{"key":"ledgerbridge_operating_model_2026_03_21","title":"LedgerBridge Operating Model","content":"LedgerBridge operating model discussed on 2026-03-21.\n\nLedgerBridge should operate as a narrow service business with repeatable workflow stages.\n\nFront end:\n1. Lead generation\n- identify prospects with recurring export/reporting pain\n\n2. Outreach\n- personalized messages focused on manual cleanup pain\n\n3. Discovery\n- collect sample files and understand the current workflow\n\n4. Proposal\n- define scope, deliverable, and pricing\n\nMiddle:\n5. Setup/build\n- create customer-specific config and mapping\n- keep core pipeline deterministic\n\n6. Validation\n- test sample inputs and confirm output matches expectations\n\nBack end:\n7. Recurring delivery\n- run the workflow on a schedule\n- produce the clean consolidated report\n\n8. Support/maintenance\n- monitor input drift, handle failures, maintain configs, and support the customer\n\n9. Retention/expansion\n- upsell additional workflows, reports, or support levels\n\nOperating principle:\n- one customer, one workflow, two inputs, one output, one schedule is the right early model\n- avoid broadening into a platform too early\n- use AI to accelerate lead gen, discovery, proposal drafting, delivery summaries, and documentation\n- keep the data pipeline itself deterministic and testable.\n\n---\n**2026-03-21 17:25:58 UTC | Created via MCP**","summary":"LedgerBridge operating model discussed on 2026-03-21.\n\nLedgerBridge should operate as a narrow service business with repeatable workflow stages.\n\nFront end:\n1. Lead generation\n- identify prospects with recurring export/reporting pain\n\n2. Outreach\n- personalized messages focused on manual cleanup pain\n\n3. Discovery\n- collect sample files and understand the current workflow\n\n4. Proposal\n- define scope, deliverable, and pricing\n\nMiddle:\n5. Setup/build\n- create customer-specific config and mapping\n- keep core pipeline deterministic\n\n6. Validation\n- test sample inputs and confirm output matches expectations\n\nBack end:\n7. Recurring delivery\n- run the workflow on a schedule\n- produce the clean consolidated report\n\n8. Support/maintenance\n- monitor input drift, handle failures, maintain configs, and support the customer\n\n9. Retention/expansion\n- upsell additional workflows, reports, or support levels\n\nOperating principle:\n- one customer, one workflow, two inputs, one output, one schedule is the right early model\n- avoid broadening into a platform too early\n- use AI to accelerate lead gen, discovery, proposal drafting, delivery summaries, and documentation\n- keep the data pipeline itself deterministic and testable.\n\n---\n**2026-03-21 17:25:58 UTC | Created via MCP**","status":"active","namespace":"general","namespace_name":"general","namespace_tier":"shared","tags":[]}