Salesforce → Google Drive Action Agent (Pattern Demo)
When CRM records change (Lead → Opportunity), use AI to decide what should happen in Google Drive—create/update files, structure workspaces, and keep teams aligned.
Walkthrough
Video
End-to-end view of how the workflow behaves in practice.
GitHub
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Architecture
How pieces connect
CRM events flow through policy-guarded orchestration into Google Drive, with audited write-back to Salesforce.
Step 01
Salesforce
Flows, platform events, or webhooks signal record lifecycle changes.
Step 02
Orchestration
Python service fetches context, enforces guardrails, and plans idempotent actions.
Step 03
LLM + tools
Constrained action menu for Drive ops under policy validation.
Step 04
Google Drive
Folders, Docs, Sheets, templates, sharing, and link outputs.
Step 05
Write-back & notify
URLs and status to Salesforce; optional Slack or email announcements.
Problem
What it helps with
CRM data changes constantly, but most teams still do the follow-up work manually: create folders, copy templates, update docs, share the right links, and keep everything organized. The exact Drive structure varies by organization, but the pattern is the same: CRM events should trigger consistent, policy-driven actions in Drive.
Behaviors
- Watches Salesforce for meaningful lifecycle events (Lead conversion, stage changes, owner changes, close date changes, product updates)
- Uses AI + rules to decide which Google Drive actions to take based on your playbooks and guardrails
- Creates and/or updates Drive assets: folder structures, Docs, Sheets, and shared links
- Copies templates and fills them with Salesforce fields, plus AI-generated summaries, risks, and next-step checklists (with human review where needed)
- Keeps Drive content current as the Opportunity evolves (e.g., update a proposal doc, append meeting notes, update an estimate sheet)
- Applies permissions and sharing policies based on Salesforce roles/teams and optional client-sharing constraints
- Writes Drive links and status back to Salesforce so the CRM stays the source of truth
Flow
How it works
- — 01Salesforce emits an event (Flow/Apex + Platform Event/Webhook) with the record ID and a snapshot of key fields
- — 02An orchestration service fetches full context (Opportunity/Account/Contacts/Products) and runs an LLM with tool access under strict guardrails
- — 03AI selects an action plan from a constrained menu (create folder, copy template, update doc, update sheet row, change sharing, post a link), and validates it against policy
- — 04The service executes Drive operations idempotently (dedupe, retries, and safe updates) and logs every action for auditability
- — 05Outputs are written back into Salesforce (Drive URL fields, activity/chatter notes, status flags) and optionally announced in Slack/email
- — 06Teams can override/approve sensitive actions while routine actions run automatically
Want this for your team?
We adapt triggers, approvals, and integrations to your environment — then ship for production discipline, not demos.
Next step
Something similar in your stack?
Tell us what systems and policies matter—we'll map a pragmatic path to a pilot.