On-prem AI agents
AI agents.
On your infrastructure.
Connect documents, decisions, and handoffs with custom agents running on company servers. We build around the tools people already use, with clear limits on what each agent can do.
What the work covers
Built around your business.
Document preparation
Extract requirements, compare information, summarise source material, and prepare a first draft for review. Surface missing details instead of silently filling in the gaps.
Knowledge assistants
Help people find relevant information across approved manuals, procedures, and past projects. Show the sources so the answer can be checked.
Connected workflows
Connect agreed inboxes, records, and internal tools. Define the steps an agent can take and how to handle incomplete information or failed actions.
Human approval
Keep important actions behind an approval step. Record the inputs, outputs, and actions needed to investigate a result and improve the workflow.
A practical next step
Make the first project clear.
- Choose one workflow and measure the current effort.
- Build an on-prem AI pilot using real examples, tools, and approval rules.
- Compare quality and time saved before expanding the scope.
Before we start
Practical questions.
Which workflow should we start with?
Choose a recurring task with examples that staff can review, such as preparing a quotation brief or finding information in approved manuals. We measure the current effort, identify the required documents and tools, then build a pilot around that task. Quality and time saved guide the decision to expand it.
Can an agent send a quotation or make a commitment?
We define the actions an agent is allowed to take and where it must ask for approval. In a quotation workflow, it prepares a brief; engineers confirm specifications, pricing and customer commitments before anything goes out. Missing information and failed actions have defined handling, with records available to investigate the result.