Charbel,
Welcome to the community. This is right in our wheelhouse.
Quick background: I’m a Make.com Gold Partner and was selected by Make to assist with their Startup Program, helping companies build reliable, scalable automations on the platform. Facilities intake workflows like this — high-volume email parsing, system integration, structured team notifications — are exactly the kind of builds we specialize in.
What I Understand
You’re processing a high volume of work orders weekly, most hitting a shared Gmail inbox (including portal-forwarded copies). FACIL-IT is your system of record, Google Chat is where your team coordinates, and you’re fully on Google Workspace. You want a Make.com automation that reliably captures work orders, creates/updates FACIL-IT records, and pushes structured notifications to Chat — with proper error handling so nothing falls through the cracks.
Phase 1 MVP (~30 Days)
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Gmail monitoring — watch the shared inbox and/or labels for new work orders, with deduplication logic so resends and thread updates don’t create duplicate jobs.
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Parsing and extraction — pull the key fields from each work order (client, location, WO number, trade, SLA, scope, attachments, etc.). Attachments get stored in a structured Drive folder and linked back into FACIL-IT and the Chat notification. When a message doesn’t parse cleanly, it routes to an exception queue instead of guessing.
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FACIL-IT integration — preferred path is direct API/webhook via Make’s HTTP modules with lookup-first logic to prevent duplicates. If FACIL-IT doesn’t expose a clean API, I’ll propose the most stable supported alternative and design the scenario so swapping to a proper API later is a one-layer change, not a rebuild.
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Google Chat notifications — consistent message card with job summary, assigned owner, SLA, next steps, and links. Routing rules so different trades or clients can post to different spaces.
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Reliability layer — built-in retries, a dead-letter path for records needing manual review, a centralized log for troubleshooting and replay, and failure alerts to a dedicated Chat space and/or email.
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Deliverables — fully documented Make scenarios with comments and editable routing rules, a mapping table for parsing and client-specific overrides, and a training/handoff session.
Phase 2 (Optional Add-On)
QuickBooks Online AR automation — weekly aging report pull, segmented reminder sequences (draft or send), and internal escalation alerts for past-due accounts with audit logging.
Security Approach
We prefer LastPass for any credential sharing that’s needed during the build. But more importantly, our standard process is to have you authorize the modules inside Make yourself — so we’re never handling your passwords directly. Dedicated service accounts, scoped permissions, least-privilege access throughout.
What I’ll Need From You Early
Access to the shared Gmail inbox (or delegated access), target labels, a Google Chat space for alerts, and — most importantly — confirmation of FACIL-IT’s integration options (API credentials, webhook support, or approved ingestion method). That last one is the biggest variable in the timeline, so the sooner we confirm it, the better.
Similar Work We’ve Built
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Multi-location service company (work order intake): Built a Make automation that monitored a shared inbox for incoming work orders across multiple client formats, parsed key fields with confidence scoring, created jobs in their field service platform via HTTP/API, stored attachments in Drive, and posted structured dispatch alerts with SLA flags to a team chat channel. Included exception routing and a full intake log with replay support.
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Recruiting firm (email-to-system pipeline): Automated the monitoring of an email inbox for incoming resumes, parsed candidate data, created records across multiple systems automatically, and archived processed files — eliminating 15+ hours per week of manual data entry for the team.
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Catering Company (QuickBooks Online + event platform integration): Connected Triple Seat and Square to QuickBooks Online via Make — matching payments to events, creating categorized journal entries, logging transactions to an audit trail, and alerting the team on exceptions. Same QBO integration pattern needed for your Phase 2 AR automation.
How We Handle Reliability
Every scenario includes retry logic for transient failures, idempotent processing to prevent duplicates, and a centralized log that supports troubleshooting and replay. Failure alerts go to Chat and/or email with enough context to act immediately.
Next Step
I’ll DM you on pricing and timeline details. Looking forward to it.
Keep Automating,
Jeff Arnold
4Spot Consulting | Make.com Gold Partner