Give the repetitive work to a machine.
Someone on your team is doing a robot's job.
Book a consultationThe problem
Copying figures between two systems. Retyping the same quote with three numbers changed. Reading every incoming enquiry to decide which of four folders it belongs in. It is nobody's actual job, it happens every single day, and it is quietly consuming a salary's worth of hours a month.
What you actually get
Concrete things, not adjectives.
Workflow automation
The handoffs between your tools, automated — so data stops being retyped between systems.
AI-assisted internal tools
Drafting, summarising, classifying, and extracting, wrapped in an interface your team can actually use.
Custom AI products
Where the AI capability is the product itself, built and shipped as a real application.
Human-in-the-loop design
We decide deliberately where a person must approve. Automation that removes the expert is a liability, not a saving.
How it runs
The process for ai automation.
Find the drain
We look for the task that is high-volume, rule-shaped, and boring. That is where the hours are.
Draw the line
We agree what the machine drafts and what a human approves, before we build.
Build and measure
Ship it, then check it against the hours it was supposed to save.
Widen
Once one workflow is proven, the next one is cheaper.
Not our word for it
What they said after.
We were running the company across five tools that refused to talk to each other. Now project cost, team capacity and pipeline are one screen. We ask those questions far more often than we used to, because it finally takes a second to answer.
Adam Goodyer
APG Software Solution
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