Bring us a process that frustrates you

Small and mid-sized organizations that have outgrown their manual processes — typically 5 to 200 people, in professional services, healthcare, logistics, trades, e-commerce and property. The common factor is repeated work, not an industry.

Building systems that carry out work your team repeats, following rules you set. AI is useful for the parts needing interpretation — reading an email, classifying a request, drafting a first response, pulling a figure out of a document. The rest is ordinary, reliable software.

Software that can read context, decide what to do next and take a defined set of actions. The important design decisions are the boundaries: what it is allowed to touch, and where a person must approve before anything happens.

The Model Context Protocol, an open standard for giving AI tools controlled access to real systems. Instead of pasting data into a chat window, an assistant reads live records through explicitly scoped tools — so answers reflect reality, and access is limited to what you allow.

Usually, yes. Most engagements connect what you already pay for rather than replacing it. If a tool genuinely cannot be connected, we will say so early.

No. You need to know how your business works. We handle the rest, and document it so your team can run it without us.

It depends entirely on scope, and we will not quote a timeline before understanding yours. Small automations are often live within a few weeks; a portal or a voice system takes longer.

Yes. Systems drift as the business changes, so most clients keep a light review arrangement. It is optional, and never a condition of the build.

Yes. Where data cannot leave your control, we design around that — self-hosted models, private deployments, or keeping sensitive data out of the AI path entirely.

Least privilege by default: a system gets access to what it needs and nothing else. Actions are logged, permissions are documented, and anything carrying real consequence waits for a person.