01
AI is already in the workflow
Copilots, agents or automation software are in use. People still supervise, correct or finish a meaningful share of the cases.
1
Workflow to start
Assess
Before any build
Separate
Implementation decision
Private
Client names, unless agreed
01Where an assessment is useful
Three conditions, one workflow.
We do not treat every company, or every process inside a company, as ready for more autonomy.
02
The work has a volume and an owner
There is a recognizable trigger, a system of record, recurring intervention, and someone accountable for the outcome.
03
The next level is specific
The question is what blocks this workflow, what can safely run on its own, and what would have to change. It is not a company-wide automation programme.
02Patterns we recognize
Different rooms. The same stuck handoff.
These are patterns, not a claim that GreyShacks has a measured result in every sector.
01
Operations-heavy businesses
Manufacturing, logistics, field service and supply chains, where an exception still has to be reconstructed from several systems before anyone can act.
02
Professional and financial services
Delivery, finance and client work, where a summary is available and the record, the rule and the approval are still assembled by hand.
03
Customer operations
Requests that an assistant can classify, while someone else still looks up the facts, applies the policy and closes the case.
04
Multi-unit operations
Several teams running their own pilots, with no shared way to decide what a system may do to a customer or a financial record.
03Anonymized work
The story starts with the business problem.
Client names stay private. These pages do not report measured completion rates or cost.
Manufacturing
A sales team was losing qualified opportunities because follow-up depended on manual coordination across CRM, email and messaging systems.
Open the caseProfessional services
Delivery leaders could not see which engagements were at risk because status lived in email, slides and the memories of project managers.
Open the caseDiversified operations
A diversified family enterprise had AI experiments in three businesses and no common way to decide what should be allowed to act.
Open the caseManufacturingProfessional servicesFinance operationsCustomer operationsSupply chainMulti-unit operationsManufacturingProfessional servicesFinance operationsCustomer operationsSupply chainMulti-unit operations