Custom AI Agents

Most AI agents on the market are decision trees wearing a chat interface. We build ones that actually do something.

Most AI agents on the market are decision trees wearing a chat interface. We build agents that actually retrieve information, execute tasks, and make decisions, within Microsoft's ecosystem, where your data and identity controls already live. 

We design and deploy intelligent AI agents such as Copilots that interact with users, retrieve information, execute tasks, and make decisions across web applications, internal systems, and customer facing channels. Built on Microsoft Copilot Studio and Azure AI Foundry, these agents act as always on assistants for your team and your customers. 

How we help 

  • Customer facing AI assistants: for service, sales, and support channels, deployed to Teams or embedded on your site. 
  • Internal Copilot agents: Sales, Marketing, HR, and Operations agents that work inside your existing Microsoft 365 environment. 
  • Multi agent architectures: when one assistant is not enough and tasks need to route between specialized agents. 
  • Governance and security configuration: agents that respect your existing access controls rather than introducing a new attack surface. 

Technology 

  • Microsoft Copilot Studio 
  • Azure AI Foundry 
  • Microsoft Teams 
  • Dataverse 
  • Microsoft Entra ID for access control 
  • Azure OpenAI Service 
  • Power Automate for agent triggered workflows 

 

Why it matters 

Agentic AI is not limited to chat on a website or information retrieval from one content source. The real value appears when agents can understand a user’s intent, combine knowledge from approved business systems, trigger workflows, support decisions, and hand work over to people or other agents when needed. This makes agentic AI relevant across sales, marketing, HR, operations, customer service, finance, project delivery, and industry-specific processes. 

We design agents as part of a wider digital work environment, not as isolated chatbots. That means choosing the right architecture for the task: Copilot Studio when it fits, Azure AI and custom integrations when more control is needed, and automation platforms when the agent must take action. Governance, identity, permissions, data quality, and human oversight are treated as design decisions from the start, so agents only access what they should and only act within clearly defined boundaries. 

Frequently asked questions

No, and we will tell you when it is not. Copilot Studio is excellent for Microsoft embedded, internal facing agents. For completely custom agentic AI solutions, we recommend a different architecture entirely, which we offer as a separate service. We mainly use Azure AI Foundry for this with a selection of thousands of LLM's.
Yes, agents are built with your existing Microsoft Entra ID and access controls respected, not bypassed. Governance and security configuration are part of every agent deployment, not an optional extra
This is a known risk with all generative AI, which is why we build in guardrails, source grounding, and testing before launch. We have also run structured evaluations specifically to surface where an agent is likely to fail.
You can run multiple specialised agents, for example Sales, HR, and Operations, either as separate agents or as a multi agent setup that routes tasks between them. We will recommend whichever fits your actual usage pattern.

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