Opportunity map
Repeated work ranked by impact, readiness, risk, and the quality of available context.
Expensive AI is quiet. It recovers context, prepares decisions, and removes repeated work while keeping the right human checks visible.
Capability / 04A carefully scoped workflow where AI supports judgement, automation handles repetition, and the team can see exactly what happens at every hand-off.
No published ai automations project story is attached to this capability yet. We will not present adjacent work as direct proof.
The capability description and process are current. Direct project evidence will appear here only when a matching case is published.
Browse all published workThe exact scope follows the problem. These are the working parts we use to turn the strategy into something the team can operate.
Repeated work ranked by impact, readiness, risk, and the quality of available context.
Triggers, inputs, decisions, human checks, exceptions, and system hand-offs made explicit.
The selected workflow connected to the tools the team already uses where practical.
Clear ownership, monitoring, fallback behaviour, and documentation for the people running it.
We start with a normal week, not a list of AI products.
We decide what can be automated, what needs a human, and how exceptions should surface.
We implement the highest-leverage path, measure it, and only then decide what deserves extension.
The useful starting point is usually not replacement. It is removing recovery, repetition, and low-value coordination so people can spend time on decisions and relationships.
Not necessarily. We begin with the workflow and use existing tools where they can support it reliably.
Share the current situation. We'll identify the smallest credible starting point and say plainly if another move should come first.