Research for the agentic economy.
Original analysis focused on the practical mechanics behind AI products: user workflows, platform surfaces, permissions, ecosystem incentives and the commercial structures that make integrations durable.
Stripe × AI: the transaction layer for agents
How payment, billing and merchant workflows change when assistants move from explanation to governed action.
↗CRM · EnterpriseSalesforce × AI: context becomes action
What it takes to turn customer records and enterprise permissions into useful agent workflows.
↗Enterprise workflowsServiceNow × AI: governed workflow execution
How agents can connect requests, approvals and enterprise service systems without hiding control.
↗CommerceShopify × AI: merchant-approved actions
Agentic commerce viewed through merchant control, customer data, order actions and distribution.
↗Developer platformsGitHub × AI: a durable coding-agent surface
Repository context, issues, pull requests and granular permissions as one connected workflow.
↗Revenue systemsHubSpot × AI: a revenue agent surface
How customer context, follow-up and workflow actions can sit around a governed CRM record.
↗Document capabilities. Label interpretation.
GoZiffy research separates primary-source platform facts from independent analysis. Hypothetical partnership concepts do not imply an actual commercial relationship, endorsement or planned product.
Read less. Test more.
The PartnerLab radar and simulator turn the written framework into an interface so users can compare assumptions and examine how different partnership surfaces change the thesis.
Open Opportunity Radar ↗