CV screening + hiring approval
Modeled target
12 hrs/week reclaimed
Process chain
- 1Role brief
- 2CV triage
- 3Manager review
- 4Shortlist
Workflow examples
These breakdowns show how I structure AI-assisted work: messy request, intake, context rules, AI draft, review gate, approved output, and the operating metric the workflow should move. They are simulations, not client data.
Department playbook
Each card is a sample target, not a public proof claim. The point is to make the workflow, the commercial lever, and the implementation weight visible before anyone gets excited about tools.
Modeled target
12 hrs/week reclaimed
Process chain
Modeled target
20 hrs/week redirected
Process chain
Modeled target
35% faster first response
Process chain
Modeled target
Fewer partner escalations
Process chain
Modeled target
Shorter reporting cycle
Process chain
Modeled target
More qualified calls/day
Process chain
Deep dives
02 examples
Legal
Sample workflowA sample legal workflow showing how messy contract requests can become structured intake, AI-assisted clause analysis, and exception-only partner review.
Sample workflow simulation. Not client data.
Contract review cycle
Messy state: Unstructured intake with unclear risk toleranceStructured state: Review packet routed by risk tier
Government & operations
Sample workflowA background-informed sample showing how public operations need structured records, role-based access, reporting consistency, and reviewable handoffs before AI belongs in the workflow.
Sample workflow simulation informed by founder background. Not presented as Claver Consult client data.
Deployment footprint
Messy state: Fragmented unit-by-unit recordsStructured state: Shared operating model across units
Next step
The fastest way to evaluate fit is to start with a workflow your team already knows is expensive, slow, or inconsistent.