Problems we solve
Case studies
Frameworks & solutions

Why Mid-Sized Teams Keep Drowning in Busywork—And the Fastest Way Out

SupaHuman Team

Sunday, May 11, 2025

min read

If you’re reading this, chances are your team has already felt the drag: manual prospecting, repetitive reporting, endless document formatting. You know it's not just annoying—it’s costly.

But here’s the truth: most “fixes” mid-market companies have tried simply don’t scale.

Let’s look at the common go-tos—and why they failed:

1. Hiring More Admin Staff

Throwing people at the problem might feel like progress. But the result? More overhead, more complexity, and often, just more inefficiency. Admin roles become bottlenecks, not boosters.

2. DIY Automation with Off-the-Shelf Tools

Zapier here, a CRM integration there—it sounds smart. Until workflows break, teams abandon the tools, and nobody’s quite sure how to fix it. You end up with a patchwork of unmaintained “solutions.”

3. Outsourcing to Offshore Teams

This reduces cost… but adds layers of communication, timezone delays, and inconsistent quality. Worse, it doesn’t solve the real problem: your smartest people are still consumed managing tasks that tech could handle.

4. Hiring Developers to Build Custom Solutions

A bespoke AI or automation project might seem like the gold standard—until you’re six months and $100k in, with no usable output. For mid-market firms, it’s just not practical.

The Shift: AI That Fits Into Your Actual Workflow

Today’s smart mid-sized companies aren’t chasing moonshots—they’re choosing AI automation platforms that deliver fast, tangible results without blowing budgets or timelines.

That’s where SupaHuman AI comes in.

Instead of requiring deep tech talent or months of setup, SupaHuman plugs into your team’s existing tools, observes how work flows—and starts automating the right things immediately. Think of it as an AI co-pilot for your operations team, one that understands New Zealand’s business norms and gets results in weeks, not years.

What Does Success Look Like?

Let’s make it real.

Jani King, a major franchise network, faced the exact issues above. Their teams were buried in CRM updates, sales notes, and follow-ups that never scaled. After trying traditional solutions with little progress, they turned to SupaHuman.

Within weeks, their AI workspace was up and running—reclaiming thousands of hours in manual admin and unlocking a $1.2M revenue opportunity from leads that were previously lost in the shuffle.

👉 Read the full case study: How Jani King Transformed Lead Gen with SupaHuman AI

Ready to Move Past Band-Aid Solutions?

If you’ve tried the usual routes and hit a wall, it’s time to explore a smarter path.

AI that fits your business. Automation that frees your people. A partner who gets it.

Because mid-market businesses shouldn’t have to struggle just to keep up.

Don't miss future insights like this.

Continue reading

Case studies
Case studies
Frameworks & solutions

How Jani King Unlocked Over $1M in Revenue With SupaHuman AI - Without Hiring a Single New Rep

A Case Study in AI Automation, Sales Prioritisation, and Scalable Efficiency for Franchises

Button Text
Problems we solve
Case studies
Frameworks & solutions

Why Healthcare Research is Stuck in the Past — And What It’s Costing You

Healthcare research in NZ is mired in manual tasks—from hunting for data to assembling reports—wasting valuable time and talent. This blog exposes the hidden productivity crisis in health research workflows and highlights why fixing it is now urgent for mid-sized providers.

Button Text
Problems we solve
Case studies
Frameworks & solutions

What's Killing Efficiency: The Hidden Cost of Hunting for Answers

What everyday workplace hassle is quietly eroding your company’s productivity? For many businesses in Australia and New Zealand, it’s the simple act of hunting for information. Employees spend countless hours each week searching through emails, digging in shared folders, or pinging coworkers with questions - all just to find answers they need to do their jobs.

Button Text