to last.

from azure.ai.projects import AIProjectClient
from azure.identity import DefaultAzureCredential

client = AIProjectClient.from_connection_string(
    conn_str=os.environ["AI_FOUNDRY_CONNECTION"],
    credential=DefaultAzureCredential(),
)

agent = client.agents.create_agent(
    model="gpt-4o",
    name="ops-copilot",
    instructions="Answer questions using only the provided tools.",
    tools=[search_tool, ticketing_tool],
)

run = client.agents.create_and_process_run(
    thread_id=thread.id, assistant_id=agent.id
)

We design and ship multi-agent systems on Azure AI Foundry — from orchestration and tool use to evaluation and production monitoring, so agents stay reliable once real users depend on them.

Agent orchestration & tool use
Evaluation & guardrails
Production monitoring

We roll out Microsoft Copilot and custom AI assistants across your organization, pairing every deployment with governance, security review and a training program so adoption actually sticks.

Copilot Studio & M365 Copilot
Governance & access policy
Org-wide training programs

We build retrieval-augmented and fine-tuned LLM systems grounded in your own data, using Azure OpenAI and AI Search to keep answers accurate, current and traceable back to source.

Retrieval-augmented generation (RAG) pipelines
Azure OpenAI fine-tuning & prompt engineering
Vector search with Azure AI Search

We embed responsible AI practices from day one — content safety, access control and cost governance — so your AI systems meet the same enterprise bar as the rest of your estate.

Responsible AI & content safety reviews
Cost monitoring & token usage governance
Data protection & access control for AI workloads
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