Core service - Custom AI Build

AI projects fail at a high rate, and the common thread is fit: a general tool bent to a process it was never designed around.

Fixing that starts with mapping the process, then building for it and staying involved until it's used day to day.

Most AI projects fail because they were never built to fit the business using them.

“We bought an AI tool, and it hasn't actually changed anything.”

More than 80% of AI projects fail to deliver real business value, and only around 6% of organisations capture significant value from AI at all.

AI was never the problem. The failures come from bolting it onto a process, and a team, that were never designed around it.

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80%+

of AI projects fail to deliver their intended business value by some estimates, roughly twice the failure rate of comparable non-AI IT projects.

RAND Corporation, The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed, 2024

Discovery & Process Mapping
The build starts with how your business already runs, not a generic template or an off-the-shelf tool's assumptions about your workflow. It's the step most failed AI projects skip entirely.
Custom Build
AI built specifically around the mapped process, not a general-purpose tool bent to fit afterwards. Built for that workflow, it gets used, not left running in the background unused.
Adoption & Training
Getting a tool built right is only half the job. The other half is working with your team until using it becomes part of the daily routine.
Ongoing Iteration
AI that evolves as your business does, refined against how it's being used, so it keeps working as your process changes.
AI Vision
Computer vision applied directly to physical operations, site compliance, quality checks, footfall and floor tracking, each one a purpose-built model trained for its specific use case, not a generic tool retrofitted to a task it wasn't designed for.
ClearVault
ClearVault runs on private, data-sovereign infrastructure, with isolated workspaces per team or function, so your data never leaves your control and never touches a public model, whatever the custom build is for.