Spreadsheets

Google Sheets + Smart AI Workspace

Plenty of businesses run critical processes in a spreadsheet someone updates by hand every morning. I automate the update and leave Sheets as the familiar interface.

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How I use Google Sheets

A lot of businesses run critical processes in a spreadsheet that someone updates by hand every morning. I automate the update. Sheets stays as the familiar interface; the copying, pasting, formatting, and cross-checking happens on its own.

I connect via the Google Sheets API with access scoped to the specific files, read rows as workflow inputs, write results back on a schedule or trigger, and add Claude where cells need interpretation rather than a formula.

For reporting, Sheets is often the last mile — the workflow does the data work and drops a clean, formatted tab your stakeholders already know how to read.

Google Sheetsis rarely the whole system — it's one connected piece of a workflow I scope, build, and run end to end. See how I build automation or read what AI automation actually costs in 2026. Curious what your manual version costs today? Estimate it with the ROI calculator.

What I automate with Google Sheets

  • Auto-populate reports and dashboards from CRM, database, and API data on schedule
  • Use sheet rows as triggers or inputs for larger workflows
  • Replace manual copy-paste between tools with a scheduled sync
  • Have Claude categorise, summarise, or QA rows that a formula can't handle

Example workflows I build

01

Morning numbers tab

Before the team logs on, a workflow pulls yesterday's sales, support, and finance figures, writes them to a formatted Sheet tab, and posts the headline changes to Slack with a short Claude-written commentary.

02

Row-triggered onboarding

Someone adds a client row to a Sheet. That kicks off account creation, a Notion project page, a welcome email draft, and a CRM record — the spreadsheet stays the simple front end.

03

List cleanup and enrichment

A pasted list of companies is deduped, validated, and enriched with firmographic data, and Claude flags the rows that look wrong or ambiguous for a human to check.

Not sure what to automate first?

I map one or two of your processes in a free audit and tell you honestly whether automation pays off yet.

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Related Integrations

HubSpot

CRM

The CRM I integrate with most for smaller B2B teams. I close the gap between 'a lead exists' and 'the right person is talking to them with context' — enrichment, qualification, routing, and follow-up.

Airtable

Database

Airtable is the quickest home for a workflow when a full database is overkill — content pipelines, approval queues, lightweight CRMs — with automation driving the views your team works in.

PostgreSQL

Databases

When a workflow needs a real source of truth — not a spreadsheet, not a SaaS tool's database — I use PostgreSQL for operational data, reporting, and pgvector knowledge stores.

Google Sheets integration FAQ

Frequently Asked Questions

Is a Google Sheet reliable enough to build on?
For inputs and human-facing outputs, yes. For high-volume or multi-user transactional data I keep the source of truth in a database and use Sheets as the view.
What access do you need to our Google account?
API access scoped to the specific spreadsheets, usually through a service account you can revoke any time. Not your whole Drive.
Will automated writes break our formulas and pivot tables?
No. Workflows write to defined ranges or dedicated tabs, and I test against a copy of your file before touching the live one.
Can it handle multiple people editing the sheet?
Yes, within reason. Workflows target specific ranges and check for changes, but for heavy concurrent editing a proper database is the better home.

Ready to connect Google Sheets?

I'll scope the integration in a free automation audit and build the workflows around your process.

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