### 1. Manual workflows to understand the baselineBefore you automate, it helps to map the old way. Here are three common manual patterns.**Method 1: Spreadsheet-driven quote building**1. In Salesforce, run an Opportunity report and export to CSV. See Salesforce help on exporting reports: https://help.salesforce.com/s/articleView?id=sf.reports_export.htm&type=52. Import the CSV into Google Sheets and clean columns. Google Sheets editing basics: https://support.google.com/docs/answer/30934803. Add pricing formulas, discounts and totals.4. Copy values into a Google Docs proposal template, then download as PDF and email manually.Pros: full control, no setup cost. Cons: error-prone, impossible to scale.**Method 2: Template per client segment**1. Create one master proposal in Google Docs with merge placeholders like {{client_name}} and {{total_price}}.2. Keep a Google Sheets tab per segment (SMB, mid-market, enterprise) with standard line items.3. For every deal, duplicate the closest template, then manually paste numbers from Sheets.Pros: slightly faster, more consistent messaging. Cons: still a lot of human copy-paste, approvals live in email.**Method 3: Email-based approval chain**1. Rep drafts proposal, sends to manager by email.2. Manager replies with edits in-line or in a separate attachment.3. Final version is saved somewhere on a shared drive.Pros: simple to start. Cons: zero visibility, hard to audit, delays everywhere.### 2. No-code automation with Google Sheets and SalesforceNow, let no-code tools handle the repetitive glue work.**A. Sync Salesforce opportunities into Google Sheets**1. Install the Salesforce Connector for Google Sheets add-on from the Google Workspace Marketplace.2. Use the add-on to connect to your Salesforce org, then build a query for open Opportunities with needed fields (amount, products, stage, owner).3. Schedule the query to refresh hourly so Sheets always reflects current pipeline. See Google help on connected Sheets add-ons: https://support.google.com/docs/answer/9457795Result: a live proposal workspace in Sheets without manual exports.**B. Use Sheets to auto-calc pricing and margins**1. Create a Products tab in Google Sheets with SKU, list price, discount bands and cost.2. On a Deals tab, use data validation to select SKUs and quantities, then VLOOKUP or XLOOKUP to pull prices.3. Use formulas to calculate totals, taxes and margins.4. Lock formula cells and share view or comment access only. Protect ranges as described here: https://support.google.com/docs/answer/1218656**C. Trigger proposal creation from Salesforce with Flow**1. In Salesforce, create a custom field on Opportunity called Proposal_Status.2. Build a Record-Triggered Flow that fires when Proposal_Status changes to Ready.3. In the Flow, update a lightweight integration object or send an outbound message/webhook to your automation tool (Zapier, Make, or a custom endpoint) that writes the Opportunity ID into Google Sheets.4. Use that trigger row to kick off downstream steps like document generation and email.Salesforce Flow overview: https://help.salesforce.com/s/articleView?id=sf.flow_build.htm&type=5Pros of no-code: low engineering lift, good for predictable paths, easy for ops teams to maintain. Cons: cross-app logic gets complex quickly, and UI steps (formatting, screenshots, rich personalization) still require humans.### 3. Scaling with an AI computer agent (Simular)Once you trust your data and no-code plumbing, you can let a Simular AI agent operate your computer like a tireless sales assistant.**Method 1: Agent-driven, row-by-row proposal creation**1. Design a Google Sheets Proposal Queue where each row is an approved Opportunity ID from Salesforce, plus fields like segment, language, and template type.2. Configure Simular Pro to watch for a webhook whenever a new row is added.3. When triggered, the agent: - Opens Salesforce in the browser, navigates to the Opportunity, and grabs contacts, products and terms. - Switches to Google Sheets, calculates pricing if needed, and logs the version. - Opens your proposal tool or Google Docs, duplicates the right template, and writes a tailored narrative using your messaging. - Downloads a PDF and sends it via Gmail or your email client, logging the activity back into Salesforce notes.Pros: end-to-end automation without brittle APIs, human-like flexibility across desktop, browser and cloud. Cons: needs careful initial scripting and guardrails.**Method 2: Agent-led proposal QA and follow-up**1. Have your reps generate drafts via existing tools.2. Add those drafts to a To Review folder.3. On schedule, a Simular agent opens each proposal, cross-checks numbers against Google Sheets and Salesforce, flags mismatches, and suggests next-best actions.4. The agent can then log into Salesforce, update fields, and create follow-up tasks or emails.Pros: dramatically reduces errors, enforces playbooks, and keeps humans focused on judgment calls. Cons: still requires periodic human spot checks and a stable desktop environment.**Method 3: High-volume campaign proposals**For agencies or outbound teams sending dozens of similar offers:1. Build a campaign list in Salesforce and sync to Google Sheets.2. Let a Simular agent iterate through each row, building and sending personalized proposals, tracking links, and recording sends.Pros: true at-scale personalization without extra headcount. Cons: you must invest in content governance so the agent always pulls approved language.

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