ServicesAI integration
AI where it removes real work
Almost every business has a repetitive middle: intake, drafting, sorting, answering the same question for the hundredth time. That is where AI earns money. Everywhere else it is a press release with a running cost.
Find the hours first
Before anything is built, we work out where the time actually goes and what it costs you. Some of what turns up is not an AI problem at all, and saying so is part of the job. What is left is a short list of places worth automating.
Built into the work, not beside it
A tool nobody opens saves nothing. The useful version lives inside what your team already uses, so it happens as part of the job rather than being a task on top of it.
Guardrails, because it will be wrong sometimes
What it may decide alone, what a person signs off, and what happens when it is unsure. Anything touching money, contracts or a customer gets a human in the loop by default. Systems designed without that are the ones that end up in the news.
Handed over, not rented back to you
You get the thing documented, with its costs visible and its settings in your hands. The goal is that it keeps working whether or not you keep working with me.
What you get
- An audit of where the hours actually go
- Assistants and chat, where they fit the work
- Workflow automation between the tools you use
- Guardrails and human sign-off where it matters
- Documentation, costs and handover
Who it is for
- Businesses where someone retypes the same information into two systems
- Teams answering the same customer question all day
- Anyone told they need AI without being told what for
About this service
- Will this replace my staff?
- That is not what I build. The work worth automating is the part your people already resent: the retyping and the sorting. What is left is the part you hired them for.
- What does it cost to run?
- There is usually a monthly cost for the models and services underneath, and you see it before anything is built. If the running cost is close to the time it saves, I will tell you not to build it.
- Is my data safe?
- That depends on choices made when it is built, and they get made deliberately: what leaves your systems, what is retained, and by whom. If a use is not safe to build, the answer is not to build it.