Make.com | AI-Enhanced Bi-Directional Automation for CRM Sync

Built a complex bi‑directional automation in Make (Integromat) that keeps Google Sheets, GoHighLevel (GHL), and Follow Up Boss (FUB) perfectly in sync. Gemini AI processes conversations, normalizes fields, and structures notes, ensuring clean, real‑time data for sales and marketing teams.

Two‑Way Sync: Creates/updates contacts, leads, pipelines, and notes across Sheets, GHL, and FUB with conflict resolution.

AI Conversation Processing: Uses Gemini to summarize threads, extract intents/entities, and format action items.

Smart Mapping & Enrichment: Normalizes phone/email formats, dedupes by custom keys, and enriches missing fields.

Event‑Driven + Scheduled Runs: Webhooks for instant updates; periodic reconciliations to catch drifts.

Audit Trails & Alerts: Writes change logs to Sheets, posts Slack/email alerts, and preserves previous values.

Idempotent Upserts: Safe retries without duplicates via hash keys and revision timestamps.

Orchestration: Make (Integromat) scenarios, routers, error handlers, and queues

AI Layer: Google Gemini for NLU, summarization, and entity extraction

CRMs: GoHighLevel (contacts, opportunities, conversations), Follow Up Boss (people, deals, notes)

Data Layer: Google Sheets as master dashboard and reconciliation ledger

Notifications: Slack/Email webhooks for run status and exceptions

Trigger & Intake: Webhooks/Watch modules detect changes in any system.

Validate & Deduplicate: Verify required fields; match by email/phone/CRM IDs; merge records.

AI Processing: Summarize conversation text; extract tags, next steps, and sentiment; standardize note format.

Sync Actions: Upsert contacts/leads, update pipelines/stages, and append AI‑generated notes across CRMs.

Write‑Back & Mirror: Update Sheets with authoritative IDs, timestamps, and sync status.

Reconciliation Pass: Scheduled diff to fix missed events or conflicts.

Notify & Log: Send alerts; capture detailed run logs and error reasons for audit.

Conflicting Edits: Implemented “last‑writer‑wins” with source priority and revision timestamps.

Rate Limits: Batching, throttling, and exponential backoff within Make’s iterator/queue modules.

Data Quality: Regex normalization, validation rules, and AI‑assisted entity extraction to standardize records.

Eliminated data silos between marketing and sales CRMs.

Real‑time lead visibility and cleaner activity histories.

Faster follow‑ups with AI‑generated summaries and action items in both CRMs.

Deliver a reliable, AI‑enhanced sync that unifies Sheets, GHL, and FUB—improving lead management, reducing manual work, and ensuring consistent, up‑to‑date data across platforms.