Airtable can run your entire operation - but most teams are using 20% of what it can do.

What We Build on Airtable

Campaign & Project Tracking

Intake & Approval Automation

Executive Oversight Dashboards

AI-Powered Reporting

Tool Integrations

How It Works

Community

Coaching

Implementations

“It’s been a complete game changer for our team.”

Common Questions

Airtable is a cloud-based platform that combines the structure of a database with the usability of a spreadsheet. Teams use it to track projects, manage workflows, automate processes, and build custom operational systems — without writing code. Unlike a spreadsheet, Airtable supports relational data, automations, custom views, dashboards, and integrations with tools like Slack, HubSpot, Salesforce, and Google Drive.

Airtable offers a free plan for small teams with basic features. Paid plans start at $20 per user per month (Plus), with Team at $45 per user per month and Business at $54 per user per month. Enterprise plans are custom-priced. Most mid-size teams running operational workflows land on the Team or Business plan. Note that the cost of the platform is separate from the cost of building and architecting the system — which is where we come in.

Primarily marketing and operations teams at companies with 50–1,000 employees. We’ve built for corporate communications, creative production, agency operations, nonprofit program management, and legal operations.

Yes — most of our clients already have an Airtable setup. We redesign and rebuild it properly rather than starting from scratch where possible.

Coaching is for teams who want to build the system themselves with expert guidance. Implementation is fully done-for-you — we design, build, and hand it off with training and documentation.

Depends on scope. A Workflow Assessment takes one session. A Blueprint is delivered within 48 hours of scoping. A full implementation typically runs 4–8 weeks.

Yes — Airtable automations, Make.com workflows, Zapier integrations, and custom API connections depending on what the system needs.

Yes, where it makes sense. We build AI layers that do real work — automated status reporting, document processing, proposal generation — not AI features that look impressive but don’t improve the operation.

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