Most AI projects do not fail on the model. They fail on the integration, the edge cases and the handover. This is how we run a deployment.
We sit with the people who do the work today and map the process as it actually runs, including the exceptions nobody wrote down. We agree what the agent will own, what it will escalate, and what success looks like in numbers.
We connect to the systems that hold the truth, your ERP, CRM, document stores and messaging channels, and build the agent against your real data: your catalogue, your fields, your business rules.
A narrow scope goes live with real users. We watch the conversations, fix what the field exposes, and tune the agent against the cases that only ever appear in production.
Scope widens, more workflows move across, and your team takes the controls. You get documentation, monitoring, and a named contact who already knows your deployment.
Not every organisation can put its data in the same place. Pick the model that matches your infrastructure and the rules you answer to.
The fastest way to start. You run on our managed environment, logically isolated from every other customer, and you get improvements as we ship them without planning an upgrade.
Your own isolated instance, with configuration specific to your organisation and an update schedule you agree rather than inherit. Suited to teams with their own change control.
The agent runs in your cloud account. Your data stays inside your tenancy, under your security and governance rules, and you decide when anything is upgraded.
For environments that cannot reach the public cloud at all. The deployment sits in your data centre with no outbound dependencies, and we maintain it with your team on site.
A typical custom agent reaches production in four to eight weeks. The variable is rarely the agent itself. It is the number of systems it has to talk to and how clean the data inside them is.
We integrate with what you already run rather than asking you to move. Priority, Salesforce, Microsoft 365, Google Workspace, WhatsApp and the rest of your stack stay exactly where they are.
Bring us the process that costs you the most hours. We will tell you honestly whether an agent is the right answer for it.
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