back_office_ops · saas · workflow
How Heidi scales globally and saves 260+ hours a month with Notion AI
As Heidi rapidly expanded globally, critical knowledge about decisions and processes lived in the heads of the people who made them, creating compounding communication overhead with every new hire, market, and product surface.
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 · CEO yearly canons set direction
The CEO writes yearly canons—strategic documents that lay out Heidi's direction and are accessible to every employee.
Tools used
Notion AINotion AI Meeting NotesCustom AgentNotion MCPClaude CodeCursor
Outcome
Notion AI saves Heidi more than 260 hours every month—200 from faster knowledge retrieval and 60+ from Custom Agent-driven workflows—while improving decision quality as the company scales.
Results
Time saved260+ hours
Volume200 hours
Grounding & classification
Source type: vendor customer story
35 fields verified against source quotes.
agentic workflowai agentknowledge searchsummarizationknowledge basemeeting recordingsupport tickethuman review describedmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedhealthcaresoftwarecycle time reductionemployee productivitytime savedvendor customer storyback office opshr onboardingticket triageautonomous resolutionescalation workflowrag answering