There are four parts to this. Most organisations focus on the last two.
The redesign. Before anything gets automated or enforced, the decision workflow itself has to be rethought — not documented as it exists today, but rebuilt around what AI can now actually do. Skip this step and you’re automating a workaround nobody needs anymore. This happens with a subject-matter expert who knows the workflow and its failure modes, working through what the process should be, not what it’s always been.
The spine. Out of that redesign comes the boundary or which decisions are safe to hand to AI, and which always need a person, regardless of how confident the system is or what further evidence might say. This is judgement work, done in advance, not in the moment.
The guardrail. The infrastructure that forms, holds, and enforces a decision once its boundary is set. This is genuinely hard engineering, and some of the best minds in AI are working on it right now.
The automation. The work that runs inside the boundary once it’s marked — fast, repeatable, and safe precisely because someone already decided it was safe.
Almost everywhere, the first two are missing. Organisations reach straight for enforcement and automation, on top of a decision process nobody redesigned and a boundary nobody set.
That’s where SpatialNext starts — with one focused engagement built around exactly that gap.
The Decision Spine Diagnostic
Two weeks. One workflow. Fully mapped. A focused engagement examining one consequential AI-enabled decision workflow — not as it’s documented, but as it actually runs. You leave with a redesigned workflow, a decision inventory, a boundary matrix, and an authority map built against the sign-off chains you already have: knowing exactly where your fence has no line marked, before a regulator, a plaintiff’s attorney, or a headline finds it for you.
If you’re deploying AI at a point where a wrong call has real consequences, and can’t currently answer — by name and in writing — what your system is actually authorised to do on its own, that’s usually where our conversations start.
Free 30-minute conversation. Learn more here or contact me directly: mattsheehan@spatialnext.io