procurement · saas · workflow
Cribl achieves 15% contract savings and 4 hours saved per benchmarking with Zip's agentic AI agents
Cribl's first procurement hire inherited a fragmented landscape with multiple disconnected tools, no formal spend management, inconsistent approval workflows, and manual data entry causing inaccurate records. Strategic tasks like price benchmarking consumed hours or even days, leaving little time for relationship-building.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Purchase request submitted
Employees submit all purchase requests through Zip as a single front door for the buying journey.
Tools used
ZipPrice Negotiation AgentHotel Contract Review AgentExecutive Summary Agent
Outcome
Cribl achieved 15% average contract savings, reduced benchmarking from 3-4 hours to 30 seconds to one minute, attained a 10-day average SLA from intake to contracting, and an 8.5/10 user satisfaction score, enabling the team to shift to strategic work.
Results
Time saved4 hours
Volume15%
Grounding & classification
Source type: vendor customer story
39 fields verified against source quotes.
agentic workflowai agentcontent generationdocument aisummarizationcontractemailhuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedsoftwarecost reductioncustomer satisfactioncycle time reductionemployee productivitytime savedvendor customer storyaccounts payablecontract managementprocurementagentic task executionai draft human approval