Custom AI Agents
AI agents built on the platform that fits, whether that's Microsoft Copilot Studio, Claude, OpenAI or Gemini. They're grounded on your own content, connected to your systems and designed to pass the security review first time.
Build where the business already lives
Your organisation already has the identity, access and governance an AI agent needs. Bolting AI on from the outside is how projects stall at the security review. We build agents that respect the permissions you already have and show up where your people already work, such as Microsoft Teams and Microsoft 365 Copilot, ChatGPT, Claude, your intranet or your own apps.
The right platform for the job
We're not tied to one vendor. We pick the platform that fits your use case, your data and the tools your people already use.
| Platform | Where it fits |
|---|---|
| Microsoft Copilot Studio | You run on Microsoft 365 and want a governed, low-code agent in Teams and Copilot |
| Microsoft Foundry | Low-code runs out: custom models, complex orchestration or line-of-business integration |
| Claude (Anthropic) | Long documents, careful reasoning and agentic workflows, through Claude or the Claude API |
| OpenAI | Custom GPTs for teams already on ChatGPT, or apps built on the OpenAI API |
| Google Gemini | Organisations that run on Google Workspace or Google Cloud |
Dan has 15 years of Microsoft 365 depth, so Microsoft is a strong option when you already run on it. It's one option among several, not the boundary.
What we build
- Knowledge agents grounded on your own content, such as an HR policy assistant, an IT help desk or a project knowledge base.
- Process agents that take action through workflows, APIs and connectors, such as onboarding, approvals, requests and triage.
- Specialist agents that draft proposals, summarise case files, check documents against standards or prepare reports.
- Advanced agents built on Microsoft Foundry, the Claude API or the OpenAI API when low-code runs out: custom orchestration or integration with line-of-business systems.
How we deliver
- Discovery: we pick the use case with the clearest value and agree what success looks like.
- Design: we choose the platform, map knowledge sources, actions, permissions and guardrails, and agree them with IT up front.
- Build and iterate: you get a working agent early, then we refine it with real users.
- Secure: we red team it before go-live, testing prompt injection, oversharing and unsafe actions.
- Launch and hand over: we publish it where your people work, write admin documentation and train your owners.
Security by design
Every agent we ship comes with least-privilege connections, clear data boundaries, respect for your data classification, human approval for consequential actions, and logging your security team can see. Security is built in from day one, not added after the fact.
Ready to talk about custom ai agents?
Tell us where you are on your AI journey. We'll come back with practical next steps, not a sales pitch.