An agent has one goal, the access it needs and clear rules. It answers, drafts or acts inside your systems, and hands to a person when judgement is needed.
The difference is how much an agent does without a person. We match the type to the job and the independence to the risk.
Software vendors are shipping ready-made agents, and more arrive every month. We give you an independent view of which to use, then make sure it's safe and works with your systems.
Platforms, systems and your business change underneath every agent. We look after the whole lifecycle.
Faster customer communication, more consistent quality and less time writing emails.
Staff spent too much time searching documentation and asking colleagues for routine information. A Microsoft Copilot Studio agent connected to internal documentation and business processes.
Staff ask questions in Teams and get instant, accurate answers without leaving their normal workflow.
A chatbot answers questions. An agent can also take action: drafting, updating records or raising tickets inside your systems. How much it does without a person is set by the job and the risk.
We're model-agnostic. We choose the right model for each job, from providers such as OpenAI, Anthropic and Google or open-source models, so you're not locked in to one vendor.
It depends on the job. Ready-made agents suit common tasks; your own processes and data often need one built or adapted. We'll give you an independent view, then check, test, connect and govern whichever you choose.
Inside the tools your people already use, such as Microsoft Teams, Microsoft 365 Copilot or your service desk platform.
We monitor it, fix errors, and retest and update it as platforms and models change, with regular reporting on usage and the value it delivers.
Tell us the task. We'll give you a straight view on whether an agent is the right fix.