Use Cases
Agent-safe GTM workflows agents can actually follow
Each page maps a common AI-agent prompt to the governed fullstackgtm loop: inspect the GTM data, prepare a typed patch plan, get approval, then write only what was approved.
Give AI agents CRM access without letting them write unsupervised
A governed pattern for AI agents working in CRM: read broadly, propose typed patch plans, and write only after explicit human approval.
See the workflow → HubSpot approval gatePut an approval gate between AI agents and HubSpot
Use fullstackgtm as a HubSpot-safe plan/apply layer: agents audit and propose changes, humans approve, then the CLI writes only the approved operations.
See the workflow → Salesforce patch plansGenerate Salesforce CRM patch plans before anything writes
A Salesforce-safe workflow for agents and scripts: snapshot, audit, propose patch operations, approve, then apply with conflict checks.
See the workflow → Calls to CRM next stepsTurn call transcripts into approved CRM next-step updates
Parse, classify, score, link, and plan CRM next-step updates from sales calls without letting an agent silently edit deals.
See the workflow → CRM duplicate preventionPrevent duplicate CRM records before agents or integrations create them
Use the fullstackgtm resolve gate before any create flow: safe-to-create exits 0; exists or ambiguous exits 2.
See the workflow → Agent-safe enrichmentEnrich CRM records through dry-run diffs instead of fire-and-forget writeback
Pull enrichment data, match it deterministically, fill blanks only, and send every proposed value through the approval gate.
See the workflow →Ready to build your GTM data foundation?
Book a 30-minute call. We'll map your current stack, identify the gaps, and outline what Stage 3+ looks like for your team.