How Aidium Runs Every Department With AI — by Design
Mar 13, 2025

David Brennan MBA
We talk about using AI in startups, but few founders I’ve met are doing it as deeply or deliberately as Spencer Dusebout, founder and CEO of Aidium.
This isn’t about plugging ChatGPT into marketing or asking Copilot to help with a bug. It’s about rethinking every department — from customer support to design to sales enablement — with AI as the first solution, not the afterthought.
And Spencer’s made it company policy: no department gets headcount until they’ve implemented AI.
Here’s how Aidium is doing it — and how you can apply the same principles no matter what stage you’re in.
Key Takeaways
• Aidium built an AI-first policy: no hires until AI is implemented
• Support team now handles 40%+ of requests through AI — and rising
• Engineers use Cursor + ChatGPT to write unit tests and build features 3x faster
• Designers use Figma AI for instant prototyping and faster customer feedback loops
• QA processes are driven by AI-generated test coverage — no manual lag
• Every department presents 3 new AI tools per quarter as part of ops planning

The Hiring Rule: AI Before Headcount
When Aidium’s support team hit a wall, Spencer didn’t greenlight a hire. Instead, he said:
“Implement AI. Then we’ll talk about new headcount.”
The result? Their in-app AI assistant now handles over 40% of incoming support tickets — up month over month — and only escalates when needed. Support volume went up. Headcount didn’t.
Now that policy applies to every department.
Engineering: 3x Output with Cursor & GPT
Spencer’s dev team doesn’t ship without AI. They use:
Cursor as a coding assistant
ChatGPT to auto-generate unit tests with 95%+ accuracy
Git commit hooks that require tests before merge
AI-powered code review tools to flag regressions and suggest fixes
“Engineers hate writing unit tests. Now they prompt them in 10 seconds — and move on.”
Development speed? 3x faster than two years ago.
QA: From Bottleneck to Accelerator
As Aidium’s user base grew, QA became the drag. Now:
AI helps generate and validate test cases
Non-engineer QA team members can prompt full test suites
Breaks get caught faster — and fixes ship with less manual coordination
“It’s not just about speed. It’s about keeping velocity without introducing chaos.”
Design & Research: Instant Prototyping with Figma AI
Before Figma AI, it could take weeks to go from idea to animated prototype. Now:
Designers prompt multiple flows in minutes
Customers give feedback on the fly
Iterations happen during the meeting, not two weeks later
“We used to ship four versions over two weeks. Now we show four flows in the first conversation.”
Strategy, Ops, and Product Planning — All AI-Driven
Spencer has made it a leadership ritual:
Every quarter, department heads bring 3 new AI tools
Internal projects (like positioning or customer research) start with AI
Tools like Deepsearch and GPT-based research agents now replace months of work in minutes
Even his emails are prompted through Superhuman.
“We’re not just using AI to build faster. We’re using it to think faster.”
Final Advice for Founders
“You can’t afford to wait. The tech is ahead of your habits. Roll up your sleeves and use it.”
Spencer’s view is clear: the founders who win in the next few years won’t be the ones with the best code — they’ll be the ones who build cultures around AI-first thinking.
Book a Free AI Assessment if you’re trying to build AI into the core of your company — not just your product. We’ll help you design the internal playbooks, prompts, and tooling to scale smarter across every department.